@article{Ilomaki:2009,
  abstract = {Computer applications are an everyday tool for music analysts, composers, and music theory students. While these applications are a welcome tool to be used in the classrooms and research labs, their effectiveness could be improved by focusing on their usability. The usability of a user interface can be evaluated and even measured with respect to the goals of its users. In order to demonstrate the evaluation of a user interface, I present an experiment in which the efficiency of user interfaces is assessed in the context of three scenarios or ``use cases.'' Based on the experiment, I discuss some basic principles of usability theory, such as affordances, minimization of navigation, error handling, immediate feedback, and data visibility. The evaluation of these principles suggests some new types of music theory applications. },
  added-at = {2012-02-16T17:14:29.000+0100},
  author = {Ilom{\"a}ki, Tuukka},
  bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-540-85035-9_6},
  biburl = {http://www.bibsonomy.org/bibtex/21f0f19bce05b718400572c28f4772477/keinstein},
  crossref = {LNCS2969},
  date-added = {2009-11-11 21:50:25 +0100},
  date-modified = {2009-11-11 21:51:27 +0100},
  doi = {10.1007/978-3-540-85035-9_6},
  groups = {public},
  interhash = {bd338a2ca83b784021d3f1490e02ba49},
  intrahash = {1f0f19bce05b718400572c28f4772477},
  journal = {Computer Music Modeling and Retrieval. Sense of Sounds},
  keywords = {},
  pages = {98--109},
  timestamp = {2012-02-16T17:14:29.000+0100},
  title = {The Usability of Music Theory Software: The Analysis of Twelve-Tone Music as a Case Study},
  username = {keinstein},
  year = 2009
}

@techreport{Schlemmer:2011,
  added-at = {2012-02-16T17:13:19.000+0100},
  annote = {in preperation},
  author = {Schlemmer, Tobias},
  biburl = {http://www.bibsonomy.org/bibtex/2a39cc41bf5f94371e10c9d127fff287c/keinstein},
  date-added = {2011-04-01 20:49:59 +0200},
  date-modified = {2011-06-09 19:13:59 +0200},
  groups = {public},
  institution = {Technische Universit{\"a}t Dresden},
  interhash = {9ad861ace7cd57bf200efa94e510fcba},
  intrahash = {a39cc41bf5f94371e10c9d127fff287c},
  keywords = {},
  number = {MATH-AL-02-2011},
  rating = {3},
  read = {1},
  timestamp = {2012-02-16T17:13:19.000+0100},
  title = {Lineare {E}rweiterungen von partiell geordneten abelschen {G}ruppen mittels {H}yperebenen in reellen {V}ektorr{\"a}umen},
  type = {Preprint},
  username = {keinstein},
  year = 2011
}

@article{Romanowska:1974,
  added-at = {2012-02-16T17:11:44.000+0100},
  author = {Romanowska, A.},
  biburl = {http://www.bibsonomy.org/bibtex/21631f45de074c114721ae9212828af60/keinstein},
  booktitle = {Algebraic structure of the tone system.},
  crossref = {demonstratiomatematica},
  date-added = {2010-09-16 19:38:56 +0200},
  date-modified = {2010-09-16 19:40:53 +0200},
  groups = {public},
  interhash = {282594ec42754eb678f3eb33fb1f5409},
  intrahash = {1631f45de074c114721ae9212828af60},
  keywords = {},
  number = 2,
  pages = {525--542o},
  timestamp = {2012-02-16T17:11:44.000+0100},
  title = {Algebraic structure of the tone system.},
  username = {keinstein},
  volume = 1974,
  year = 1974
}

@article{Foggia:2001,
  abstract = {Despite the significant number of isomorphism algorithms presented in the literature, till now no efforts have been done to characterize their different performance in terms of matching time. It is not clear how the behavior of those algorithms varies as the type and the size of the graphs to be matched varies in case of real applications. In this paper we present a benchmarking activity for characterize the performance of a bunch of algorithms for exact isomorphism: to this purpose we use a database of graphs specifically developed for this task. 1.},
  added-at = {2012-02-16T17:11:40.000+0100},
  author = {Foggia, P. and Sansone, C. and Vento, M.},
  biburl = {http://www.bibsonomy.org/bibtex/21b3a5f65e3c7de93a9d0aec6d0ff5838/keinstein},
  groups = {public},
  institution = {CiteSeerX - Scientific Literature Digital Library and Search Engine [http://citeseerx.ist.psu.edu/oai2] (United States)},
  interhash = {b7c05406a89c071eea64812a31451470},
  intrahash = {1b3a5f65e3c7de93a9d0aec6d0ff5838},
  keywords = {},
  location = {http://www.scientificcommons.org/43608984},
  timestamp = {2012-02-16T17:11:40.000+0100},
  title = {A Performance Comparison of Five Algorithms for Graph Isomorphism},
  url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.98.2640},
  username = {keinstein},
  year = 2001
}

@article{Katsaros2011,
  abstract = {This paper studies the impacts of vehicular communications on efficiency of traffic in urban areas. We consider a Green Light Optimized Speed Advisory application implementation in a typical reference area and present the results of its performance analysis using an integrated cooperative intelligent transportation systems simulation platform. In addition, we study route alternation using vehicle-to-infrastructure and vehicle-to-vehicle communications. Our interest was to monitor the impacts of these applications on fuel and traffic efficiency by introducing metrics for average fuel consumption, average stop time behind a traffic light and average trip time, respectively. For gathering the results, we implemented two traffic scenarios defining routes through an urban area including traffic lights. The simulations are varied for different penetration rates of application-equipped vehicles, driver's compliance to the advised speed and traffic density. Our results indicate that Green Light Optimized Speed Advisory systems could improve fuel consumption, reduce traffic congestion in junctions and the total trip time. Copyright (C) 2011 John Wiley & Sons, Ltd.},
  added-at = {2012-02-14T04:46:59.000+0100},
  af = {Katsaros, KonstantinosEOLEOLKernchen, RalfEOLEOLDianati, MehrdadEOLEOLRieck, DavidEOLEOLZinoviou, Charalambos},
  author = {Katsaros, K. and Kernchen, R. and Dianati, M. and Rieck, D. and Zinoviou, C.},
  biburl = {http://www.bibsonomy.org/bibtex/265341fbfa1cb18d1df894fd42472199d/atriana},
  c1 = {[Katsaros, Konstantinos; Kernchen, Ralf; Dianati, Mehrdad; Zinoviou, Charalambos] Univ Surrey Guildford, Dept Elect Engn, Ctr Commun Syst Res, Surrey GU2 7XH, England.EOLEOL[Rieck, David] Fraunhofer Inst Open Commun Syst, D-10589 Berlin, Germany.},
  de = {vehicular communications; traffic light advisory; route advisory; fuelEOLEOLconsumption; traffic congestion},
  doi = {10.1002/wcm.1233},
  em = {K.Katsaros@surrey.ac.uk},
  ga = {869JP},
  groups = {public},
  interhash = {65e52cd03185a0393ddee3bd822e5876},
  intrahash = {65341fbfa1cb18d1df894fd42472199d},
  j9 = {WIREL COMMUN MOB COM},
  ji = {Wirel. Commun. Mob. Comput.},
  journal = {Wireless Communications \& Mobile Computing},
  keywords = {},
  la = {English},
  month = {#dec#},
  nr = {23},
  number = 12,
  pa = {COMMERCE PLACE, 350 MAIN ST, MALDEN 02148, MA USA},
  pages = {1657--1667},
  pg = {11},
  pi = {MALDEN},
  publisher = {Wiley-blackwell},
  rp = {Katsaros, K (reprint author), Univ Surrey, Dept Elect Engn, Ctr Commun Syst Res, Guildford GU2 7XH, Surrey, England},
  sc = {Computer Science; Engineering; Telecommunications},
  si = {SI},
  sn = {1530-8669},
  tc = {0},
  timestamp = {2012-02-14T04:46:59.000+0100},
  title = {Application of vehicular communications for improving the efficiency of traffic in urban areas},
  username = {atriana},
  ut = {WOS:000298594500015},
  volume = 11,
  wc = {Computer Science, Information Systems; Engineering, Electrical &EOLEOLElectronic; Telecommunications},
  year = 2011,
  z9 = {0}
}

@article{Yeo2010,
  abstract = {Vehicle-to-vehicle (V2V) cooperative systems that alert drivers to roadway hazards are increasingly being studied to improve freeway safety and should be implemented by automakers in the near future. However, the impact of these systems on traffic operations has not been assessed. A methodology is described for modeling driver response to lane-blocking freeway incidents with and without the use of V2V hazard alerts. Driver response to assumed incidents and V2V safety messages is modeled microscopically with the NGSIM oversaturated freeway flow algorithm. The simulation results show how the V2V alerts could influence freeway traffic and provide initial estimates of their benefits.},
  added-at = {2012-02-14T04:46:57.000+0100},
  af = {Yeo, HwasooEOLEOLShladover, Steven E.EOLEOLKrishnan, HariharanEOLEOLSkabardonis, Alexander},
  author = {Yeo, H. and Shladover, S. E. and Krishnan, H. and Skabardonis, A.},
  biburl = {http://www.bibsonomy.org/bibtex/2dc4bc16bdfcbfc8aa6641f7af9249fc3/atriana},
  c1 = {[Yeo, Hwasoo] Korea Adv Inst Sci & Technol, Dept Civil & Environm Engn, Taejon 305701, South Korea.EOLEOL[Shladover, Steven E.] Univ Calif Berkeley, Inst Transportat Studies, Calif PATH Program, Richmond Field Stn, Richmond, CA 94804 USA.EOLEOL[Krishnan, Hariharan] Gen Motors Res & Dev Ctr, Elect & Controls Integrat Lab, Warren, MI 48083 USA.EOLEOL[Skabardonis, Alexander] Univ Calif Berkeley, Inst Transportat Studies, Berkeley, CA 94720 USA.},
  citedreferences = {YEO H, 2009, TRANSP TRAFF THEOR, P99 ; Yeo H, 2008, TRANSP RES RECORD, P68, DOI 10.3141/2088-08 ; YEO H, 2008, APPL ADV TECHN TRANS ; YEO H, 2008, ASYMMETRIC MICROSCOP ; MILLER JR, 2007, CONT RIV GEOM APPR, pR13 ; LAVAL AJ, 2006, TRANSPORTATION RES B, V40, P251 ; EICHLER S, 2005, P 13 IEEE INT S MOD, P507 ; Kerner BS, 2004, PHYSICA A, V333, P379, DOI 10.1016/j.physa.2003.10.017 ; NEWELL GF, 2002, TRANSPORT RES B-METH, V36, P196 ; BRACKSTONE M, 1999, TRANSPORT RES F-TRAF, V2, P181 ; NEWELL GF, 1965, P 2 INT S THEOR TRAF, P73 ; *NGSIM, HOM NEXT GEN SIM COM},
  doi = {10.3141/2189-08},
  em = {hwasoo@kaist.ac.kr},
  fu = {General Motors Research},
  fx = {The research described in this paper was supported by General MotorsEOLEOLResearch.},
  ga = {727IE},
  groups = {public},
  interhash = {01bf271aa7ca383a4d46d9f26b0f894e},
  intrahash = {dc4bc16bdfcbfc8aa6641f7af9249fc3},
  j9 = {TRANSP RES RECORD},
  ji = {Transp. Res. Record},
  journal = {Transportation Research Record},
  keywords = {},
  la = {English},
  nr = {12},
  number = 2189,
  pa = {2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA},
  pages = {68--77},
  pg = {10},
  pi = {WASHINGTON},
  publisher = {Natl Acad Sciences},
  rp = {Yeo, H (reprint author), Korea Adv Inst Sci & Technol, Dept Civil & Environm Engn, 335 Gwahangno, Taejon 305701, South Korea},
  sc = {Engineering; Transportation},
  sn = {0361-1981},
  tc = {0},
  timestamp = {2012-02-14T04:46:57.000+0100},
  title = {Microscopic Traffic Simulation of Vehicle-to-Vehicle Hazard Alerts on Freeway RID C-2056-2011},
  username = {atriana},
  ut = {WOS:000287791000008},
  wc = {Engineering, Civil; Transportation; Transportation Science & Technology},
  year = 2010,
  z9 = {0}
}

@article{Bohm2008,
  abstract = {Applications in intelligent communication technologies for intelligent transport systems are one of the key means to ensure safe and efficient driving through the increasingly overloaded road infrastructure. The most recent development is the implementation of cooperative traffic management systems, with the establishment of a wireless infrastructure-to-vehicle (12V) data-communication link for the transmission of safety-critical as well as legally binding messages into the vehicle. The most critical technical aspect for the development of wireless communication between infrastructure and vehicles is the secure and safe transmission of the safety-relevant road information in real time in all kinds of traffic situations to all vehicles within a specific road segment. Within the project Co-operative Systems for Intelligent Road Safety, a 48-month integrated project cofunded by the European Commission-Information Society and Media-in the 6th Framework Program, an evaluation of the different wireless communication technologies (e.g., broadcast, cell-based, and dedicated short range technologies) was performed after the main criteria for assessment were defined. The preliminary results show that there is no wireless communication technology available that fulfils all requirements for 12V communication cooperative traffic management.},
  added-at = {2012-02-14T04:46:55.000+0100},
  af = {Boehm, MartinEOLEOLPfliegl, ReinhardEOLEOLFroetscher, Alexander},
  author = {Bohm, M. and Pfliegl, R. and Frotscher, A.},
  biburl = {http://www.bibsonomy.org/bibtex/27fec91a94e2e3c06f90169c5fdb170e1/atriana},
  c1 = {[Boehm, Martin; Pfliegl, Reinhard; Froetscher, Alexander] AustriaTech Fed Agcy Technol Measures Ltd, A-1220 Vienna, Austria.},
  citedreferences = {Chang CJ, 2007, IEEE T INTELL TRANSP, V8, P223, DOI 10.1109/TITS.2006.889440 ; Lee KT, 2007, IEEE COMMUN MAG, V45, P10 ; BOHM M, 2007, ITS EUR 2007 AALB DE ; MCDONALD M, 2007, D52100 COOPERS U SOU, P70 ; FISCHER C, 2007, 33001 COOPERS IR EFK, P15 ; HESS S, 2006, FREQUENCY SPECTRUM I ; TAUSCHEK S, 2006, AUTOMOBIL ELEKT APR, P18 ; *WIMAX FOR TECHN W, 2006, WIMAX FOR MOB SYST P, P44 ; KUMAGAI M, 2005, 12 WORLD C INT TRANS ; SHLADOVER SE, 2005, PREPARING WAY VEHICL ; WEVERS K, 2005, TRB ANN M TRANSP RES, P1 ; SCHWEIGER CL, 2003, 92 TCRP TRB NAT RES, P28 ; CAI J, 1997, IEEE COMMUN MAG, V35, P122 ; LIU Y, 1910, J TRANSPORTATION RES, P29},
  doi = {10.3141/2086-12},
  em = {martin.boehm@austriatech.org},
  ga = {399KA},
  groups = {public},
  interhash = {b95fe864f4d5fa9d8a909200f96a8708},
  intrahash = {7fec91a94e2e3c06f90169c5fdb170e1},
  j9 = {TRANSP RES RECORD},
  ji = {Transp. Res. Record},
  journal = {Transportation Research Record},
  keywords = {},
  la = {English},
  nr = {14},
  number = 2086,
  pa = {2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA},
  pages = {100--106},
  pg = {7},
  pi = {WASHINGTON},
  publisher = {Natl Acad Sciences},
  rp = {Bohm, M (reprint author), AustriaTech Fed Agcy Technol Measures Ltd, Donau City Str 1, A-1220 Vienna, Austria},
  sc = {Engineering; Transportation},
  sn = {0361-1981},
  tc = {0},
  timestamp = {2012-02-14T04:46:55.000+0100},
  title = {Wireless Infrastructure-to-Vehicle Communication Technologies to Increase Road Safety Along Motorways},
  username = {atriana},
  ut = {WOS:000262797600012},
  wc = {Engineering, Civil; Transportation; Transportation Science & Technology},
  year = 2008,
  z9 = {0}
}

@article{Alvarez2010,
  abstract = {Collecting data for traffic simulation is expensive, particularly for large simulated systems. When traditional methods are used, data are normally collected for only one day or a few days and may not represent variations in traffic demands and conditions throughout the year. Collected data usually are imperfect, and additional efforts are needed to compensate for missing and erroneous data and to resolve data inconsistencies. In recent years, agencies have started archiving data collected by intelligent transportation systems (ITS). The ITS data archives can provide cost-effective, detailed information for the development and calibration of simulation tools if procedures are used to ensure data quality and to allow optimal categorization and use of the archived ITS data. An effort to develop a series of data manipulation procedures for the use of ITS data archives in support of simulation modeling is discussed. These procedures allow the extraction of collected volume data from ITS data archives, automatic identification of temporal patterns in the data, automatic segmentation of daily demands into dynamically captured subperiods to best fit variations in demand, resolution of possible spatial inconsistencies in the data, and estimation of missing volumes. The developed procedures have been implemented as an automated tool for populating simulation models. The procedures and the developed tool can easily be adapted by other traffic agencies to interface with their ITS data archives.},
  added-at = {2012-02-14T04:46:54.000+0100},
  af = {Alvarez, PatricioEOLEOLHadi, MohammedEOLEOLZhan, Chengjun},
  author = {Alvarez, P. and Hadi, M. and Zhan, C. J.},
  biburl = {http://www.bibsonomy.org/bibtex/244cb34b0e999578839b7dec66d4278c8/atriana},
  c1 = {[Alvarez, Patricio; Hadi, Mohammed] Florida Int Univ, Dept Civil & Environm Engn, Miami, FL 33174 USA.EOLEOL[Zhan, Chengjun] Florida Int Univ, Lehman Ctr Transportat Res, Miami, FL 33174 USA.},
  citedreferences = {COURAGE KG, 2008, DEV CENTRAL DATA WAR ; ALEXIS V, 2008, PUBLICATION US DEP T ; XIN W, 2006, TRANSPORT RES REC, V1965, P192 ; HILLIER FS, 2005, INTRO OPERATIONS RES ; ALPAYDIN E, 2004, INTRO MACHINE LEARNI ; *FHWA, 2004, PUBL US DEP TRANSP ; GOMEZ G, 2004, UCBITSPRR20044 ; BARCELO J, 2003, 10 WORLD C INT TRANS ; BERCELO J, 2002, 9 WORLD C INT TRANSP ; KEOGH EJ, 2001, 2001 IEEE INT C DAT ; *NAT RES COUNC TRB, 2000, HIGHW CAP MAN},
  description = {Paper que expone, los diferentes conjuntos de datos para soportar simulación},
  doi = {10.3141/2161-04},
  em = {Palva002@fiu.edu},
  fu = {Florida Department of Transportation (FDOT) Research Center},
  fx = {The work reported in this paper was conducted as part of a projectEOLEOLfunded by the Florida Department of Transportation (FDOT) ResearchEOLEOLCenter. The authors gratefully acknowledge FDOT support of this effort.},
  ga = {663SZ},
  groups = {public},
  interhash = {300fb3e16d2336bae6653ae0b52ae542},
  intrahash = {44cb34b0e999578839b7dec66d4278c8},
  j9 = {TRANSP RES RECORD},
  ji = {Transp. Res. Record},
  journal = {Transportation Research Record},
  keywords = {},
  la = {English},
  nr = {11},
  number = 2161,
  pa = {2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA},
  pages = {29--39},
  pg = {11},
  pi = {WASHINGTON},
  publisher = {Natl Acad Sciences},
  rp = {Alvarez, P (reprint author), Florida Int Univ, Dept Civil & Environm Engn, 10555 W Flagler St, Miami, FL 33174 USA},
  sc = {Engineering; Transportation},
  sn = {0361-1981},
  tc = {0},
  timestamp = {2012-02-14T04:46:54.000+0100},
  title = {Data Archives of Intelligent Transportation Systems Used to Support Traffic Simulation},
  username = {atriana},
  ut = {WOS:000282911500004},
  wc = {Engineering, Civil; Transportation; Transportation Science & Technology},
  year = 2010,
  z9 = {0}
}

@article{Yin2002,
  abstract = {This paper develops a fuzzy-neural model (FNM) to predict the traffic flows in an urban street network, which has long been considered a major element in the responsive urban traffic control systems. The FNM consists of two modules: a gate network (GN) and an expert network (EN). The GN classifies the input data into a number of clusters using a fuzzy approach, and the EN specifies the input-output relationship as in a conventional neural network approach. While the GN groups traffic patterns of similar characteristics into clusters, the EN models the specific relationship within each cluster. An online rolling training procedure is proposed to train the FNM, which enhances its predictive power through adaptive adjustments of the model coefficients in response to the real-time traffic conditions. Both simulation and real observation data are used to demonstrative the effectiveness of the method. (C) 2002 Elsevier Science Ltd. All rights reserved.},
  added-at = {2012-02-14T04:46:53.000+0100},
  af = {Yin, HBEOLEOLWong, SCEOLEOLXu, JMEOLEOLWong, CK},
  author = {Yin, H. B. and Wong, S. C. and Xu, J. M. and Wong, C. K.},
  biburl = {http://www.bibsonomy.org/bibtex/27480fff053dd4d77909f75d8d843606a/atriana},
  c1 = {S China Univ Technol, Coll Traff & Commun, Guangzhou, Peoples R China.EOLEOLUniv Hong Kong, Dept Civil Engn, Hong Kong, Hong Kong, Peoples R China.},
  citedreferences = {*FED HIGHW ADM, 1998, TRAFF SOFTW INT SYST ; LEDOUX C, 1997, TRANSPORT RES C-EMER, V5, P287 ; SHEPHERD AJ, 1997, 2 ORDER METHODS NEUR ; GARTNER NH, 1995, TRANSPORT RES REC, V1494, P98 ; DOUGHERTY MS, 1994, ARTIF INTELL, P235 ; WASSERMAN PD, 1993, ADV METHODS NEURAL C ; BOILLOT F, 1992, 2 INT CAPR SEM URB T, P753 ; GARTNER NH, 1991, TRANSPORT RES REC, V1324, P105 ; LUK JYK, 1989, SR43 AUSTR ROAD RES ; CREMER M, 1987, TRANSPORTATION RES B, V21, P17 ; HUNT PB, 1981, LR1014 TRRL ; SIMS AG, 1979, P ENG FDN C RES DIR, P12},
  de = {traffic flow prediction; urban traffic control system; fuzzy-neuralEOLEOLmodel; online rolling training procedure; time series forecasting},
  doi = {10.1016/S0968-090X(01)00004-3},
  ga = {508TN},
  groups = {public},
  interhash = {4b2cf21c66c27621f3bc3345f706e2a2},
  intrahash = {7480fff053dd4d77909f75d8d843606a},
  j9 = {TRANSPORT RES C-EMER},
  ji = {Transp. Res. Pt. C-Emerg. Technol.},
  journal = {Transportation Research Part C-emerging Technologies},
  keywords = {},
  la = {English},
  month = {#apr#},
  nr = {12},
  number = 2,
  pa = {THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND},
  pages = {85--98},
  pg = {14},
  pi = {OXFORD},
  publisher = {Pergamon-elsevier Science Ltd},
  rp = {Yin, HB (reprint author), S China Univ Technol, Coll Traff & Commun, Guangzhou, Peoples R China},
  sc = {Transportation},
  sn = {0968-090X},
  tc = {86},
  timestamp = {2012-02-14T04:46:53.000+0100},
  title = {Urban traffic flow prediction using a fuzzy-neural approach RID A-7258-2008},
  username = {atriana},
  ut = {WOS:000173105800001},
  volume = 10,
  wc = {Transportation Science & Technology},
  year = 2002,
  z9 = {98}
}

@article{Logi2002,
  abstract = {This paper describes CARTESIUS, an innovative multi-agent architecture for the provision of real-time decision support to Traffic, Operations Center personnel for coordinated, inter-jurisdictional traffic congestion management on freeway and surface street (arterial) networks. CARTESIUS is composed of two interacting knowledge-based systems that perform cooperative reasoning and resolve conflicts, for the analysis of non-recurring congestion and the on-line formulation of integrated control plans. The two agents support incident management operations for a freeway and an adjacent arterial subnetwork and interact with human operators, - determining control recommendations in response to the occurrence of incidents. The multi-decision maker approach. adopted by CARTESIUS reflects the spatial and administrative organization of traffic management agencies in US cities, providing a cooperative solution that exploits the agencies' willingness to cooperate and unify their problem-solving capabilities, yet preserves the different levels of authority and the inherent distribution of data and expertise. The interaction between the agents is based on the functionally accurate, cooperative paradigm, a distributed problem solving approach aimed at producing consistent solutions without requiring the agents to have shared access to all globally available information. The cornerstone of this approach is the assumption that effective solutions can be efficiently obtained even when complete and up-to-date information is not directly available to the agents, thus reducing the need for complex data communication networks and synchronization time delays. The simulation-based evaluation of the system performance validates this assumption. The paper focuses on the distributed architecture of the agents and on their communication and decision making characteristics. (C) 2002 Elsevier Science Ltd. All rights reserved.},
  added-at = {2012-02-14T04:46:47.000+0100},
  af = {Logi, FEOLEOLRitchie, SG},
  author = {Logi, F. and Ritchie, S. G.},
  biburl = {http://www.bibsonomy.org/bibtex/241e89d8cd2f09771724b2fbdc71785f4/atriana},
  c1 = {Tech Univ Munich, Fachgebiet Verkehrstech & Verkehrsplanung, D-80290 Munich, Germany.EOLEOLUniv Calif Irvine, Inst Transport Studies, Dept Civil & Environm Engn, Irvine, CA 92697 USA.},
  citedreferences = {Logi F, 2001, TRANSPORT RES C-EMER, V9, P433 ; LOGI F, 2001, TRANSPORT RES REC, V1748, P125 ; *TRANSP RES BOARD, 2000, HIGHW CAP MAN ; LOGI F, 1999, THESIS U CALIFORNIA ; DIAKAKI C, 1998, P 5 INT C APPL ADV T, P9 ; DIAKAKI C, 1997, TRANSPORT RES C-EMER, V5, P211 ; RECKER WW, 1997, CALIFORNIA ADV TRANS ; FAMBRO DB, 1997, P 76 ANN M TRANSP RE ; CARVER N, 1996, P 2 INT C MULT SYST, P11 ; SUMNER RL, 1995, P ANN M ITS AM ITS A, V2, P799 ; LEE LK, 1995, P ANN M ITS AM ITS A, V1, P471 ; GRASSO B, 1995, P ANN M ITS AM ITS A, V1, P543 ; CHANG EC, 1995, P ANN M ITS AM ITS A, V1, P589 ; CARVER N, 1994, 9437 U MASS DEP COMP ; POORAN FJ, 1994, IMPLEMENTATION OPERA ; ROSEMAN D, 1994, ITE COMPENDIUM TECHN, V64, P528 ; AKCELIK R, 1994, TRANSPORT RES REC, V1457, P63 ; CONRY SE, 1991, IEEE T SYST MAN CYB, V21, P1462, DOI 10.1109/21.135689 ; LESSER VR, 1991, IEEE T SYST MAN CYB, V21, P1347, DOI 10.1109/21.135681 ; PAPAGEORGIOU M, 1991, TRANSPORT RES REC, V1320, P58 ; LEONARD DR, 1989, CONTRAM STRUCTURE MO ; EULER GW, 1989, ITE COMPENDIUM TECHN, V59, P255 ; VANAERDE M, 1988, TRANSPORT RES A-POL, V22, P435 ; BOND AH, 1988, READINGS DISTRIBUTED ; LESSER VR, 1987, ENCY ARTIFICIAL INTE, V1, P245 ; LESSER VR, 1983, AI MAG, V4, P15 ; DAVIS R, 1982, SIGART NEWSL, V80, P13 ; LESSER VR, 1981, IEEE T SYST MAN CYB, V11, P81 ; LESSER VR, 1980, IEEE T COMPUT, V29, P1144 ; KOBLE HM, 1980, FHWARD80005 ; DANS GC, 1976, TRANSPORT SCI, V10, P1},
  de = {incident management; decision support; distributed problem solving;EOLEOLfunctionally accurate cooperation; traffic control},
  doi = {10.1016/S0968-090X(02)00033-5},
  ga = {629HE},
  groups = {public},
  interhash = {28b4db558a2e402035fab04f24635a27},
  intrahash = {41e89d8cd2f09771724b2fbdc71785f4},
  j9 = {TRANSPORT RES C-EMER},
  ji = {Transp. Res. Pt. C-Emerg. Technol.},
  journal = {Transportation Research Part C-emerging Technologies},
  keywords = {},
  la = {English},
  month = {#oct#},
  nr = {31},
  number = {5-6},
  pa = {THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND},
  pages = {507--527},
  pg = {21},
  pi = {OXFORD},
  publisher = {Pergamon-elsevier Science Ltd},
  rp = {Logi, F (reprint author), Tech Univ Munich, Fachgebiet Verkehrstech & Verkehrsplanung, Arcisstr 21, D-80290 Munich, Germany},
  sc = {Transportation},
  sn = {0968-090X},
  tc = {18},
  timestamp = {2012-02-14T04:46:47.000+0100},
  title = {A multi-agent architecture for cooperative inter-jurisdictional traffic congestion management},
  username = {atriana},
  ut = {WOS:000180043700010},
  volume = 10,
  wc = {Transportation Science & Technology},
  year = 2002,
  z9 = {20}
}

@article{Hidas2002,
  abstract = {This paper introduces Simulation of Intelligent TRAnsport Systems (SITRAS), a massive multi-agent simulation system in which driver-vehicle objects are modelled as autonomous agents. The simulation outputs can be used for the evaluation of Intelligent Transport Systems applications such as congestion and incident management, public transport priority and dynamic route guidance. The model concepts and specifications, and the first applications of the model in the area of incident modelling in urban arterial networks were described in previous publications. This paper presents the details of the lane changing and merging algorithms developed for the SITRAS model. These models incorporate procedures for 'forced' and 'co-operative' lane changing which are essential for lane changing under congested (and incident-affected) traffic conditions. The paper describes the algorithms and presents simulation examples to demonstrate the effects of the implemented models. The results indicate that,only the forced and cooperative lane changing models can produce realistic flow-speed relationships during congested conditions. (C) 2002 Elsevier Science Ltd. All rights reserved.},
  added-at = {2012-02-14T04:46:46.000+0100},
  af = {Hidas, P},
  author = {Hidas, P.},
  biburl = {http://www.bibsonomy.org/bibtex/2e9cb0e8e1e97ee2e3544dac4464f6c41/atriana},
  c1 = {Univ New S Wales, Sch Civil & Environm Engn, Sydney, NSW 2052, Australia.},
  citedreferences = {HIDAS P, 1998, TRAFFIC ENG CONTROL, V39, P300 ; BIGUS JP, 1998, CONSTRUCTING INTELLI ; BEHBAHANIZADEH K, 1998, 8 WORLD C TRANSP RES ; WAGNER P, 1997, PHYSICA A, V234, P687 ; HIDAS P, 1997, P 3 INT C ITS AUSTR ; TROUTBECK RJ, 1997, P 3 INT S INT TRAFF, P294 ; YANG Q, 1996, TRANSPORT RES C-EMER, V4, P113 ; BARCELO J, 1996, P 3 WORLD C ITS ORL ; BEHBAHANIZADEH K, 1996, P 3 WORLD C ITS ORL ; TOKORO M, 1996, P 6 EUR WORKSH MOD A, P1 ; CHAIBDRAA B, 1996, P 6 EUR WORKSH MOD A, P151 ; YOUSIF S, 1995, TRAFFIC ENG CONTROL, V36, P680 ; HIDAS P, 1995, P 4 INT C COMP URB P, V2, P229 ; *TRANSP RES BOARD, 1994, 209 TRANSP RES BOARD ; FRITZSCHE HT, 1994, TRAFFIC ENG CONTROL, V35, P317 ; HUNT JG, 1994, TRANSPORT RES C-EMER, V2, P231 ; GIPPS PG, 1986, TRANSPORT RES B-METH, V20, P107 ; RASMUSSEN J, 1986, INFORMATION PROCESSI ; BURRELL JE, 1968, P 4 INT S THEOR TRAF, P210},
  de = {microscopic traffic simulation; lane changing; merging; multi-agentEOLEOLsystems},
  doi = {10.1016/S0968-090X(02)00026-8},
  ga = {629HE},
  groups = {public},
  interhash = {0a2dad6879298512d657d4361429896e},
  intrahash = {e9cb0e8e1e97ee2e3544dac4464f6c41},
  j9 = {TRANSPORT RES C-EMER},
  ji = {Transp. Res. Pt. C-Emerg. Technol.},
  journal = {Transportation Research Part C-emerging Technologies},
  keywords = {},
  la = {English},
  month = {#oct#},
  nr = {19},
  number = {5-6},
  pa = {THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND},
  pages = {351--371},
  pg = {21},
  pi = {OXFORD},
  publisher = {Pergamon-elsevier Science Ltd},
  rp = {Hidas, P (reprint author), Univ New S Wales, Sch Civil & Environm Engn, Sydney, NSW 2052, Australia},
  sc = {Transportation},
  sn = {0968-090X},
  tc = {41},
  timestamp = {2012-02-14T04:46:46.000+0100},
  title = {Modelling lane changing and merging in microscopic traffic simulation},
  username = {atriana},
  ut = {WOS:000180043700003},
  volume = 10,
  wc = {Transportation Science & Technology},
  year = 2002,
  z9 = {51}
}

@article{Hidas2005,
  abstract = {This paper presents data, collected from video-recording, on the microscopic details of merging and weaving manoeuvres under congested traffic conditions. Based on these observations, a classification of the manoeuvres into free, forced and cooperative lane changes is proposed. A new lane change model is developed, incorporating explicit modelling of vehicle interactions using intelligent agent concepts. The model was implemented in the ARTEMiS traffic simulator, and several hypothetical test studies were conducted to demonstrate the capabilities of the new model. The results show that the model is able to reproduce the observed behaviour of individual vehicles in terms of speed, gap acceptance and conflict-resolution in all three types of lane change manoeuvres, and hence, it is able to simulate highly congested flow conditions in a realistic manner. The macroscopic results in terms of speed-flow relationship are close to the typical expected results. The model can simulate both freeways and signalised urban arterial networks. (C) 2005 Elsevier Ltd. All rights reserved.},
  added-at = {2012-02-14T04:46:45.000+0100},
  af = {Hidas, P},
  author = {Hidas, P.},
  biburl = {http://www.bibsonomy.org/bibtex/2413bf3471c53376139ec5221c4ca1cf6/atriana},
  c1 = {Univ New S Wales, Sch Civil & Environm Engn, Sydney, NSW 2052, Australia.},
  citedreferences = {Hidas P, 2002, TRANSPORT RES C-EMER, V10, P351 ; KITA H, 2002, TRANSPORTATION TRAFF, P503 ; *TSS, 2002, AIMSUN VERS 4 1 US M ; WEISS G, 1999, MULTIAGENT SYSTEMS ; KITA H, 1999, TRANSPORTATION TRAFF ; PREVEDOUROS PD, 1999, TRANSPORTATION RES R, V1678 ; HIDAS P, 1999, TRANSPORTATION TRAFF, P53 ; HIDAS P, 1998, TRAFFIC ENG CONTROL, V39, P300 ; SKABARDONIS A, 1998, TRANSP RES BOARD 77 ; HIDAS P, 1998, P 5 WORLD C INT TRAN ; BEHBAHANIZADEH K, 1998, 8 WORLD C TRANSP RES ; KITA H, 1998, TRANSPORT RES A-POL, V33, P305 ; HIDAS P, 1997, P 3 INT C ITS AUSTR ; YANG Q, 1996, TRANSPORT RES C-EMER, V4, P113 ; BARCELO J, 1996, P 3 WORLD C ITS ORL ; BEHBABANIZADEH K, 1996, P 3 WORLD C ITS ORL ; DUNCAN GI, 1995, 28 ISATA C STUTTG GE ; HIDAS P, 1995, P 4 INT C COMP URB P, V2, P229 ; *TRANSP RES BOARD, 1994, 209 TRANSP RES BOARD},
  de = {micro-simulation; lane changing; merging; agents},
  doi = {10.1016/j.trc.2004.12.003},
  em = {p.hidas@unsw.edu.au},
  ga = {898YS},
  groups = {public},
  interhash = {9ccd4d902ca112189fdb0eb5ef57d8a3},
  intrahash = {413bf3471c53376139ec5221c4ca1cf6},
  j9 = {TRANSPORT RES C-EMER},
  ji = {Transp. Res. Pt. C-Emerg. Technol.},
  journal = {Transportation Research Part C-emerging Technologies},
  keywords = {},
  la = {English},
  month = {#feb#},
  nr = {19},
  number = 1,
  pa = {THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND},
  pages = {37--62},
  pg = {26},
  pi = {OXFORD},
  publisher = {Pergamon-elsevier Science Ltd},
  rp = {Hidas, P (reprint author), Univ New S Wales, Sch Civil & Environm Engn, Sydney, NSW 2052, Australia},
  sc = {Transportation},
  sn = {0968-090X},
  tc = {46},
  timestamp = {2012-02-14T04:46:45.000+0100},
  title = {Modelling vehicle interactions in microscopic simulation of merging and weaving},
  username = {atriana},
  ut = {WOS:000227112700003},
  volume = 13,
  wc = {Transportation Science & Technology},
  year = 2005,
  z9 = {51}
}

@article{Hernandez2002,
  abstract = {This paper reports our experiences with agent-based architectures for intelligent traffic management systems. We describe and compare integrated TRYS and TRYS autonomous agents, two multiagent systems that perform decision support for real-time traffic management in the urban motorway network around Barcelona. Both systems draw upon traffic management agents that use similar knowledge-based reasoning techniques in order to deal with local traffic problems. Still, the former achieves agent coordination based on a traditional centralized mechanism, while in the latter coordination emerges upon the lateral interaction of autonomous traffic management agents. We evaluate the potentials and drawbacks of both multiagent architectures for the domain, and develop some conclusions respecting the general applicability of multiagent architectures for intelligent traffic management. (C) 2002 Elsevier Science Ltd. All rights reserved.},
  added-at = {2012-02-14T04:46:44.000+0100},
  af = {Hernandez, JZEOLEOLOssowski, SEOLEOLGarcia-Serrano, A},
  author = {Hernandez, J. Z. and Ossowski, S. and Garcia-Serrano, A.},
  biburl = {http://www.bibsonomy.org/bibtex/2d8ed3355ea663b956cd83c2dae7c7a0d/atriana},
  c1 = {Tech Univ Madrid, Dept Artificial Intelligence, Boadilla del Monte 28660, Spain.EOLEOLUniv Rey Juan Carlos, ESCET, Artificial Intelligence Grp, Madrid, Spain.},
  citedreferences = {WEISS G, 1999, MULTIAGENT SYSTEMS M ; KIRSCHFINK H, 1999, 11 EURO MIN C ART IN ; OSSOWSKI S, 1999, LNAI, V1535 ; OSSOWSKI S, 1999, INTELLIGENT AGENS, V5, P133 ; GUTTMAN RH, 1998, KNOWL ENG REV, V13, P147 ; JENNINGS NR, 1998, AGENT TECHNOLOGY FDN ; OSSOWSKI S, 1998, P IB C ART INT IBERA ; HUHNS MN, 1998, READING AGENTS ; BARCELO J, 1998, P 10 EUR SIM S, P362 ; HERNANDEZ JZ, 1998, P 15 INT FED INF PRO, P400 ; CUENA J, 1998, P 5 INT C APPL ADV T, P67 ; BOERO M, 1997, P 4 WORLD C INT TRAN ; BEHRENDT, 1997, P 4 WORLD C INT TRAN ; CUENA J, 1997, KNOWLEDGE BASED SYST ; FISCHER K, 1996, APPL ARTIF INTELL, V10, P1 ; CUENA J, 1996, EUR C ART INT ECAI 9, P308 ; CUENA J, 1996, P 14 IFIP WORLD C, P173 ; CUENA J, 1995, TRANSPORT RES C-EMER, V3, P311 ; *KITS, 1995, KNOWL BAS INT TRAFF ; MOLINA M, 1995, INT C APPL ADV TECHN ; STEFIK M, 1995, KNOWLEDGE SYSTEMS ; YOKOO M, 1995, LECT NOTES ARTIF INT, V976, P88 ; EPHRATI E, 1995, P 14 INT JOINT C ART, P679 ; AUMAN R, 1994, HDB GAME THEORY, V2 ; BIELLI M, 1994, ARTIFICIAL INTELLIGE ; BOLELLI, 1994, P 1 WORLD C APPL TRA, P18 ; GARTNER, 1994, 1 WORLD C APPL TRANS, P423 ; CORRERA J, 1994, P INT C EL DISTR ; JENNINGS NR, 1994, COOPERATION IND MULT ; THOMSON W, 1994, AUMAN HART, P1238 ; CUENA J, 1994, WORLD C APPL TRANSP, P564 ; SCEMAMA G, 1994, ARTIF INTELL, P137 ; RITCHIE SG, 1993, P 5 INT C COMP CIV E ; DEETER R, 1993, P 3 INT C APPL ADV T ; VONMARTIAL F, 1992, LNAI, V610 ; CUENA J, 1992, INT C APPL ART INT T, P153 ; RITCHIE SG, 1990, TRANSPORT RES REC, V1320, P7 ; BRETT C, 1990, TOPICS PLANT PHYSL, V2, P4 ; MAURO V, 1989, IFAC IFIP IFORS C CO ; BOND AH, 1988, READINGS DISTRIBUTED ; STEEB R, 1988, ARCHITECTURES DISTRI ; FORASTE S, 1986, IEEE 2 INT C ROAD TR ; HENRY JJ, 1983, P 4 IFAC IFORS C CON ; GARTNER NH, 1983, TRANSPORTATION RES R, V906 ; LOWRIE, 1982, IEE INT C ROAD SIGN ; HUNT, 1981, 1014 LR TRRL},
  de = {intelligent traffic management systems; multiagent systems; coordinationEOLEOLmechanisms; knowledge-based architectures; real-time decision support},
  description = {Presenta las arquitecturas multiagentes, para transporte inteligente. ?Existen otros enfoques arquitectonicos?},
  doi = {10.1016/S0968-090X(02)00032-3},
  ga = {629HE},
  groups = {public},
  interhash = {7f528ea128dfb91b56a4d4b7eb72532c},
  intrahash = {d8ed3355ea663b956cd83c2dae7c7a0d},
  j9 = {TRANSPORT RES C-EMER},
  ji = {Transp. Res. Pt. C-Emerg. Technol.},
  journal = {Transportation Research Part C-emerging Technologies},
  keywords = {},
  la = {English},
  month = {#oct#},
  nr = {46},
  number = {5-6},
  pa = {THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND},
  pages = {473--506},
  pg = {34},
  pi = {OXFORD},
  publisher = {Pergamon-elsevier Science Ltd},
  rp = {Hernandez, JZ (reprint author), Tech Univ Madrid, Dept Artificial Intelligence, Campus Montegancedo S-N, Boadilla del Monte 28660, Spain},
  sc = {Transportation},
  sn = {0968-090X},
  tc = {41},
  timestamp = {2012-02-14T04:46:44.000+0100},
  title = {Multiagent architectures for intelligent traffic management systems},
  username = {atriana},
  ut = {WOS:000180043700009},
  volume = 10,
  wc = {Transportation Science & Technology},
  year = 2002,
  z9 = {43}
}

@article{Felici2006,
  abstract = {In this paper we describe an effective approach to design, implement, and operate a traffic control system based on logic programming. With this approach it is possible to implement very flexible control strategies that can be easily developed by traffic engineers using a simple description language. An important feature of the system is the use of a very efficient logic programming solver, the Leibniz System, which is capable of generating fast solution algorithms for the decision problems associated with traffic signal setting. A micro-simulator has been developed to verify the effectiveness of the method. It is a crucial tool of an integrated development system, that allows one to develop control strategies and to test them before their on-field implementation. An application to a real case is described and experimental results are presented. (c) 2006 Published by Elsevier Ltd.},
  added-at = {2012-02-14T04:46:42.000+0100},
  af = {Felici, GiovanniEOLEOLRinaldi, GiovanniEOLEOLSforza, AntonioEOLEOLTruemper, Klaus},
  author = {Felici, G. and Rinaldi, G. and Sforza, A. and Truemper, K.},
  biburl = {http://www.bibsonomy.org/bibtex/2e9f2e376f95dda182e66bf8b9476b9a2/atriana},
  c1 = {CNR, Ist Anal Sistemi & Informat, I-00185 Rome, Italy.EOLEOLUniv Naples Federico II, Dipartimento Informat & Sistemist, I-80125 Naples, Italy.EOLEOLUniv Texas, Dept Comp Sci, Richardson, TX 75083 USA.},
  citedreferences = {FELICI G, 2000, RIC OP 94 95 FRANC A, P39 ; BRETHERTON RD, 1996, TRANSP RES REC, V1554 ; FELICI G, 1996, P 13 INT C AUT DED N, P216 ; YAGAR S, 1996, TRANSPORT RES REC, V1554, P1 ; SKABARDONIS A, 1996, TRANSPORT RES REC, V1554, P18 ; TRUEMPER K, 1995, EFFECTIVE LOGIC COMP ; FELICI G, 1995, P 4 INT C ADV TECHN, P573 ; HEAD KL, 1992, TRANSPORT RES REC, V1360, P82 ; CANTARELLA GE, 1991, TRANSPORT RES A-GEN, V25, P241 ; CANTARELLA GE, 1991, CONCISE ENCY TRAFFIC ; SMITH MJ, 1987, INTERACTIONS SIGNAL ; SMITH MJ, 1987, TRAFFIC CONTROL TRAF ; CHEN H, 1987, TRANSPORTATION TRAFF ; CHIN SM, 1987, TRANSPORTATION TRAFF ; HISAI M, 1987, TRANSPORTATION TRAFF ; MOLLER K, 1987, TRANSPORTATION TRAFF ; HEYDECKER BG, 1987, TRANSPORTATION TRAFF ; ROBERTSON DI, 1986, ITE J, V56, P36 ; LUK JYK, 1984, TRAFFIC ENG CONTROL, V30, P14 ; GARTNER NH, 1983, TRANSPORT RES REC, V906, P75 ; HUNT PB, 1981, 1014 LR TRANSP RAOD ; GAREY MR, 1979, COMPUTERS INTRACTABI ; MAURO V, 1909, P 6 IFAC IFIP IFORS},
  de = {intelligent traffic control; logic programming; traffic micro-simulation},
  doi = {10.1016/j.trc.2006.05.007},
  em = {felici@iasi.cnr.itEOLEOLrinaldi@iasi.cnr.itEOLEOLsforza@unina.itEOLEOLtruemper@utdallas.edu},
  ga = {095OG},
  groups = {public},
  interhash = {70db36d146befebad9fb05ac2ceb6c53},
  intrahash = {e9f2e376f95dda182e66bf8b9476b9a2},
  j9 = {TRANSPORT RES C-EMER},
  ji = {Transp. Res. Pt. C-Emerg. Technol.},
  journal = {Transportation Research Part C-emerging Technologies},
  keywords = {},
  la = {English},
  month = {#jun#},
  nr = {23},
  number = 3,
  pa = {THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND},
  pages = {175--189},
  pg = {15},
  pi = {OXFORD},
  publisher = {Pergamon-elsevier Science Ltd},
  rp = {Felici, G (reprint author), CNR, Ist Anal Sistemi & Informat, Viale Manzoni 30, I-00185 Rome, Italy},
  sc = {Transportation},
  sn = {0968-090X},
  tc = {1},
  timestamp = {2012-02-14T04:46:42.000+0100},
  title = {A logic programming based approach for on-line traffic control},
  username = {atriana},
  ut = {WOS:000241316600002},
  volume = 14,
  wc = {Transportation Science & Technology},
  year = 2006,
  z9 = {1}
}

@article{Bazzan2005,
  added-at = {2012-02-14T04:46:38.000+0100},
  af = {Bazzan, ALCEOLEOLKlugl, FEOLEOLOssowski, S},
  author = {Bazzan, A. L. C. and Klugl, F. and Ossowski, S.},
  biburl = {http://www.bibsonomy.org/bibtex/2a7e884f13a92491061e162a33c6a8bef/atriana},
  c1 = {UFRGS, Inst Informat, BR-91501970 Porto Alegre, RS, Brazil.EOLEOLUniv Wurzburg, Dept Artificial Intelligence, D-97074 Wurzburg, Germany.},
  citedreferences = {Schleiffer R, 2002, TRANSPORT RES C-EMER, V10, P325 ; WOOLDRIDGE MJ, 2002, INTRO MULTIAGENT SYS},
  doi = {10.1016/j.trc.2005.07.001},
  em = {bazzan@inf.ufrgs.brEOLEOLkluegl@informatik.uni-wuerzburg.deEOLEOLsascha.ossowski@urjc.es},
  ga = {972HQ},
  groups = {public},
  interhash = {52eb4d95acf8208698e1b29305fe25b6},
  intrahash = {a7e884f13a92491061e162a33c6a8bef},
  j9 = {TRANSPORT RES C-EMER},
  ji = {Transp. Res. Pt. C-Emerg. Technol.},
  journal = {Transportation Research Part C-emerging Technologies},
  keywords = {},
  la = {English},
  month = {#aug#},
  nr = {2},
  number = 4,
  pa = {THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND},
  pages = {251--254},
  pg = {4},
  pi = {OXFORD},
  publisher = {Pergamon-elsevier Science Ltd},
  rp = {Bazzan, ALC (reprint author), UFRGS, Inst Informat, Caixa Postal 15064, BR-91501970 Porto Alegre, RS, Brazil},
  sc = {Transportation},
  sn = {0968-090X},
  tc = {5},
  timestamp = {2012-02-14T04:46:38.000+0100},
  title = {Agents in traffic and transportation: Exploring autonomy in logistics, management, simulation, and cooperative driving},
  username = {atriana},
  ut = {WOS:000232445300001},
  volume = 13,
  wc = {Transportation Science & Technology},
  year = 2005,
  z9 = {6}
}

@article{Moore2005,
  abstract = {This article provides a technical evaluation of the traffic control element of the Anaheim Advanced Traffic Control System Field Operations Test (FOT), sponsored by the US Department of Transportation. The primary objective for this test was the evaluation of adaptive traffic signal control technologies, including the Split Cycle and Offset Optimization Technique (SCOOT) for intersection signal control. The SCOOT evaluation was defined relative to existing, first generation Urban Traffic Control System (UTCS)-based control using standard US field detectorization. This US geometry is not the detector configuration normally used with SCOOT. SCOOT was implemented with some degree of success, though technical problems limited its performance. Anaheim's existing communication and controller systems contributed major deployment limitations since they were less adequate than anticipated. SCOOT remains in use in selected areas, with plans for system expansion.},
  added-at = {2012-02-14T04:46:33.000+0100},
  af = {Moore, JEEOLEOLMattingly, SPEOLEOLMacCarley, CAEOLEOLMcNally, MG},
  author = {Moore, J. E. and Mattingly, S. P. and MacCarley, C. A. and McNally, M. G.},
  biburl = {http://www.bibsonomy.org/bibtex/2723cecd2dfc0c4ea7b1df93bfaace5a0/atriana},
  c1 = {Univ So Calif, Andrew & Erna Viterbi Sch Engn, Daniel J Epstein Dept Ind & Syst Engn, Los Angeles, CA 90089 USA.EOLEOLUniv So Calif, Sch Policy Planning & Dev, Los Angeles, CA 90089 USA.EOLEOLUniv Texas, Dept Civil & Environm Engn, Arlington, TX 76019 USA.EOLEOLCalif Polytech State Univ, Dept Elect Engn, San Luis Obispo, CA USA.EOLEOLUniv Calif Irvine, Henry Samueli Sch Engn, Dept Civil & Environm Engn, Irvine, CA 92697 USA.EOLEOLUniv Calif Irvine, Inst Transportat Studies, Irvine, CA 92697 USA.},
  citedreferences = {MCNALLY MG, 1999, UCBITSPRR9927 PATH ; MCNALLY MG, 1999, TRANSPORT RES REC, V1683, P67 ; *SIEM TRAFF CONTR, 1996, SCOOT US GUID ; MARTIN PT, 1995, ITE J, V65, P44 ; *CALTR, 1993, PROP ADV TRAFF CONTR ; MARTIN P, 1992, THESIS U NOTTINGHAM ; GILLAM WJ, 1990, J I HIGHWAYS TRANSPO, V37, P23 ; HUNT PB, 1981, LR1014 TRRL ; MOORE JE, UCBITSPRR9926 PATH ; *SIEM TRAFF CONTR, SCOOT OP HDB VAX VMS},
  de = {traffic management; traffic control; ATMS; computer-aided operations;EOLEOLSCOOT; evaluation},
  doi = {10.1080/03081060500515622},
  em = {jmoore@usc.edu},
  ga = {029HD},
  groups = {public},
  interhash = {b3b6188b2685069b3e9c3cca78e70518},
  intrahash = {723cecd2dfc0c4ea7b1df93bfaace5a0},
  j9 = {TRANSPORT PLAN TECHN},
  ji = {Transp. Plan. Technol.},
  journal = {Transportation Planning and Technology},
  keywords = {},
  la = {English},
  month = {#dec#},
  nr = {10},
  number = 6,
  pa = {4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND},
  pages = {465--482},
  pg = {18},
  pi = {ABINGDON},
  publisher = {Taylor \& Francis Ltd},
  rp = {Moore, JE (reprint author), Univ So Calif, Andrew & Erna Viterbi Sch Engn, Daniel J Epstein Dept Ind & Syst Engn, Ethel Percy Andrus Ctr 204b,MC-0193, Los Angeles, CA 90089 USA},
  sc = {Transportation},
  sn = {0308-1060},
  tc = {0},
  timestamp = {2012-02-14T04:46:33.000+0100},
  title = {Anaheim advanced traffic control system field operations test: A technical evaluation of SCOOT},
  username = {atriana},
  ut = {WOS:000236551600004},
  volume = 28,
  wc = {Transportation Science & Technology},
  year = 2005,
  z9 = {0}
}

@article{Hounsell2002,
  abstract = {Applications of information technology are expanding rapidly across all modes of transport, under the general heading of intelligent transport systems (ITS). For bus-based public transport, a cluster of applications has been developed that can help improve the efficiency and performance of buses on the street, thus helping to provide a real transport alternative to the private car. An initial summary of a range of such ITS examples in Europe is provided, including automatic vehicle location (AVL), bus priority in traffic control systems, automatic ticketing systems, automatic camera enforcement systems, and variable message signs. Then the focus shifts to one area where activity is most pronounced-the implementation of AVL systems and their integration with urban traffic control (UTC) systems. A review of typical AVL/UTC systems operational in Europe is then presented through the identification of some eight alternative architectures and associated system characteristics, such as the technologies used and the location of bus priority "intelligence." This is followed by a summary of examples from cities in Europe that have implemented these architectures, together with typical results illustrating the effectiveness of these systems. The diversity of architectures, technologies, and systems is recognized as beneficial in providing customer choice, but can generate a significant difficulty for decision makers in local authorities wishing to invest in public transport ITS technologies. A concluding discussion lists some of the key issues involved in this investment process.},
  added-at = {2012-02-14T04:46:30.000+0100},
  af = {Hounsell, NEOLEOLWall, G},
  author = {Hounsell, N. and Wall, G.},
  biburl = {http://www.bibsonomy.org/bibtex/2a37ea6cab2a5eb10e9f142aaf5041fb7/atriana},
  bn = {0-309-07717-6},
  c1 = {Univ Southampton, Dept Civil & Environm Engn, Transportat Res Grp, Southampton SO17 1BJ, Hants, England.},
  citedreferences = {*U SOUTH, 2001, BUS PRIOR STRAT IMP ; HAFTER G, 2001, PUBLIC TRANSPORT FEB ; *DEP ENV TRANSP RE, 2000, TRAFF ADV LEAFL 8 00 ; HOUNSELL NB, 1999, 6 WORLD C INT TRANSP ; *DEP ENV TRANSP RE, 1999, WORKH THOR BETT ROL ; JELLISON MJ, 1998, ANN REV, P247 ; NOR M, 1998, TRAFFIC TECHNOLO AUG, P81 ; HOUNSELL NB, 1996, 3 WORLD C INT TRANSP ; TURNER D, 1996, 24 EUR TRANSP FOR SE ; LAURENS B, 1994, P 1 WORLD C APPL TRA ; NELSON JD, 1993, TRAFFIC ENG CONTROL, P426 ; GARTNER NH, 1991, CONCISE ENCY TRAFFIC},
  cl = {WASHINGTON, D.C.},
  ct = {81st Annual Meeting of the Transportation-Research-Board},
  cy = {JAN , 2002},
  ga = {BV98B},
  gp = {TRB},
  groups = {public},
  interhash = {388a6589dfeae54d0b9db8d7528a06a3},
  intrahash = {a37ea6cab2a5eb10e9f142aaf5041fb7},
  j9 = {TRANSPORT RES REC},
  journal = {Transit: Buses, Paratransit, Rural Public Buses, and Intercity Transit; New Transportation Systems and Technology: Capacity and Quality of Service: Public Transit},
  keywords = {},
  la = {English},
  nr = {12},
  number = 1791,
  p2 = {19},
  pa = {500 FIFTH ST, NW, WASHINGTON, DC 20001 USA},
  pages = {85--91},
  pg = {7},
  pi = {WASHINGTON},
  publisher = {Transportation Research Board Natl Research Council},
  rp = {Hounsell, N (reprint author), Univ Southampton, Dept Civil & Environm Engn, Transportat Res Grp, Highfield, Southampton SO17 1BJ, Hants, England},
  sc = {Engineering; Transportation},
  se = {TRANSPORTATION RESEARCH RECORD},
  sn = {0361-1981},
  tc = {0},
  timestamp = {2012-02-14T04:46:30.000+0100},
  title = {New intelligent transport systems applications in Europe to improve bus services},
  username = {atriana},
  ut = {WOS:000180585800013},
  wc = {Engineering, Civil; Transportation; Transportation Science & Technology},
  year = 2002,
  z9 = {0}
}

@conference{Gangadhar2010,
  abstract = {This paper reveals the use of a microcontroller to optimize timing plans according to traffic conditions in realtime. The control system is designed to be able to optimize the traffic flow using several kinds of strategies, which are green time split and time slot, green time extension, and offset optimization strategy and the transfer of data related to local conditions to a network control base. This provides diversity in control and shows how several control strategies can be used and switched over to provide best control. The solution is cost-effective too employing minimum number of sensors. Ā© 2010 IEEE.},
  added-at = {2012-02-14T04:46:29.000+0100},
  affiliation = {Instrumentation Technology, R N Shetty Institute of Technology, Bangalore, India},
  art_number = {5469286},
  author = {Gangadhar, S.},
  author_keywords = {Intelligent Traffic Control System (ITCS); Microcontroller; Network base; Timing Matrix},
  biburl = {http://www.bibsonomy.org/bibtex/2a919e76839085171d6234c89cca5a5c4/atriana},
  document_type = {Conference Paper},
  groups = {public},
  interhash = {106d693754089313e643d5d4028d0b27},
  intrahash = {a919e76839085171d6234c89cca5a5c4},
  journal = {TechSym 2010 - Proceedings of the 2010 IEEE Students' Technology Symposium},
  keywords = {},
  note = {cited By (since 1996) 0},
  pages = {115-119},
  references = {Bilal, J.M., Jacob, D., Intelligent Traffic Control System IEEE International Conference on Signal Processing and Communications (ICSPC 2007), 24-27 November 2007, Dubai, United Arab Emirates; Promises dot the road ahea (2009) The Times of India, , 29 July; http://www.calccit.org/itsdecision/serv_and_tech/Traffic_signal_control/ traffsigrep_print.htmVrancken, J.L.M., Krse, O.C., (2006) Intelligent Control in Networks: The Case of Road Traffic Management, , IEEE; Siyal, M.Y., Choudhary, B.S., Rajput, A.K., An Image Processing Based Approach for Real- Time Road Traffic Application (2005) IEEE Xplore, , May 30; (2007) Traffic Control Systems, , PHYSorg.com. 15 November; Purnomo, M.R., Wahab, D.A., Hassan, A., Rahmat, R.A., Development of a Low Cost Smart Traffic Controller System (2009) European Journal of Scientific Research, 32 (4), pp. 490-499. , ISSN 1450-216X; http://www.irdinc.com/products/pdf/Sensors0605.pdfhttp://www.irdinc.com/products/pdf/RoadRAMPtubes.pdfhttp://www.iop.org/EJ/abstract/1742-5468/2008/04/P04019Tsugawa, S., Inter-Vehicle Communications and Their Applications to Intelligent Vehicles: An Overview, pp. 305-8564. , ITS Research Group, National Institute of Advanced Industrial Science and Technology (AIST) Namiki 1-2-1 Tsukuba East, Tsukuba-shi, Ibaraki-ken, Japan; Papageorgiou, M., Diakaki, C., Dinopoulou, V., Kotsialos, A., Wang, Y., Review of Road Traffic Control Strategies (2003) Proceedings of IEEE, 91 (12). , December; Pattara-atikom, W., Pongpaibool, P., Thajchayapong, S., Estimating road traffic congestion using vehicle velocity International Conference on ITS Telecommunications, 2006; Thajchayapong, S., Pattara-atikom, W., Chadil, N., Mitrpant, C., Nhanced detection of road traffic congestion areas using cell dwell times IEEE Conference on Intelligent Transportation Systems, 2006; 3GPP, TS 03.40: Technical Realization of the Short Message Service (SMS); Jiang, G., Wang, J., Zhang, X., The study on the application of fuzzy clustering analysis in the dynamic identification of road traffic state (2003) IEEE: Intelligent Transportation Systems Proceedings, 2003, Shanghai, China, 1, pp. 408-411. , October; Tung, W.L., Quek, C., GenSo-FDSS: A neural-fuzzy decision support system for pediatric ALL cancer subtype identification using gene expression data (2005) Artif. Intell. Med., 33 (1), pp. 61-88. , Jan; Song, S., Hwang, K., Risk-resilient heuristics and genetic algorithms for security-assured grid job scheduling (2007) IEEE Transaction on Computers},
  source = {Scopus},
  timestamp = {2012-02-14T04:46:29.000+0100},
  title = {An intelligent road traffic control system},
  url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77953884984&partnerID=40&md5=90d103b657a38e0064cc318a06bd33ad},
  username = {atriana},
  year = 2010
}

@article{Lee2004,
  abstract = {This article presents a hierarchical and modular traffic simulation environment for intelligent transportation systems (ITS). A conventional traffic simulation model is classified as microscopic or macroscopic; however, abstraction-level, vehicle-level, cell-level, road-level, and street-level traffic models can be coherently integrated and developed. Such an abstraction process is important for flexible traffic analysis since it reduces the complexity of a model, retaining its validity relative to the modeling objectives and experimental condition. To do this, the authors have proposed the four-layered approach: (1) system entity structure/model base, (2) model abstraction, (3) traffic modeling, and (4) ITS simulation systems layer. A proposed methodology has been successfully applied for building the advanced traveler information system and the advanced traffic management system. The abstraction method of a road network in traffic modeling and simulation will be widely used because it is possible to express and analyze various requirements of the traffic analyst hierarchically and structurally.},
  added-at = {2012-02-14T04:46:26.000+0100},
  af = {Lee, JKEOLEOLLim, YHEOLEOLChi, SD},
  author = {Lee, J. K. and Lim, Y. H. and Chi, S. D.},
  biburl = {http://www.bibsonomy.org/bibtex/25fe603b262f845df2f347836698903a4/atriana},
  c1 = {Hangkong Univ, Intelligent Syst Res Lab, Dept Comp Engn, Seoul 411791, South Korea.},
  citedreferences = {LEE JK, 2003, 2003 SUMM COMP SIM C ; DAVID S, 2001, APPL MICROSCOPIC SIM ; YOON DY, 2001, 2001 AUT C KOR SOC T ; CHI SD, 2001, DISCRETE EVENT MODEL, P215 ; ZEIGLER BP, 2000, THEORY MODELING SIMU ; ABDULHAI B, 1999, UCBITSPRR9912 CAL PA ; CHO HJ, 1999, THESIS U ARIZONA TUC ; *FED HIGHW ADM, 1998, TRAFF SOFTW INT SYST ; YANG Q, 1997, THESIS MIT CAMBRIDGE ; ZEIGLER BP, 1997, ENABLING TECHNOLOGY ; *PAR TRAFF SIM LTD, 1997, PAR 1 5 MAN ; ESKAFI F, 1997, T COMPUTER SIMULATIO, V14, P169 ; *MIT, 1996, DEV DEPL REAL TIM DY ; DESHPANDE AR, 1996, SHIFT REFERENCE MANU ; CHI SD, 1996, 4 AIS C SOC COMP SIM, P37 ; GILMORE JF, 1995, ANN M 5 IVHS AM WASH ; BARCELO J, 1995, SIMULATION STUDY ARE ; *FED HIGHW ADM, 1994, FRESIM US GUID ; MAHMASSANI HS, 1994, DTFH6190R0074FG US D ; BENAKITA ME, 1994, P 1 C APPL TRANSP TE ; SIMONSSON SO, 1993, P IEEE IEE VEH NAV I, P150, DOI 10.1109/VNIS.1993.585605 ; NIEDRINGHAUS WP, 1993, P IEEE IEE VEH NAV I, P157, DOI 10.1109/VNIS.1993.585607 ; TRITTER DB, 1993, P IEEE IEE VEH NAV S, P182, DOI 10.1109/VNIS.1993.585611 ; NELSON JR, 1993, P IEEE IEE VEH NAV S, P67, DOI 10.1109/VNIS.1993.585587 ; SARGENT R, 1993, P WINT SIM C LOS ANG, P569 ; LUH CJ, 1993, IEEE T SYST MAN CYB, V23, P42, DOI 10.1109/21.214766 ; HAN LD, 1992, THESIS U CALIFORNIA ; ZEIGLER BP, 1990, OBJECT ORIENTED SIMU ; ZEIGLER BP, 1989, P IEEE, V77, P72, DOI 10.1109/5.21071 ; SILBLEY SW, 1985, PUBLIC ROADS, V49, P54 ; ZEIGLER BP, 1984, MULTIFACETTED MODELI ; ZEIGLER BP, 1984, OBJECT ORIENTED SIMU ; IJIRI Y, 1971, J AM STAT ASSOC, V66, P766},
  de = {DEVS formalism; SES/MB; traffic simulation; model abstraction method;EOLEOLATIS : the next generation; (ID2)-D-3 transportation simulation system},
  doi = {10.1177/0037549704042860},
  em = {leejk@mail.hangkong.ac.kr},
  ga = {817IX},
  groups = {public},
  interhash = {ae39e2ec415e4ca18a7a4324897aec97},
  intrahash = {5fe603b262f845df2f347836698903a4},
  j9 = {SIMUL-T SOC MOD SIM},
  ji = {Simul.-Trans. Soc. Model. Simul. Int.},
  journal = {Simulation-transactions of the Society For Modeling and Simulation International},
  keywords = {},
  la = {English},
  month = {#feb#},
  nr = {33},
  number = 2,
  pa = {1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND},
  pages = {61--76},
  pg = {16},
  pi = {LONDON},
  publisher = {Sage Publications Ltd},
  rp = {Lee, JK (reprint author), Hangkong Univ, Intelligent Syst Res Lab, Dept Comp Engn, Hwajeon Dong 200-1, Seoul 411791, South Korea},
  sc = {Computer Science},
  sn = {0037-5497},
  tc = {8},
  timestamp = {2012-02-14T04:46:26.000+0100},
  title = {Hierarchical modeling and simulation environment for intelligent transportation systems},
  username = {atriana},
  ut = {WOS:000221172300001},
  volume = 80,
  wc = {Computer Science, Interdisciplinary Applications; Computer Science,EOLEOLSoftware Engineering},
  year = 2004,
  z9 = {8}
}

@article{Camponogara2003,
  abstract = {Automatic learning techniques stand as promising tools to respond to the need of higher efficiency of traffic network, even more so at times of mounting pressure from economic and energy markets. To this end, this paper looks into the operation of a traffic network with distributed, intelligent agents. In particular, it casts the task of operating a traffic network as a distributed, stochastic game in which the agents solve reinforcement-learning problems. Results from computational experiments show that these agents can yield substantial gains with respect to the performance achieved by two other control policies for traffic lights. The paper ends with an outline of future research to deploy machine-learning technology in real-world traffic networks.},
  added-at = {2012-02-14T04:46:24.000+0100},
  af = {Camponogara, EEOLEOLKraus, W},
  author = {Camponogara, E. and Kraus, W.},
  be = {Pires, FMEOLEOLAbreu, S},
  biburl = {http://www.bibsonomy.org/bibtex/25bbb60846616adf220bb929fd1db6c8c/atriana},
  bn = {3-540-20589-6},
  c1 = {Univ Fed Santa Catarina, Dept Automacao & Sistemas, BR-88040970 Florianopolis, SC, Brazil.},
  citedreferences = {GAZIS D, 2002, TRAFFIC THEORY ; BOWLING M, 2002, CMUCS02104 CARNEGIE ; Camponogara E, 2002, LECT NOTES ARTIF INT, V2507, P74 ; BASAR T, 1999, DYNAMIC NONCOOPERATI ; SCHNEIDER J, 1999, P 16 INT C MACH LEAR, P371 ; SUTTON RS, 1998, REINFORCEMENT LEARNI ; KAELBLING LP, 1996, J ARTIF INTELL RES, V4, P237 ; CRABTREE MR, 1996, 28 TRRL ; BERTSEKAS DP, 1995, DYNAMIC PROGRAMMING ; HUNT PB, 1981, SCOOT TRAFFIC RESPON},
  cl = {BEJA, PORTUGAL},
  ct = {11th Portuguese Conference on Artificial Intelligence},
  cy = {DEC 04-07, 2003},
  ga = {BY08M},
  groups = {public},
  interhash = {56eb924ddbfeb6c2aff1d6d4813ef784},
  intrahash = {5bbb60846616adf220bb929fd1db6c8c},
  j9 = {LECT NOTES ARTIF INT},
  journal = {Progress In Artificial Intelligence},
  keywords = {},
  la = {English},
  nr = {10},
  pa = {HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY},
  pages = {324--335},
  pg = {12},
  pi = {BERLIN},
  publisher = {Springer-verlag Berlin},
  rp = {Camponogara, E (reprint author), Univ Fed Santa Catarina, Dept Automacao & Sistemas, Caixa Postal 476, BR-88040970 Florianopolis, SC, Brazil},
  sc = {Computer Science},
  se = {LECTURE NOTES IN ARTIFICIAL INTELLIGENCE},
  sn = {0302-9743},
  tc = {5},
  timestamp = {2012-02-14T04:46:24.000+0100},
  title = {Distributed learning agents in urban traffic control},
  username = {atriana},
  ut = {WOS:000187551600030},
  volume = 2902,
  wc = {Computer Science, Artificial Intelligence},
  year = 2003,
  z9 = {5}
}