BibSonomyburst/author/R.BibSonomy RSS feed for /author/R.2012-02-15T02:22:47+01:00http://www.bibsonomy.org/bibtex/2f1cc8ed913faff72cc7c68b5e2680eb1/cafo78cafo782012-02-14T22:34:46+01:00electride <span class="authorEditorList"><a href="/author/Dye">James L. Dye</a>, <a href="/author/Yemen">Michael R. Yemen</a>, <a href="/author/DaGue">Michael G. DaGue</a>, and <a href="/author/Lehn">Jean-Marie Lehn</a> </span><em>The Journal of Chemical Physics</em> <em>68(4):1665-1670</em> (<em>1978</em>)Tue Feb 14 22:34:46 CET 2012The Journal of Chemical Physics41665-1670Optical spectra of alkali metal anion and ''electride'' films681978electride Optical spectra of alkali metal anion and ’’electride’’ films | Browse - Journal of Chemical Physicshttp://www.bibsonomy.org/bibtex/2fe44a4a82a0b91b6f1c1bdc3ee9ebdc2/fhrleroyfhrleroy2012-02-14T15:05:39+01:00Heat-Transfer-Solids Heat-Transfer <span class="authorEditorList"><a href="/author/Rao">A. M. Rao</a>, <a href="/author/Richter">E. Richter</a>, <a href="/author/Bandow">Shunji Bandow</a>, <a href="/author/Chase">Bruce Chase</a>, <a href="/author/Eklund">P. C. Eklund</a>, <a href="/author/Williams">K. A. Williams</a>, <a href="/author/Fang">S. Fang</a>, <a href="/author/Subbaswamy">K. R. Subbaswamy</a>, <a href="/author/Menon">M. Menon</a>, <a href="/author/Thess">A. Thess</a>, <a href="/author/Smalley">R. E. Smalley</a>, <a href="/author/Dresselhaus">G. Dresselhaus</a>, and <a href="/author/Dresselhaus">M. S. Dresselhaus</a> </span><em>Science</em> <em>275(5297):187-191</em> (<em>1997</em>)Tue Feb 14 15:05:39 CET 2012Science5297187-191Diameter-Selective Raman Scattering from Vibrational Modes in Carbon Nanotubes2751997Heat-Transfer-Solids Heat-Transfer Single wall carbon nanotubes (SWNTs) that are found as close-packed arrays in crystalline ropes have been studied by using Raman scattering techniques with laser excitation wavelengths in the range from 514.5 to 1320 nanometers. Numerous Raman peaks were observed and identified with vibrational modes of armchair symmetry (n, n) SWNTs. The Raman spectra are in good agreement with lattice dynamics calculations based on C-C force constants used to fit the two-dimensional, experimental phonon dispersion of a single graphene sheet. Calculated intensities from a nonresonant, bond polarizability model optimized for sp2 carbon are also in qualitative agreement with the Raman data, although a resonant Raman scattering process is also taking place. This resonance results from the one-dimensional quantum confinement of the electrons in the nanotube.Diameter-Selective Raman Scattering from Vibrational Modes in Carbon Nanotubeshttp://www.bibsonomy.org/bibtex/2cbe0653c275082962b1e8fb4e055cd93/idesajithidesajith2012-02-14T12:48:37+01:00dmicnu <span class="authorEditorList"><a href="/author/Dr. R. Ramachandran">Ph.D. Dr. R. Ramachandran</a> </span><em>International Journal on Information Technology IJIT</em> <em>1(2):6</em> (<em>September 2011</em>)Tue Feb 14 12:48:37 CET 2012International Journal on Information Technology [IJIT]September26Data Management In Cellular Networks Using Activity Mining 12011dmicnu In the recent technology advances, an increasing number of users are accessing various information systems via wireless communication. The majority users in a mobile environment are moving and accessing wireless services for the activities they are currently unavailable inside. We propose the idea of complex activity for characterizing the continuously changing complex behavior patterns of mobile users. For the purpose of data management, a complex activity is copy as a sequence of location movement, service requests, the coincidence of location and service, or the interleaving of all above. An activity may be composed of sub activities. Different activities may exhibit dependencies that affect user behaviors. We argue that the complex activity concept provides a more specific, rich, and detail description of user behavioral patterns which are very useful for data management in mobile environments. Correct exploration of user activities has the possible of providing much higher quality and personalized services to individual user at the right place on the right time. We, therefore, propose new methods for complex activity mining, incremental maintenance, online detection and proactive data management based on user activities. In particular, we develop pre-fetching and pushing techniques with cost sensitive control to make easy analytical data allocation. First round implementation and simulation results shows that the proposed framework and techniques can significantly increase local availability, conserve execution cost, reduce response time, and improve cache utilization. http://www.bibsonomy.org/bibtex/2d65a59294433ca16e2ea5058f1bdc11d/idesajithidesajith2012-02-14T11:25:22+01:00ofdm <span class="authorEditorList"><a href="/author/C.T Manimegalai1">R Kumar C.T Manimegalai1</a>, and <a href="/author/B">Sumith Babu S B</a> </span><em>International Journal on Electrical and Power Engineering IJEPE,</em> <em>2(2):4</em> (<em>August 2011</em>)Tue Feb 14 11:25:22 CET 2012International Journal on Electrical and Power Engineering [IJEPE],August24Performance analysis of Multiband - OFDM systems using LDPC coder in pulsed - OFDM modulation for UWB communications 22011ofdm In this paper, a combined approach where low density parity check (LDPC) codes are used to reduce the complexity and power consumption of pulsed orthogonal frequency- division multiplexing (pulsed-OFDM) ultra-wideband (UWB) systems is described. The proposed system uses LDPC codes to achieve higher code rates without using convolution encoding and puncturing thereby reducing the complexity and power consumption of pulsed-OFDM system. The LDPC- pulsed-OFDM system achieves channel capacity with different code rates and has good performance in different channel fading scenarios. The pulsed OFDM system is used where pulsed signals could spread the frequency spectrum of the OFDM signal. The performance of LDPC-pulsed-OFDM system for wireless personal area networks (WPAN) is analyzed for different UWB indoor propagation channels (CM3 and CM4) provided by the IEEE 802.15.3a Standard activity committee. To establish this, a design of LDPC-pulsed-OFDM system using the digital video broadcasting-satellite-second generation (DVB-S2) standard and provide the simulation results for the different code rates supported by LDPC codes is presented. http://www.bibsonomy.org/bibtex/2db1001d9df13b38b26973b187983ba09/swalkswalk2012-02-14T10:40:55+01:00ontologies collaborative <span class="authorEditorList"><a href="/author/Porzel">R. Porzel</a>, and <a href="/author/Malaka">R. Malaka</a> </span>(<em>2004</em>)Tue Feb 14 10:40:55 CET 2012 Valencia, Spain Proceedings of the 16th European Conference on Artificial Intelligence A Task-based Approach for Ontology Evaluation 2004ontologies collaborative http://www.bibsonomy.org/bibtex/287d6883ebd98e8810be45d7e7e4ade96/hothohotho2012-02-14T08:29:50+01:00tagging social recommender myown folksonomy collaborative bookmarking 2012 <span class="authorEditorList"><a href="/author/Balby Marinho">L. Balby Marinho</a>, <a href="/author/Hotho">A. Hotho</a>, <a href="/author/Jäschke">R. Jäschke</a>, <a href="/author/Nanopoulos">A. Nanopoulos</a>, <a href="/author/Rendle">S. Rendle</a>, <a href="/author/Schmidt-Thieme">L. Schmidt-Thieme</a>, <a href="/author/Stumme">G. Stumme</a>, and <a href="/author/Symeonidis">P. Symeonidis</a> </span><em>SpringerBriefs in Electrical and Computer Engineering </em><em>Springer, </em>(<em>February 2012</em>)Tue Feb 14 08:29:50 CET 2012febSpringerBriefs in Electrical and Computer EngineeringRecommender Systems for Social Tagging Systems2012tagging social recommender myown folksonomy collaborative bookmarking 2012 Social Tagging Systems are web applications in which users upload resources (e.g., bookmarks, videos, photos, etc.) and annotate it with a list of freely chosen keywords called tags. This is a grassroots approach to organize a site and help users to find the resources they are interested in. Social tagging systems are open and inherently social; features that have been proven to encourage participation. However, with the large popularity of these systems and the increasing amount of user-contributed content, information overload rapidly becomes an issue. Recommender Systems are well known applications for increasing the level of relevant content over the “noise” that continuously grows as more and more content becomes available online. In social tagging systems, however, we face new challenges. While in classic recommender systems the mode of recommendation is basically the resource, in social tagging systems there are three possible modes of recommendation: users, resources, or tags. Therefore suitable methods that properly exploit the different dimensions of social tagging systems data are needed. In this book, we survey the most recent and state-of-the-art work about a whole new generation of recommender systems built to serve social tagging systems. The book is divided into self-contained chapters covering the background material on social tagging systems and recommender systems to the more advanced techniques like the ones based on tensor factorization and graph-based models.http://www.bibsonomy.org/bibtex/265341fbfa1cb18d1df894fd42472199d/atrianaatriana2012-02-14T04:46:59+01:00<span class="authorEditorList"><a href="/author/Katsaros">K. Katsaros</a>, <a href="/author/Kernchen">R. Kernchen</a>, <a href="/author/Dianati">M. Dianati</a>, <a href="/author/Rieck">D. Rieck</a>, and <a href="/author/Zinoviou">C. Zinoviou</a> </span><em>Wireless Communications \&amp; Mobile Computing</em> <em>11(12):1657--1667</em> (<em>December 2011</em>)Tue Feb 14 04:46:59 CET 2012Wireless Communications \& Mobile Computing#dec#121657--1667Application of vehicular communications for improving the efficiency of traffic in urban areas112011This 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.http://www.bibsonomy.org/bibtex/27fec91a94e2e3c06f90169c5fdb170e1/atrianaatriana2012-02-14T04:46:55+01:00<span class="authorEditorList"><a href="/author/Bohm">M. Bohm</a>, <a href="/author/Pfliegl">R. Pfliegl</a>, and <a href="/author/Frotscher">A. Frotscher</a> </span><em>Transportation Research Record</em> (<em>2008</em>)Tue Feb 14 04:46:55 CET 2012Transportation Research Record2086100--106Wireless Infrastructure-to-Vehicle Communication Technologies to Increase Road Safety Along Motorways2008Applications 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.http://www.bibsonomy.org/bibtex/28a82bb3f7bef789364273766e69ce7ef/atrianaatriana2012-02-14T04:46:49+01:00INFORMATION <span class="authorEditorList"><a href="/author/Rossetti">R. J. F. Rossetti</a>, <a href="/author/Bordini">R. H. Bordini</a>, <a href="/author/Bazzan">A. L. C. Bazzan</a>, <a href="/author/Bampi">S. Bampi</a>, <a href="/author/Liu">R. Liu</a>, and <a href="/author/Van Vliet">D. Van Vliet</a> </span><em>Transportation Research Part C-emerging Technologies</em> <em>10(5-6):373--398</em> (<em>October 2002</em>)Tue Feb 14 04:46:49 CET 2012Transportation Research Part C-emerging Technologies#oct#5-6373--398Using BDI agents to improve driver modelling in a commuter scenario102002INFORMATION The use of multi-agent systems to model and to simulate real systems consisting of intelligent entities capable of autonomously co-operating with each other has emerged as an important field of research. This has been applied to a variety of areas, such as social sciences, engineering, and mathematical and physical theories. In this work, we address the complex task of modelling drivers' behaviour through the use of agent-based techniques. Contemporary traffic systems have experienced considerable changes in the last few years, and the rapid growth of urban areas has challenged scientific and technical communities. Influencing drivers' behaviour appears as an alternative to traditional approaches to cope with the potential problem of traffic congestion, such as the physical modification of road infrastructures and the improvement of control systems. It arises as one of the underlying ideas of intelligent transportation systems. In order to offer a good means to evaluate the impact that exogenous information may exert on drivers' decision making, we propose an extension to an existing microscopic simulation model called Dynamic Route Assignment Combining User Learning and microsimulAtion (DRACULA). In this extension, the traffic domain is viewed as a multi-agent world and drivers are endowed with mental attitudes, which allow rational decisions about route choice and departure time. This work is divided into two main parts. The first part describes the original DRACULA framework and the extension proposed to support our agent-based traffic model. The second part is concerned with the reasoning mechanism of drivers modelled by means of a Beliefs, Desires, and Intentions (BDI) architecture. In this part, we use AgentSpeak(L) to specify commuter scenarios and special emphasis is given to departure time and route choices. This paper contributes in that respect by showing a practical way of representing and assessing drivers' behaviour and the adequacy of using AgentSpeak(L) as a modelling language, as it provides clear and elegant specifications of BDI agents. (C) 2002 Elsevier Science Ltd. All rights reserved.http://www.bibsonomy.org/bibtex/2fbd3851df38ef70c99e9fb02603b1c72/atrianaatriana2012-02-14T04:46:48+01:00SYSTEMS <span class="authorEditorList"><a href="/author/Rezaei">S. Rezaei</a>, <a href="/author/Sengupta">R. Sengupta</a>, <a href="/author/Krishnan">H. Krishnan</a>, <a href="/author/Guan">X. Guan</a>, and <a href="/author/Bhatia">R. Bhatia</a> </span><em>Transportation Research Part C-emerging Technologies</em> <em>18(3):335--350</em> (<em>June 2010</em>)Tue Feb 14 04:46:48 CET 2012Transportation Research Part C-emerging Technologies#jun#3335--350Tracking the position of neighboring vehicles using wireless communications182010SYSTEMS We investigate four communication schemes for Cooperative Active Safety System (CASS) and compare their performance with application level reliability metrics. The four schemes are periodic communication, periodic communication with model, variable communication, and variable communication with repetition. CASS uses information communicated from neighboring vehicles via wireless network in order to actively evaluate driving situations and provide warnings or other forms of assistance to drivers. In CASS, we assume that vehicles are equipped with a GPS receiver, a Dedicated Short Range Communications (DSRC) transceiver, and in-vehicle sensors. The messages exchanged between vehicles convey position, speed, heading, and other vehicle kinematics. This information is broadcast to all neighbors within a specified communication range. Existing literature surmises that in order for CASS to be effective, it may need a vehicle to broadcast messages periodically as often as every 100 ms. In this paper, we introduce the concept of running a kinematic model in-between message transmissions as a means of reducing the communication rate. We use traffic and network simulators to compare the performance of the four schemes. Our performance measure metrics include communication losses as well as average position errors. (c) 2009 Elsevier Ltd. All rights reserved.http://www.bibsonomy.org/bibtex/22c870d54c210c17abc037b2d9c040aa4/atrianaatriana2012-02-14T04:46:27+01:00SIMULATION <span class="authorEditorList"><a href="/author/Ma">Y. C. Ma</a>, <a href="/author/Fries">R. Fries</a>, <a href="/author/Chowdhury">M. Chowdhury</a>, and <a href="/author/Inamdar">I. Inamdar</a> </span><em>Simulation-transactions of the Society For Modeling and Simulation International</em> <em>88(1):123--133</em> (<em>January 2012</em>)Tue Feb 14 04:46:27 CET 2012Simulation-transactions of the Society For Modeling and Simulation International#jan#1123--133Evaluation of the integrated application of intelligent transportation system technologies using stochastic incident generation and resolution modeling882012SIMULATION This paper presents the use of the microscopic vehicle traffic simulation software PARAMICS to evaluate different incident management implementation alternatives in South Carolina. This study customized the simulation model for random spatial and temporal traffic incident generation, and modeled different incident alternatives through an application programming interface. This incident management system integrated incident reporting hotlines, traffic cameras, traffic sensors, and freeway service patrols (FSPs), finding that this approach to incident management outperformed the application of traffic cameras or FSPs alone. The integrated application of intelligent transportation system technologies significantly reduced incident duration and total vehicle hours of travel during an incident. In addition, FSP response policy and headway affected the incident management performance.http://www.bibsonomy.org/bibtex/2c74fac2436c8a0ab3df3eaa0a18d29ae/atrianaatriana2012-02-14T04:46:16+01:00<span class="authorEditorList"><a href="/author/Selekwa">M. F. Selekwa</a>, <a href="/author/Mussa">R. N. Mussa</a>, and <a href="/author/Chiteshe">A. Chiteshe</a> </span><em>Optimal Control Applications \&amp; Methods</em> <em>24(6):331--345</em> (<em>November 2003</em>)Tue Feb 14 04:46:16 CET 2012Optimal Control Applications \& Methods#nov#6331--345Application of LQ modelling and optimization in urban traffic control242003The increasing congestion on urban streets demands traffic control signal timing to be well co-ordinated and optimized even during the transition between timing patterns used in different periods of time-of-day (TOD). The TOD timing plans, defined by fixed-time co-ordination parameters, need to change from one TOD period to another. The current methods used in transitioning are aimed at achieving quick transition rather than optimizing traffic flow during the transition period. As a result, they generally cause increased vehicle delays during the transition period particularly for vehicles on the minor street, which face lengthened red times. This paper proposes a quadratic optimization method that can be used to reduce disutility measures to motorists during the transition period. The transition is modeled as a linear dynamic process, and the disutility measures are modeled as the sum of squares of the deviations of the co-ordination parameters-that is, cycle length, phase split, and offset-from the optimal values during the transition. A linear quadratic (LQ) optimization technique of optimal control is used to determine the step size and the number of steps necessary to complete the transition with minimum disutility. The proposed transition period optimization method has the advantage that the user need not specify minimum and maximum cycle length to achieve optimization, as is the case with current methods. Simulation results for three co-ordinated intersections showed that the proposed method reduces total vehicle delay when compared to the 'immediate' transition method embedded in CORSIM traffic simulation software. This is due to the fact that vehicles on the minor street approaches get proportional green time without significantly affecting green times on the major street approach green phase. However, the method showed a slight increase in total delay for vehicles on the major street. Copyright (C) 2003 John Wiley Sons, Ltd.http://www.bibsonomy.org/bibtex/227a770e31fd810a28f6995b056c09130/atrianaatriana2012-02-14T04:46:03+01:00<span class="authorEditorList"><a href="/author/Fries">R. N. Fries</a>, <a href="/author/Dunning">A. E. Dunning</a>, and <a href="/author/Chowdhury">M. A. Chowdhury</a> </span><em>Journal of Public Transportation</em> <em>14(2):29--50</em> (<em>2011</em>)Tue Feb 14 04:46:03 CET 2012Journal of Public Transportation229--50University Traveler Value of Potential Real-Time Transit Information142011Intelligent transportation systems (ITS) have become common in public transit systems, particularly providing real-time transit information. For new implementations, it remains difficult to predict and quantify system and user benefits of technology implementation. Although previous studies have quantified the operational benefits of real-time transit traveler information systems, a gap in knowledge exists around passenger benefits of such systems. The objective of this research was to create a refined method for evaluating transit rider benefits from real-time traveler information and predict changes in traveler behavior. The study was conducted on a rural university campus, isolating the impacts of the system from the multiple influences that often affect transportation in larger metropolitan areas. This study uniquely integrated transit system performance, pedestrian travel times, and traffic simulation to determine travel times and predict mode split. Findings indicated that reducing passenger waiting anxiety was the most significant measure of traveler benefit from such a system. While the benefits found were specific to the study site, the methodology can be used for other transit systems evaluating real-time transit technology investments in rural or urban environments.http://www.bibsonomy.org/bibtex/2249565c8975dec6aa9ceeb849ca1d352/atrianaatriana2012-02-14T04:45:54+01:00VISION <span class="authorEditorList"><a href="/author/Dumbuya">A. D. Dumbuya</a>, and <a href="/author/Wood">R. L. Wood</a> </span><em>Journal of Experimental \&amp; Theoretical Artificial Intelligence</em> <em>15(1):73--102</em> (<em>2003</em>)Tue Feb 14 04:45:54 CET 2012Journal of Experimental \& Theoretical Artificial Intelligence173--102Visual perception modelling for intelligent virtual driver agents in synthetic driving simulation152003VISION This paper introduces a vision model used within a synthetic ( or purely software-based) driving simulation framework. This framework represents driver decision-making, individual vehicle movement and emergent traffic flow, and is intended to aid the integration of driver psychology, traffic management and vehicle engineering. The aims of developing the vision model discussed here are twofold: Firstly, to remove the unrealistic availability of perfect knowledge concerning the positions and velocities of vehicles in a simulation and secondly, to provide a means of introducing deeper cognitive models of driver reasoning and behaviour. The paper presents the essential mechanisms of the vision model, along with the results of initial validation experiments conducted with Leicestershire Constabulary, Traffic Division in the UK. In these experiments, subjects visual perception of positions and speeds of moving vehicles were measured and compared with estimations of the agent based driving simulator. The results have demonstrated the feasibility of modelling driver vision within an agent based traffic simulation using concepts derived from AI and ALife systems. The paper is completed by a short discussion on the future development of cognitive models enabled through more detailed vision modelling.http://www.bibsonomy.org/bibtex/2c48f21f12db1a59e03ccba9e07fbec93/atrianaatriana2012-02-14T04:45:41+01:00AGENTS <span class="authorEditorList"><a href="/author/Chen">R. S. Chen</a>, <a href="/author/Chen">D. K. Chen</a>, and <a href="/author/Lin">S. Y. Lin</a> </span><em>Ieice Transactions On Information and Systems</em> <em>E88D(1):119--126</em> (<em>January 2005</em>)Tue Feb 14 04:45:41 CET 2012Ieice Transactions On Information and Systems#jan#1119--126ACTAM: Cooperative multi-agent system architecture for urban traffic signal controlE88D2005AGENTS The traffic congestion problem in urban areas is worsening since traditional traffic signal control systems cannot provide] efficient traffic regulation. Therefore, dynamic traffic signal control in Intelligent Transportation System (ITS) recently has received increasing attention. This study devised a multi-agent architecture, the Adaptive and Cooperative Traffic light Agent Model (ACTAM), for a decentralized traffic signal control system. The proposed architecture comprises a data Storage and communication layer, a traffic regulation factor processing layer, and a decision-making layer. This study focused on utilizing the cooperation of multi-agents and the prediction mechanism of our architecture, the Forecast Module, to forecast future traffic volume in each individual intersection. The Forecast Module is designed to forecast traffic volume in an intersection via multi-agent cooperation by exchanging traffic volume information for adjacent intersections, since vehicles passing through nearby intersections were believed to significantly influence the traffic volume of specific intersections. The proposed architecture can achieve dynamic traffic signal control. Thus, total delay time of the traffic network under ACTAM can be reduced by 37% compared to the conventional fixed sequence traffic signal control strategy. Consequently, traffic congestion in urban areas can be alleviated by adopting ACTAM.http://www.bibsonomy.org/bibtex/25cabe8ae85cabb395b8656e274f61515/atrianaatriana2012-02-14T04:45:33+01:00<span class="authorEditorList"><a href="/author/Choy">M. C. Choy</a>, <a href="/author/Srinivasan">D. Srinivasan</a>, and <a href="/author/Cheu">R. L. Cheu</a> </span><em>Ieee Transactions On Systems Man and Cybernetics Part A-systems and Humans</em> <em>33(5):597--607</em> (<em>September 2003</em>)Tue Feb 14 04:45:33 CET 2012Ieee Transactions On Systems Man and Cybernetics Part A-systems and Humans#sep#5597--607Cooperative, hybrid agent architecture for real-time traffic signal control332003This paper presents a new hybrid, synergistic approach in applying computational intelligence concepts to implement a cooperative, hierarchical, multiagent system for real-time traffic signal control of a complex traffic network. The large-scale traffic signal control problem is divided into various subproblems, and each subproblem is handled by an intelligent agent with fuzzy neural decision-making module. The decisions made by lower-level agents are mediated by their respective higher-level agents. Through adopting-a cooperative distributed problem solving approach, coordinated control by the agents is achieved. In order for the multiagent architecture to adapt itself continuously to the dynamically changing problem domain, a multistage online learning process for each agent is implemented involving reinforcement learning, learning rate and weight adjustment as well as dynamic update of fuzzy relations using evolutionary algorithm. The test bed used for this research is a section of the Central Business District of Singapore. The performance of the proposed multiagent architecture is evaluated against the set of signal plans used by the current real-time adaptive traffic control system. The multiagent architecture produces significant improvements in the conditions of the traffic network, reducing the total mean delay by 40% and total vehicle stoppage time by 50%.http://www.bibsonomy.org/bibtex/2cb70e48c319bb26bc113094b996b7e76/atrianaatriana2012-02-14T04:45:30+01:00CONVERGENCE <span class="authorEditorList"><a href="/author/Srinivasan">D. Srinivasan</a>, <a href="/author/Choy">M. C. Choy</a>, and <a href="/author/Cheu">R. L. Cheu</a> </span><em>Ieee Transactions On Intelligent Transportation Systems</em> <em>7(3):261--272</em> (<em>September 2006</em>)Tue Feb 14 04:45:30 CET 2012Ieee Transactions On Intelligent Transportation Systems#sep#3261--272Neural networks for real-time traffic signal control72006CONVERGENCE Real-time traffic signal control is an integral part of the urban traffic control system, and providing effective real-time traffic signal control for a large complex traffic network is an extremely challenging distributed control problem. This paper adopts the multiagent system approach to develop distributed unsupervised traffic responsive signal control models, where each agent in the system is a local traffic signal controller for one intersection in the traffic network. The first multiagent system is developed using hybrid computational intelligent techniques. Each agent employs a multistage online learning process to update and adapt its knowledge base and decision-making mechanism. The second multiagent system is developed by integrating the simultaneous perturbation stochastic approximation theorem in fuzzy neural networks (NN). The problem of real-time traffic signal control is especially challenging if the agents are used for an infinite horizon problem, where online learning has to take place continuously once the agent-based traffic signal controllers are implemented into the traffic network. A comprehensive simulation model of a section of the Central Business District of Singapore has been developed using PARAMICS microscopic simulation program. Simulation results show that the hybrid multiagent system provides significant improvement in traffic conditions when evaluated against an existing traffic signal control algorithm as well as the SPSA-NN-based multiagent system as the complexity of the simulation scenario increases. Using the hybrid NN-based multiagent system, the mean delay of each vehicle was reduced by 78% and the mean stoppage time, by 85% compared to the existing traffic signal control algorithm. The promising results demonstrate the efficacy of the hybrid NN-based multiagent system in solving large-scale traffic signal control problems in a distributed manner.http://www.bibsonomy.org/bibtex/277e665668a078cd81ef8e633a33f9186/atrianaatriana2012-02-14T04:44:39+01:00<span class="authorEditorList"><a href="/author/Klugl">F. Klugl</a>, <a href="/author/Herrler">R. Herrler</a>, and <a href="/author/Andriotti">G. K. Andriotti</a> </span><em>Computer Systems Science and Engineering</em> <em>21(3):197--206</em> (<em>May 2006</em>)Tue Feb 14 04:44:39 CET 2012Computer Systems Science and Engineering#may#3197--206Coupling GIS and multi-agent simulation - towards infrastructure for realistic simulation212006Based on the agent paradigm, the formulation of highly realistic simulation models becomes feasible as individual, flexible and intelligent behavior can be incorporated into a model. The richness of the environment and its spatial representation form basic ingredients for such models. However, they cannot be modelled easily with simple spatial representations usually used in multi-agent simulation. An interesting solution consists of coupling a multi-agent simulation tool and a geographical information system. Based on such a coupling existing real-world geographic data can be used for realistic multi-agent simulations. In this article, we are presenting several ways of coupling multi-agent simulators and geographical information systems. Important aspects are tackled, like correspondence between agents and their shape as well as possible perceptions and actions. The concepts are exemplified in a coupling between SeSAm and Arcview and demonstrated using a simple traffic simulation.http://www.bibsonomy.org/bibtex/2752ab1632f9571da8c55b34d651db1f5/atrianaatriana2012-02-14T04:44:29+01:00<span class="authorEditorList"><a href="/author/Zhang">L. Zhang</a>, <a href="/author/Hobeika">A. G. Hobeika</a>, and <a href="/author/Ghaman">R. Ghaman</a> </span><em>Advanced Traffic Management Systems For Freeways and Traffic Signal Systems 2002: Highway Operations, Capacity, and Traffic Control</em> (<em>2002</em>)Tue Feb 14 04:44:29 CET 2012Advanced Traffic Management Systems For Freeways and Traffic Signal Systems 2002: Highway Operations, Capacity, and Traffic Control1811139--147Optimizing traffic network signals around railroad crossings - Model validations2002A model entitled SOURCAO (signal optimization under rail crossing safety constraints) is discussed. There are two objectives in SOURCAO design: highway rail grade crossing (HRGC) safety consideration and highway traffic delay reduction around the crossings. The first step in SOURCAO is to choose a proper preemption phase sequence to promote HRGC safety. This is done by the inference engine in an intelligent agent. The second step in SOURCAO is to find the optimized signal phase length to reduce highway traffic delay. The optimization process uses an objective function of the network traffic delay. The delay is approximated and represented by a multilayer perceptron neural network. The system inputs are online surveillance detector data and HRGC closure information. The system architecture of SOURCAO is briefly discussed. Various types of surveillance schemes in the proposed delay model are introduced. Emphasis is on validating the various models applied in SOURCAO. First, the proposed delay model is compared with queue delays obtained from the TSIS/CORSIM traffic simulation package. Second, the neural network delay forecast is verified through a cross-validation procedure. Finally, the objectives of SOURCAO are evaluated by TSIS/CORSIM. The average network delay for 20 runs of simulation is reduced over 8% (P = 0.05; t-test), and the unsafe queue time of the highway vehicle on HRGC in a test case is reduced.http://www.bibsonomy.org/bibtex/24f80255dc2354dd1cd3b675ca9f30565/maxirichtermaxirichter2012-02-13T15:56:54+01:00ximl ui_modelling richterm_ma <span class="authorEditorList"><a href="/author/Puerta">Angel R. Puerta</a>, and <a href="/author/Eisenstein">Jacob Eisenstein</a> </span><em>IUI, </em><em>page 216-217. </em>(<em>2002</em>)Mon Feb 13 15:56:54 CET 2012IUI216-217XIML: a common representation for interaction data .2002ximl ui_modelling richterm_ma dblp