%0 Journal Article %1 Halle2005 %A Halle, S. %A Chaib-Draa, B. %D 2005 %I Pergamon-elsevier Science Ltd %J Transportation Research Part C-emerging Technologies %K VEHICLES %N 4 %P 320--345 %R 10.1016/j.trc.2005.07.004 %T A collaborative driving system based on multiagent modelling and simulations %V 13 %X Collaborative driving is a growing domain of intelligent transportation systems (ITS) that makes use of communications to autonomously guide cooperative vehicles on an. automated highway system (AHS). In this paper, we address this issue by using a platoon of cars considered as more or less autonomous software agents. To achieve this, we propose a hierarchical driving agent architecture based on three layers (guidance layer, management layer and traffic control layer). This architecture has been used to develop centralized platoons, where the driving agent of the head vehicle coordinates other driving agents by applying strict rules, and decentralized platoons, where the platoon is considered as a group of driving agents with a similar degree of autonomy, trying to maintain a stable platoon. The latter decentralized model mainly considers an agent teamwork model based on a multiagent architecture, known as STEAM. The centralized and decentralized coordination models are finally compared using results from simulation scenarios that highlight safety, time efficiency and communication efficiency aspects for each model. (c) 2005 Elsevier Ltd. All rights reserved.

@article{Halle2005, abstract = {Collaborative driving is a growing domain of intelligent transportation systems (ITS) that makes use of communications to autonomously guide cooperative vehicles on an. automated highway system (AHS). In this paper, we address this issue by using a platoon of cars considered as more or less autonomous software agents. To achieve this, we propose a hierarchical driving agent architecture based on three layers (guidance layer, management layer and traffic control layer). This architecture has been used to develop centralized platoons, where the driving agent of the head vehicle coordinates other driving agents by applying strict rules, and decentralized platoons, where the platoon is considered as a group of driving agents with a similar degree of autonomy, trying to maintain a stable platoon. The latter decentralized model mainly considers an agent teamwork model based on a multiagent architecture, known as STEAM. The centralized and decentralized coordination models are finally compared using results from simulation scenarios that highlight safety, time efficiency and communication efficiency aspects for each model. (c) 2005 Elsevier Ltd. All rights reserved.}, added-at = {2012-02-14T04:46:43.000+0100}, af = {Halle, SEOLEOLChaib-Draa, B}, author = {Halle, S. and Chaib-Draa, B.}, biburl = {https://www.bibsonomy.org/bibtex/24d73d17fafbe0628d83332c3067bbe27/atriana}, c1 = {Univ Laval, Dept Informat & Genie Logiciel, Ste Foy, PQ G1K 7P4, Canada.}, citedreferences = {HALLE S, 2005, THESIS U LAVAL QUEBE ; *AOS, 2004, JACK INT AG 4 1 ; HOWELL AS, 2004, P AUT SOFTW ARCH WOR ; NAIR R, 2003, P 2 INT JOINT C AUT, P552 ; HUPPE X, 2003, P IEEE INT C SYST MA, V4, P3091 ; BLOSSEVILLE JM, 2003, P 10 ITS WORLD C MAD ; *U LAV, 2003, AUT 21 ; HEDRICK J, 2003, UCBITSPRR200327 ; IOANNOU P, 2003, UCBITSPRR200303 ; HALLE S, 2003, P AG BAS SIM ABS4, V4, P57 ; XU Q, 2002, P IEEE VEH TECHN C V, P1249 ; TSUGAWA S, 2001, P 2001 IEEE INT TRAN, P918 ; BANA SV, 2001, COORDINATING AUTOMAT ; VANDERWERF J, 2001, US NAT RES COUNC TRA ; LIANG CY, 2000, JSME INT J C-MECH SY, V43, P671 ; TSUGAWA S, 2000, P IEEE INT VEH S 200, P422 ; GHOSH S, 2000, INTELLIGENT TRANSPOR ; TAMBE M, 2000, J AUTONOMOUS AGENTS, V98, P159 ; SAKAGUCHI T, 2000, P IEEE INT VEH S, P516, DOI 10.1109/IVS.2000.898397 ; LYGEROS J, 1998, IEEE T AUTOMAT CONTR, V43, P522, DOI 10.1109/9.664155 ; ANTONIOTTI M, 1997, P IEEE C INT TRANSP, V97, P147 ; SHOHAM Y, 1995, ARTIF INTELL, V73, P231 ; RAO AS, 1995, P 1 INT C MULT SYST, P312 ; VARAIYA P, 1993, IEEE T AUTOMAT CONTR, P32 ; GEORGEFF M, 1990, P 6 IEEE C ART INT A, V1, P198}, cl = {New York, NY}, ct = {3rd Workshop on Agents in Traffic and Transportation}, cy = {JUL 20, 2004}, de = {collaborative driving system (CDS); intelligent vehicles; teamwork;EOLEOLmultiagent; car platoon; intelligent transport system (ITS)}, doi = {10.1016/j.trc.2005.07.004}, em = {halle@iad.ift.ulaval.caEOLEOLchaib@iad.ift.ulaval.ca}, ga = {972HQ}, groups = {public}, interhash = {955bbd0642a62f8d713ea70a43d9bd0b}, intrahash = {4d73d17fafbe0628d83332c3067bbe27}, j9 = {TRANSPORT RES C-EMER}, ji = {Transp. Res. Pt. C-Emerg. Technol.}, journal = {Transportation Research Part C-emerging Technologies}, keywords = {VEHICLES}, la = {English}, month = {#aug#}, nr = {25}, number = 4, pa = {THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND}, pages = {320--345}, pg = {26}, pi = {OXFORD}, publisher = {Pergamon-elsevier Science Ltd}, rp = {Halle, S (reprint author), Univ Laval, Dept Informat & Genie Logiciel, Ste Foy, PQ G1K 7P4, Canada}, sc = {Transportation}, sn = {0968-090X}, tc = {15}, timestamp = {2012-02-18T05:04:02.000+0100}, title = {A collaborative driving system based on multiagent modelling and simulations}, username = {atriana}, ut = {WOS:000232445300005}, volume = 13, wc = {Transportation Science & Technology}, year = 2005, z9 = {16} }