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.
%0 Journal Article
%1 Chen2005
%A Chen, R. S.
%A Chen, D. K.
%A Lin, S. Y.
%D 2005
%I Ieice-inst Electronics Information Communications Eng
%J Ieice Transactions On Information and Systems
%K AGENTS
%N 1
%P 119--126
%R 10.1093/ietisy/E88-D.1.119
%T ACTAM: Cooperative multi-agent system architecture for urban traffic signal control
%V E88D
%X 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.
@article{Chen2005,
abstract = {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.},
added-at = {2012-02-14T04:45:41.000+0100},
af = {Chen, RSEOLEOLChen, DKEOLEOLLin, SY},
author = {Chen, R. S. and Chen, D. K. and Lin, S. Y.},
biburl = {https://www.bibsonomy.org/bibtex/2c48f21f12db1a59e03ccba9e07fbec93/atriana},
c1 = {Natl Chiao Tung Univ, Inst Informat Management, Hsinchu 300, Taiwan.EOLEOLNatl Tsing Hua Univ, Dept Comp Sci, Hsinchu 300, Taiwan.},
citedreferences = {LIN SY, 2003, P 11 MED C CONTR AUT ; Fujimoto N, 2002, IEICE T INF SYST, VE85D, P1839 ; Schleiffer R, 2002, TRANSPORT RES C-EMER, V10, P325 ; BIGUS JP, 2001, CONSTRUCTING INTELLI ; LOTHMAN H, 2001, THESIS OULU POLYTECH ; FERREIRA ED, 2001, P IEEE C INT TRANSP, P25 ; ROOZEMOND DA, 2000, ESIT2000 ; WEY WM, 2000, TRANSPORTATION PLANN, V29, P693 ; FERBER J, 1999, MULTIAGENT SYSTEMS I ; ANDERSSON L, 1999, THESIS GOTEBORG U ; LANGE DB, 1998, PROGRAMMING DEPLOYIN ; JENNINGS N, 1998, AGENT TECHNOLOGIES F ; RUSSELL SJ, 1995, ARTIFICIAL INTELLIGE ; HAYESROTH B, 1995, ARTIF INTELL, V72, P329 ; SMITH DC, 1994, COMMUN ACM, V37, P55 ; CHANG ECP, 1988, TTI218864671 TEX A M ; WALLACE CE, 1988, TRANSYT 7F USERS MAN ; MATSON T, 1971, TRAFFIC ENG},
de = {intelligent agents; multi-agent systems (MAS); decentralized control;EOLEOLdynamic traffic signal control},
doi = {10.1093/ietisy/E88-D.1.119},
em = {cdk@iim.nctu.edu.tw},
ga = {889KZ},
groups = {public},
interhash = {c7c65ce73e1b4f1e0bfff3e3d73778f6},
intrahash = {c48f21f12db1a59e03ccba9e07fbec93},
j9 = {IEICE T INF SYST},
ji = {IEICE Trans. Inf. Syst.},
journal = {Ieice Transactions On Information and Systems},
keywords = {AGENTS},
la = {English},
month = {#jan#},
nr = {18},
number = 1,
pa = {KIKAI-SHINKO-KAIKAN BLDG MINATO-KU SHIBAKOEN 3 CHOME, TOKYO, 105, JAPAN},
pages = {119--126},
pg = {8},
pi = {TOKYO},
publisher = {Ieice-inst Electronics Information Communications Eng},
rp = {Chen, RS (reprint author), Natl Chiao Tung Univ, Inst Informat Management, Hsinchu 300, Taiwan},
sc = {Computer Science},
sn = {0916-8532},
tc = {8},
timestamp = {2012-02-18T05:04:58.000+0100},
title = {ACTAM: Cooperative multi-agent system architecture for urban traffic signal control},
username = {atriana},
ut = {WOS:000226443200018},
volume = {E88D},
wc = {Computer Science, Information Systems; Computer Science, SoftwareEOLEOLEngineering},
year = 2005,
z9 = {8}
}