A review on agent-based technology for traffic and transportation

被引:200
作者
Bazzan, Ana L. C. [1 ]
Klugl, Franziska [2 ]
机构
[1] Univ Fed Rio Grande do Sul, Inst Informa PPGC, BR-91501970 Porto Alegre, RS, Brazil
[2] Univ Orebro, S-70182 Orebro, Sweden
关键词
ROUTE CHOICE; COORDINATION; MANAGEMENT; MODEL; SIMULATION; BEHAVIOR; SYSTEMS; DRIVER;
D O I
10.1017/S0269888913000118
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the last few years, the number of papers devoted to applications of agent-based technologies to traffic and transportation engineering has grown enormously. Thus, it seems to be the appropriate time to shed light over the achievements of the last decade, on the questions that have been successfully addressed, as well as on remaining challenging issues. In the present paper, we review the literature related to the areas of agent-based traffic modelling and simulation, and agent-based traffic control and management. Later we discuss and summarize the main achievements and the challenges.
引用
收藏
页码:375 / 403
页数:29
相关论文
共 117 条
[61]  
Kesting A., 2009, AGENTS SIMULATIONS A, P325
[62]  
Klügl F, 2004, HUMAN BEHAVIOUR AND TRAFFIC NETWORKS, P285
[63]  
Klugl F., 2011, 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies, P22, DOI 10.1109/WI-IAT.2011.246
[64]  
KLUGL F, 2003, P 2 INT JOINT C AUT, P377
[65]  
Klugl F., 2012, AI MAGAZINE
[66]   Multi-agent fuzzy signal control based on real-time simulation [J].
Kosonen, I .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2003, 11 (05) :389-403
[67]  
Kozlak J, 2008, J UNIVERS COMPUT SCI, V14, P2359
[68]  
Ksontini F, 2012, ADV INTEL SOFT COMPU, V155, P115
[69]  
Kuyer L, 2008, LECT NOTES ARTIF INT, V5211, P656, DOI 10.1007/978-3-540-87479-9_61
[70]  
Lowrie P., 1982, P INT C ROAD TRAFF S, P1