Distributed constraint satisfaction for urban traffic signal control

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4798 LNAI, Issue , 2007, Pages 73-84

  Mizuno, Kazunori ^a   Nishihara, Seiichi ^b  

^a TAKUSHOKU UNIVERSITY   (Japan)

^b UNIVERSITY OF TSUKUBA   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CONGESTION CONTROL (COMMUNICATION); JAMMING; PARAMETER ESTIMATION; PROBLEM SOLVING; SIGNAL ANALYSIS;

CONSTRAINT SATISFACTION PROBLEM; LOCAL CONGESTION;

CONSTRAINT THEORY;

EID: 38149069647     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-76719-0_11     Document Type: Conference Paper

References (22)

1. Barrett, C.L., et. al.: TRANSIMS (Transportation ANalysis SIMulation) volume 0 - Overview. Tech. Rep., LA-UR-99-1658 (1999)
2. Chen, R.S., Chen, D.K., Lin, S.Y,: ACTAM: Cooperative Multi-Agent System Architecture for Urban Traffic Signal Control. IEICE Trans. Inf. & Syst. E88-D(1), 119-126 (2005)
3. Dia, H.: An agent-based approach to modelling driver route choice behaviour under the influence of real-time information. Transportation Research Part C 10, 331-349 (2002)
4. Ehlert, P.A.M., Rothkrantz, L.J.M.: Microscopic traffic simulation with reactive driving agents. In: 2001 IEEE Intelligent Transportation Systems Conference Proceedings, pp. 861-866. IEEE Computer Society Press, Los Alamitos (2001)
5. Fernandes, J.M., Oliveira, E.: TraMas: Traffic Control through Behaviour-based Multi-Agent System. In: Proc. PAAM 1999, pp. 457-458 (1999)
6. Helbing, D., et al.: Micro- and Macro-Simulation of Freeway Traffic. Mathematical and Computer Modelling 35, 517-547 (2002)
7. Hirayama, K., Yokoo, M.: The distributed breakout algorithms. Artficial Intelligence 161, 89-115 (2005)
8. KLD associates, Inc.: TRAF NETSIM USER GUIDE (1995)
9. Li, M., et al.: A Cooperative Intelligent System for Urban Traffic Problems. In: Proc. IEEE Symp. Intelligent Control, pp. 162-167. IEEE Computer Society Press, Los Alamitos (1996)
10. Mackworth, A.K., et al.: A Formal Approach to Agent Design: An Overview of Constraint Based Agents. Constraints 8(3), 229-242 (2003)
11. Metropolitan Police Department Website (in Japanese), http://www.npa.go.jp/koutsuu/kisei/index.html
12. Ministry of Land, Infrastructure and Transport Japan Website, http://www.mlit.go.jp/road/ITS/
13. Nagel, K., et al.: Traffic at the edge of chaos. Artficial Life IV, 222-235 (1994)
14. Nagel, K., et. al.: TRANSIMS for Urban planning. Tech. Rep., LA-UR-98-4389 (1999)
15. Nareyek, A.: Constraint-Based Agents. LNCS (LNAI), vol. 2062. Springer, Heidelberg (2001)
16. Raney, B., et al.: Large Scale Multi-Agent Transportation Simulations. In: 42nd ERSA (European Regional Science Association) Congress (2002)
17. Universal Traffic Manegement Society of Japan Website, http://www.utms.or.jp/english/index.html
18. Yamada, M., Mizuno, K., Fukui, Y., Nishihara, S.: An Agent-Based Approach to Urban Traffic Flow Simulation. In: IWAIT 2006. Proc. International Workshop on Advanced Image Technology 2006, pp. 502-507 (2006)
19. Yamada, K., Samamaki, M., Mizuno, K., Fukui, Y., Nishihara, S.: Automatic Generation of Building Shapes for City Views. In: IWAIT 2006. Proc. International Workshop on Advanced Image Technology 2006, pp. 484-489 (2006)
20. Yamamoto, N., Morishita, S.: Simulation of Traffic Flow by Cellular Automata and its Control (in Japanese). Journal of The Japan Society of Mechanical Engineers (C) 65(637), 3553-3558 (1999)
21. Yokoo, M., Hirayama, K.: Distribute Constraint Satisfaction Algorithm for Complex Local Problems (in Japanese). Journal of Japan Society for Artificial Intelligence 12(2), 348-354 (2000)
22. Wiering, M., et al.: Intelligent Traffic Light Control. Tech. Rep., UU-CS-2004-029 (2004)