AGENT-BASED MODELING FOR TRAFFIC SIMULATION

  • KARIMA BENHAMZA Département d’informatique, Université 08 mai 45, Guelma 24000, Algérie
  • SALAH ELLAGOUNE LMG, Université 08 mai 45, Guelma 24000, Algérie
  • HAMID SERIDI Crestic, Université de Reims, B. P. 1035, 51687, Reims Cedex 02
  • HERMAN AKDAG LIP6 Université P. & M. Curie, 75687 Paris Cedex 05,

Résumé

In  this  paper  we  develop  a  multi-agent  based  traffic  simulator  by  considering traffic  flows as emergent phenomena. The
main  problem  of  agent-based  traffic  simulation  is how  to  reproduce  realistic  patterns  of  traffic  flow  at  both macroscopic
and microscopic. The objective of simulation is a scenario of  traffic generated by the model  that should provide  the illusion
of a real road scenario.

Références

K. BENHAMZA & al
56
[13] CICORTAS, A. AND SOMSI, N. Multi-agent system
model for urban traffic simulation, 2nd Romanian-
Hungarian Joint Symposium on Applied Computational
Intelligence Timisoara, Romania, 12-14 May 2005.
[14] WAHLE J, BAZZAN A L C, KLUGL F, The impact of
real-time information in a two-route scenario using agent-
based simulation. Transport Res C-Emer, 10: 399–417,
2002
[15] ADLER J L, SATAPATHY G, MANIKONDA V, A multi-
agent approach to cooperative traffic management and
route guidance. Transport Res B-Meth, 39: 297– 318,
2005
[16] CETIN N, NAGEL K, RANEY B, Large-scale multi-agent
transportation simulations. Comput Phys Commun, 2002,
147: 559–564
[17] BALMER M, AXHAUSEN K W, NAGEL K. Agent-based
demand-modeling framework for large- scale
microsimulations. Transport Res Rec, 1985: 125–134,
2006
[18] HERNANDEZ J Z, OSSOWSKI S, Garcia-Serrano A.
Multi-agent architectures for intelligent traffic
management systems. Transport Res C-Emer, 10: 473–
506, 2002.
[19] HIDAS P. Modelling vehicle interactions in microscopic
simulation of merging and weaving. Transport Res C-
Emer, 13: 37–62, 2005.
[20] BAZZAN A L C. A distributed approach for coordination
of traffic signal agents. Auton Agent Multi- Ag, 10: 131–
164, 2005.
[21] DAVIDSSON P, HENESEY L, RAMSTEDT L, An
analysis of agent based approaches to transport logistics.
Transport Res C-Emer, 13: 255–271, 2005.
[22] CHAMPION, A. et al., 1999. Traffic generation with the
SCANeR II simulator: Towards mulit-agent architecture.
DSC ’99: Proceedings of the first Driving Simulation
Conference, pp 311-324, 1999.
[23] TANG, W. and WAN, T.R, Multi-agent Animation
Techniques for Traffic Simulation in Urban Environment.
WSCG (Short Papers), pp161-164. , 2005.
[24] RIGOLLI, M. and BRADY, M., Towards a behavioural
traffic monitoring system, AAMAS '05: Proceedings of the
fourth international joint conference on Autonomous
agents and multi-agent systems, 2005, ACM Press pp449-
454, 2005.
[25] BURMEISTER B, DOORMANN J, MATYLIS G. Agent-
oriented traffic simulation.Trans Soc Comput Simul, 14:
79–86, 1997.
[26] ROSSETTI R J F, BAMPI S, LIU R H,An agent-based
framework for the assessment of drivers' decision-making.
In: Intelligent Transportation Systems, Proceedings, IEEE.
Dearborn (MI), 387–392,2000
[27] DIA H. An agent-based approach to modelling driver route
choice behaviour under the influence of real-time
information. Transport Res C-Emer, 10: 331–349, 2002
[28] [28]MANDIAU R, CHAMPION A, AUBERLET J
M,Behaviour based on decision matrices for coordination
between agents in a urban traffic simulation. Appl Intell,
28: 121–138, 2008.
[29] WEI Y, HAN Y, FAN B. In Agent-oriented urban traffic
micro simulation system. In: Industrial Technology, 2008
ICIT, 2008 IEEE International Conference on. Chengdu, 1-
7, 2008.
[30] ZHANG F, LI J L, ZHAO Q X. Single-lane traffic
simulation with multi-agent system. In: Intelligent
Transportation Systems, Proceedings, IEEE. Vienna, 1183–
1187, 2005 [1] UNIT KIN. Department for Transport. Perceptions of
congestion: report on qualitative research findings. London,
UK, 2001;
[2] SALTER, R.J. and HOUNSELL, N.B. Highway Traffic
Analysis and Design. Third edn. Palgrave Macmillan,
1996.
[3] BALL, P., Critical Mass. United Kingdom: Arrow Books,
2004.
[4] NAGEL, K., and SCHRECKENBERG, M., A Cellular
Automaton Model for Freeway Traffic. Journal de Physique
I, 2, pp 2221-2229, 1992.
[5] SCHULZE, T. and FLIESS, T., 1997. Urban traffic
simulation with psycho-physical vehicle- following models,
WSC '97: Proceedings of the 29
th
conference on Winter
simulation, ACM Press pp1222-1229, 1997.
[6] EHLERT, P. and ROTHKRANTZ, L., 2001. A Reactive
Driving Agent for Microscopic Traffic Simulation, ESM
‘01: Proceedings of the 15
th
European Simulation
Multiconference, SCS Publishing house pp943-949, 2001.
[7] PARUCHURI, P. et al., 2002. Multi agent simulation of
unorganized traffic, AAMAS '02: Proceedings of the first
international joint conference on Autonomous agents and
multiagent systems, ACM Press pp176-183, 2002.
[8] LEMESSI, M., An SLX-based microsimulation model for a
two-lane road section, WSC '01: Proceedings of the 33
rd
conference on Winter simulation, IEEE Computer Society
pp1064-1071, 2001.
[9] CHOWDHURY D, SANTEN L, SCHADSCHNEIDER A.
Statistical physics of vehicular traffic and some related
systems. Phys Rep, 329: 199–329, 2000.
[10] DAGANZO C F. In traffic flow, cellular automata
kinematic waves. Transport Res B-Meth, 40: 396 –403,
2006
[11] JIANG R, WU Q S. Phase transition at an on-ramp in the
Nagel- Schreckenberg traffic flow model. Phys A, 366:
523–529, 2006.
[12] SUN T, WANG J F. A traffic cellular automata model
based on road network grids and its spatial and temporal
resolution’s influences on simulation. Simul Model Pract
Th, 15: 864–878, 2007.
Comment citer
BENHAMZA, KARIMA et al. AGENT-BASED MODELING FOR TRAFFIC SIMULATION. Courrier du Savoir, [S.l.], v. 14, mai 2014. ISSN 1112-3338. Disponible à l'adresse : >http://revues.univ-biskra.dz/index.php/cds/article/view/411>. Date de consultation : 08 jui. 2020
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