Abstract
This paper proposes a bimodal urban traffic control strategy based on a multi-agent model. We call bimodal traffic a traffic which takes into account private vehicles and public transport vehicles such as buses. The objective of this research is to improve global traffic and reduce the time spent by buses in traffic jams so that buses cope with their schedule. Reducing bus delays is done by studying time length of traffic lights and giving priority to buses, more precisely to buses running late. Regulation is obtained thanks to communication, collaboration and negotiation between the agents of the system. The implementation was done using the JADE platform. We tested our strategy on a small network of six junctions. The first results of the simulation are presented. They show that our MAS control strategy improves both bus traffic and private vehicle traffic, decreases bus delays and improves its regularity compared to a classical strategy called fixed-time control.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Balbo, F., Pinson, S.: Using intelligent agents for Transportation Regulation Support System design. Transportation Research Part C: Emerging Technologies 18(1), 140–156 (2010)
Balbo, F., Pinson, S.: Dynamic modeling of a disturbance in a multi-agent system for traffic regulation. Decision Support Systems 41(1), 131–146 (2010)
Ana, L.: Opportunities for multiagent systems and multiagent reinforcement learning in traffic control. Autonomous Agents and Multi-Agent Systems 18(3), 342–375 (2009)
Bhouri, N.: Constrained Optimal Control strategy for multimodal urban traffic network. In: IFAC Workshop on Control Applications of Optimization (CAO 2009), Finland (2009)
Bhouri, N., Lotito, P.: An intermodal traffic control strategy for private vehicle and public transport. In: 10th Euro Working Group on Transportation, Poznan, Poland (2005)
Bhouri, N., Haciane, S., Balbo, F.: A Multi-Agent System to Regulate Urban Traffic: Private Vehicles and Public Transport. In: 13th IEEE–ITSC, Portugal, pp. 1575–1581 (2010)
Cazenave, T., Balbo, F., Pinson, S.: Monte-Carlo Bus Regulation. In: 12th Int. IEEE ITSC 2009, St. Louis, MO, USA, pp. 340–345 (2009)
De Oliveira, D., Bazzan, A.L., Lesser, V.: Using Cooperative Mediation to Coordinate Traffic Lights: a case study. In: AAMAS 2005, New York, NY, USA, pp. 463–470 (2005)
Ferreira, E.D., Subrahmanian, E., Manstetten, D.: Intelligent agents in decentralized traffic control. In: IEEE Intelligent Transp. Systems Conf. IEEE-ITSC 2001, Oakland (CA), USA, August 25-29, pp. 705–709 (2001)
France, J., Ghorbani, A.: A multiagent system for optimizing urban traffic. In: Proceedings of the IEEE/WIC Inter. Conf. on IAT, pp. 411–414. IEEE Computer Society, Washington, DC (2003)
Kachroudi, S., Bhouri, N.: A multimodal traffic responsive strategy using particle swarm optimization. In: 12th IFAC Symposium, Redondo Beach, California, USA (2009)
Mailler, R., Lesser, V.: Solving distributed constraint optimization problems using cooperative mediation. In: AAMAS 2004, pp. 438–445. IEEE Computer Society, Los Alamitos (2004)
Mizuno, K., Fukui, Y., Nishihara, S.: Urban Traffic Signal Control Based on Distributed Constraint Satisfaction. In: Proceedings of the 41st International Conference on System Sciences, Hawaii, p. 65 (2008)
Roozemond, D.A.: Using intelligent agents for pro-active, real-time urban intersection control. European Journal for Operational Research 131, 293–301 (2001)
Vasirani, M., Ossowski, S.: A market-inspired approach to reservation-based urban road traffic management. In: AAMAS 2009, vol. 1, pp. 617–624 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bhouri, N., Balbo, F., Pinson, S. (2011). Towards Urban Traffic Regulation Using a Multi-Agent System. In: Demazeau, Y., Pěchoucěk, M., Corchado, J.M., Pérez, J.B. (eds) Advances on Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 88. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19875-5_23
Download citation
DOI: https://doi.org/10.1007/978-3-642-19875-5_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19874-8
Online ISBN: 978-3-642-19875-5
eBook Packages: EngineeringEngineering (R0)