Urban Traffic Signal Control Based on Distributed Constraint Satisfaction

Mizuno, Kazunori; Fukui, Yukio; Nishihara, Seiichi

doi:10.1109/hicss.2008.482

Cited by 16 publications

(8 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is an innovative approach without evidence of large scale deployment. Many proposals about distributed solutions exist: they may be agent-based, as in [13], where an agent is in charge of handling traffic lights at an intersection and performs actions with regards to the local traffic situation only, while in other cases the information coming from surrounding agents is also taken into account [14].…”

Section: Related Workmentioning

confidence: 99%

Swarm-based traffic lights policy selection

Belletti

Bonfietti

Milano

et al. 2014

Proceedings of the Fourth ACM International Symposium on Development and Analysis of Intelligent Vehicular Networks and Applica

View full text Add to dashboard Cite

This paper presents a Traffic Lights control system, inspired by Swarm intelligence methodologies, in which every intersection controller makes independent decisions to pursue common goals and is able to improve global traffic performance. The solution is low cost and widely applicable to different urban scenarios. This work is developed within the COLOMBO European project. Control methods are divided into macroscopic and microscopic control level methods. The former react to macroscopic key figures such as mean congestion length and mean traffic density and acts on the signal program choice or the development of the frame signal program. The latter include changes at short notice based on changes in the traffic flow: they include methods for signal program adaptation and development. The developed system has been widely tested on synthetic benchmarks with promising results.

show abstract

Section: Related Workmentioning

confidence: 99%

Swarm-based traffic lights policy selection

Belletti

Bonfietti

Milano

et al. 2014

Proceedings of the Fourth ACM International Symposium on Development and Analysis of Intelligent Vehicular Networks and Applica

View full text Add to dashboard Cite

show abstract

“…Most of the proposals are based on the introduction of multi-agent concepts and processes to improve intersection management i.e. multi-agent learning [5], reactive agents [10], cooperation [18], [21], [36], [42], multi-agent simulation [29] or distributed constraint satisfaction problem [33]. For example, in [42], the regulation system is related to traffic assignment using negotiation between vehicles and intersections.…”

Section: Introductionmentioning

confidence: 99%

Bimodal traffic regulation system: A multi-agent approach

Balbo

Bhouri

Pinson

2016

WEB

View full text Add to dashboard Cite

Abstract. The development of surface public transportation networks is a major issue in terms of ecology, economy and society. Their quality in term of punctuality and passengers services (regularity between buses) should be improved in order to improve their attractiveness. To do so, cities often use regulation systems at intersections that grant priority to buses. The problem is that each transportation mode has its own characteristics and a dedicated decision support system. Therefore, most of them hardly take into account both public transport vehicles such as buses and private vehicle traffic. This paper proposes a multi-agent model that supports bimodal regulation and preserves monomodal regulation. The objective is to improve global traffic, to reduce bus delays and to improve bus regularity in congested areas of the network. In our approach, traffic regulation is obtained thanks to communication, collaboration and negotiation between heterogeneous agents. We tested our strategy on a complex network of nine junctions. The results of the simulation are presented.

show abstract

“…The application of a multi-agent system is increasingly present in the field of traffic regulation. For example, [6], [7], [8] and [9] resolved the problem of traffic lights coordination on the thoroughfares of the route network. [10], [11] and [12] tackled the issue of how to control traffic lights at junctions in order to improve circulation.…”

Section: Introductionmentioning

confidence: 99%

A multi-agent system to regulate urban traffic: Private vehicles and public transport

Bhouri¹,

Haciane

Balbo

2010

13th International IEEE Conference on Intelligent Transportation Systems

View full text Add to dashboard Cite

This paper proposes a strategy of urban bimodal traffic regulation based on multi-agent modelization. The objective of this strategy is to work on the duration of the traffic lights to regulate traffic for transport modes that include private and public transport vehicles, principally the bus. The model respects the method of bus regulation with a route agent, who supervises all the vehicles on the route while ensuring that they respect the regular time intervals between them. Bus priority is granted by reserving a green stage for buses as soon as they enter the route in question. This stage is prioritised for those buses running late, and whose priority does not lead to deterioration in the regularity of the time intervals between them and the preceding vehicle; an interval they must respect at bus stops. Regulation is obtained thanks to communication, collaboration and negotiation between the agents; the programming is developed under the JADE (Java Agent Development Framework) platform.

show abstract

Urban Traffic Signal Control Based on Distributed Constraint Satisfaction

Cited by 16 publications

References 10 publications

Swarm-based traffic lights policy selection

Swarm-based traffic lights policy selection

Bimodal traffic regulation system: A multi-agent approach

A multi-agent system to regulate urban traffic: Private vehicles and public transport

Contact Info

Product

Resources

About