A Review of the Applications of Agent Technology in Traffic and Transportation Systems

Chen, Bin; Cheng, Harry H.

doi:10.1109/tits.2010.2048313

Cited by 494 publications

(196 citation statements)

References 96 publications

Supporting

Mentioning

182

Contrasting

Unclassified

Order By: Relevance

“…The work of [8] shows a review about this kind of solutions, where we are going to pay special attention to those which interact with traffic lights.…”

Section: Related Workmentioning

confidence: 99%

Intelligent Traffic Light Management using Multi-Behavioral Agents

Cruz-Piris

Rivera

Marsa-Maestre

et al. 2017

Proceedings XIII Jornadas De Ingenieria Telematica - JITEL2017

View full text Add to dashboard Cite

Abstract-One of the biggest challenges in modern societies is to solve vehicular traffic problems. In this scenario, our proposal is to use a Multi-Agent Systems (MAS) composed of three types of agent: traffic light management agents, traffic jam detection agents, and agents that control the traffic lights at an intersection. This third type of agent is able to change its behaviour between what we have called a selfish mode (the agent will try to influence the other neighbour agents of its type to achieve its goal) or an altruistic mode (the agent will take into consideration the other neighbour selfish agents indications). To validate our solution, we have developed a MAS emulator which communicates with the Simulation of Urban MObility (SUMO) traffic simulator using the Traci tool to realize the experiments in a realistic environment. The obtained results show that our proposal is able to improve other existing solutions such as conventional traffic light management systems (static or dynamic) in terms of reduction of vehicle trip duration.

show abstract

“…The work of [8] shows a review about this kind of solutions, where we are going to pay special attention to those which interact with traffic lights.…”

Section: Related Workmentioning

confidence: 99%

Intelligent Traffic Light Management using Multi-Behavioral Agents

Cruz-Piris

Rivera

Marsa-Maestre

et al. 2017

Proceedings XIII Jornadas De Ingenieria Telematica - JITEL2017

View full text Add to dashboard Cite

show abstract

“…Finding the optimal traffic signal timings is a non-trivial operation for a number of reasons: -Traffic control is geographically distributed, takes place in a dynamic environment and the interactions amongst its components are highly complex [6]. -Traffic signal timings function under rigid temporal constraints which may be represented as discrete variables.…”

Section: Introductionmentioning

confidence: 99%

An Intersection-Centric Auction-Based Traffic Signal Control Framework

Raphael¹,

Sklar²,

Maskell³

2017

Understanding Complex Systems

View full text Add to dashboard Cite

Vehicular traffic on urban road networks is of great interest to those who monitor air quality. Combustion emissions from transport vehicles are a major contributor of air pollution. More specifically, the release of fine particulate matter which has been linked to premature deaths. Travel and idle time are two factors that influence the amount of pollution generated by traffic. Reducing idle and travel times would have a positive impact on air quality. Thus, it is increasingly crucial to manage intersections effectively, particularly in congested cities and across a range of different types of traffic conditions. A variety of market-based multi-agent traffic management mechanisms have been proposed to improve traffic flow. In many of these systems drivers "pay" to gain access to favourable road ways (e.g., minimise travel time). A major obstacle in adopting many of these mechanisms is that the necessary communication infrastructure does not yet exist. They rely on vehicle-toinfrastructure and/or vehicle-to-vehicle communications. In this work, we propose a market-based mechanism which relies on existing technology (and in some places this technology is already in use). Experimental results show that our market-based approach is better at reducing idle and travel times as compared to fixed-time signal controllers.

show abstract

“…Multi-agent network games have become a promising interdisciplinary research area with important links to many application fields such as transportation networks, supply chain management, web services, production management, etc [1], [2]. This paper stands at the crossroad of two disciplines, namely multi-agent systems and social networks.…”

Section: Introductionmentioning

confidence: 99%

Finding stable flows in multi-agent networks under an equal-sharing policy

Fakhfakh

Briand

Huguet

2016

Electronic Notes in Discrete Mathematics

View full text Add to dashboard Cite

A Multi-Agent network flow problem is addressed in this paper where a set of transportation-agents can control the capacities of a set of routes. Each agent incurs a cost proportional to the chosen capacity. A third-party agent, a customer, is interesting in maximizing the product flow transshipped from a source to a sink node through the network. He offers a reward proportional to the flow value, which is shared equally among the transportation-agents. We address the problem of finding a stable strategy (i.e., a Nash Equilibrium) which maximizes the network flow. We show that this problem, already proved to be NP-hard, can be modeled and solved using mixed integer linear programming (MILP).

show abstract

A Review of the Applications of Agent Technology in Traffic and Transportation Systems

Cited by 494 publications

References 96 publications

Intelligent Traffic Light Management using Multi-Behavioral Agents

Intelligent Traffic Light Management using Multi-Behavioral Agents

An Intersection-Centric Auction-Based Traffic Signal Control Framework

Finding stable flows in multi-agent networks under an equal-sharing policy

Contact Info

Product

Resources

About