Multiagent system architecture and method for group-oriented traffic coordination

Next-generation traffic management systems will make use of on-board intelligence and communication capabilities of vehicles and traffic infrastructure. In this paper, we investigate a multiagent approach allowing vehicle agents to form groups in order to co-ordinate their speed and lane choices. Ou...

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Bibliographic Details
Main Authors: Gormer, J., Muller, J. P.
Format: Conference Proceeding
Language:English
Subjects:
Acceleration
Delay
MAS cooperation
MAS coordination
Mathematical model
Mobile robots
Multiagent systems
Throughput
traffic vehicle grouping
Vehicles
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Summary:Next-generation traffic management systems will make use of on-board intelligence and communication capabilities of vehicles and traffic infrastructure. In this paper, we investigate a multiagent approach allowing vehicle agents to form groups in order to co-ordinate their speed and lane choices. Our hypothesis is that a decentralized approach based on a co-operative driving method can contribute to higher and smoother traffic flow, leading to higher speeds and less delays. Our focus is on automated vehicle decision models. We develop a group-oriented driving method with vehicle agents that perceive their environment and exchange information. The paper proposes decentralized dynamic vehicle grouping algorithm, a conflict detection and global coordination method, and defines individual driving strategies for vehicles. For validation, we compare our method with a driving method implemented in the commercial traffic simulation platform AIMSUN. Experimental results indicate that group formation and group coordination methods can improveme traffic network throughput.
ISSN:2150-4938
2150-4946
DOI:10.1109/DEST.2012.6227949