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Towards Dynamic Coalition Formation for Intelligent Traffic Management

  • Jeffery Raphael
  • Elizabeth I. Sklar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10767)

Abstract

Adaptive traffic management aims to adjust the timing of signals at road intersections to ensure smooth travel of vehicles through urban environments. A popular commercial system for handling traffic in this way is SCOOT (Split, Cycle and Offset Optimisation Technique), which involves reading data from sensors embedded in roadways to capture real-time information about traffic volume and making small changes to traffic signal timing in response. SCOOT operates in regions of connected intersections, but the sets of intersections in a region are fixed and the intersections do not communicate with each other. The research presented here takes a multi-agent approach whereby intersections work together in “coalitions” to improve traffic flow, using a market-based mechanism and forming coalitions dynamically as traffic conditions change over time. Experimental results show that this dynamic coalition approach performs better than SCOOT in several types of traffic conditions.

Keywords

Multi-agent simulation Traffic management Mechanism design 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Department of InformaticsKing’s College LondonLondonUK

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