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2018 | OriginalPaper | Buchkapitel

Towards Dynamic Coalition Formation for Intelligent Traffic Management

verfasst von : Jeffery Raphael, Elizabeth I. Sklar

Erschienen in: Multi-Agent Systems and Agreement Technologies

Verlag: Springer International Publishing

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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.

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Vorheriges Kapitel Combining Self-Organisation with Decision-Making and Planning

Nächstes Kapitel A Multi-agent Approach for Composing Negotiation Items in a Reverse Logistic Virtual Market

In SCOOT, traffic volume is measured through induction loop sensors buried in the road. We assume the existence of these sensors in our method.

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Titel: Towards Dynamic Coalition Formation for Intelligent Traffic Management
verfasst von: Jeffery Raphael
Elizabeth I. Sklar
Verlag: Springer International Publishing
Buch: Multi-Agent Systems and Agreement Technologies
Print ISBN: 978-3-030-01712-5

Electronic ISBN: 978-3-030-01713-2

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-030-01713-2_28

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