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2022 | OriginalPaper | Buchkapitel

Exploration of Model Coupling Strategies in a Hybrid Agent-Based Traffic Simulation

verfasst von : Jean-François Erdelyi, Frédéric Amblard, Benoit Gaudou, Elsy Kaddoum, Nicolas Verstaevel

Erschienen in: Multi-Agent-Based Simulation XXII

Verlag: Springer International Publishing

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Abstract

Traffic simulation is a tool used by urban planners to assess the impact of new urban designs and public policies on mobility. Over the years, numerous traffic models have been proposed, each model offering different levels of details and performances. Multi-level model coupling is an interesting approach to combine the advantages of complementary representations while limiting their drawbacks. In this paper, we design and evaluate the performances of hybrid traffic models combining a microscopic model (IDM) with a mesoscopic model (event-driven and queue-based). The results show that microscopic models have more diversity in terms of behaviors but reduce the vehicle average speed and mesoscopic models are more efficient in terms of computational time but display a higher vehicle speed. Their hybridization then enables to find a balance between scalability and the variety of the observed behaviors.

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Vorheriges Kapitel Changing Perspectives: Adaptable Interpretations of Norms for Agents

Nächstes Kapitel The Recruitment Game: An Agent-Based Simulation

In the following, we will use “meso road” (resp. “micro road”) to refer a road controlled by a mesoscopic (resp. microscopic) model.

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Titel: Exploration of Model Coupling Strategies in a Hybrid Agent-Based Traffic Simulation
verfasst von: Jean-François Erdelyi
Frédéric Amblard
Benoit Gaudou
Elsy Kaddoum
Nicolas Verstaevel
Verlag: Springer International Publishing
Buch: Multi-Agent-Based Simulation XXII
Print ISBN: 978-3-030-94547-3

Electronic ISBN: 978-3-030-94548-0

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-030-94548-0_12

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