Exploring the Impact of User Preferences on Shared Autonomous Vehicle Modal Split: A Multi-Agent Simulation Approach

Joseph Kamel; Reza Vosooghi; Jakob Puchinger; Feirouz Ksontini; Göknur Sirin

doi:10.1016/j.trpro.2018.12.173

Exploring the Impact of User Preferences on Shared Autonomous Vehicle Modal Split: A Multi-Agent Simulation Approach

Joseph Kamel ¹ Reza Vosooghi ² Jakob Puchinger ¹ Feirouz Ksontini ¹ Göknur Sirin ³

1 IRT SystemX - IRT SystemX

2 LGI - Laboratoire Génie Industriel - EA 2606

3 Technocentre Renault [Guyancourt]

Abstract : Shared autonomous vehicles are considered to have a transformative impact on future urban transportation and especially Shared Mobility. In order to assess the transport-related impact of this new mode, various models and simulations are under development. The majority of recently proposed simulations are based on activity-based multi-agent approaches. Thanks to the disaggregated level of data in multi-agent simulation, the traveler decision making mechanisms might be individualized according the attributes. In this paper we try to take in advantage of this granularity in order to explore the impact of user preferences on the modal split of shared autonomous vehicles. To illustrate the proposed methodology the transport system of Paris is simulated by using an activity-based multi-agent tool called MATSim. The traveler preferences toward shared autonomous vehicles use are also summarized based on the literature review.

Keywords : Multi-Agent Simulation User Preferences Shared Autonomous Vehicle

Document type :

Conference papers

Domain :

Computer Science [cs] / Modeling and Simulation

Computer Science [cs] / Multiagent Systems [cs.MA]

Humanities and Social Sciences / Methods and statistics

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https://hal.archives-ouvertes.fr/hal-01862208
Contributor : Reza Vosooghi <>
Submitted on : Monday, August 27, 2018 - 10:44:44 AM
Last modification on : Wednesday, April 10, 2019 - 11:27:30 AM
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