Abstract
International audience; 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.
Document type: Conference object
Full document
Original document
The different versions of the original document can be found in:
- http://dx.doi.org/10.1016/j.trpro.2018.12.173 under the license http://creativecommons.org/licenses/by-nc-nd/4.0
- https://doi.org/10.1016/j.trpro.2018.12.173 under the license cc-by-nc-nd
- https://api.elsevier.com/content/article/PII:S235214651830588X?httpAccept=text/plain,
- http://dx.doi.org/10.1016/j.trpro.2018.12.173 under the license https://www.elsevier.com/tdm/userlicense/1.0/
Document information
Published on 01/01/2018
Volume 2018, 2018
DOI: 10.1016/j.trpro.2018.12.173
Licence: Other
Share this document
Keywords
claim authorship
Are you one of the authors of this document?