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  Mean field theory of demand responsive ride pooling systems

Herminghaus, S. (2019). Mean field theory of demand responsive ride pooling systems. Transportation Research Part A: Policy and Practice, 119, 15-28. doi:10.1016/j.tra.2018.10.028.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-7506-4 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-7508-2
Genre: Journal Article

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 Creators:
Herminghaus, Stephan1, Author              
Affiliations:
1Group Collective phenomena far from equilibrium, Department of Dynamics of Complex Fluids, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063306              

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 Abstract: The dynamics of demand responsive ride pooling (DRRP) systems is considered in a mean-field framework. The relevant dimensionless quantities determining the performance and viability of the system are identified. In the presence of an already established dominant market participant with comparable service quality (like, e.g., the private car), the mutual interaction of the actors (i.e., the customers sharing rides) by virtue of the route assignment algorithm gives rise to a discontinuous transition between two strongly different modes of operation. One of them represents the typical (unfavorable) performance of current ride pooling systems, while the other represents a new mode of operation in which virtually all customers use DRRP.

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Language(s): eng - English
 Dates: 2018-11-102019-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.tra.2018.10.028
 Degree: -

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Title: Transportation Research Part A: Policy and Practice
Source Genre: Journal
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Publ. Info: -
Pages: - Volume / Issue: 119 Sequence Number: - Start / End Page: 15 - 28 Identifier: -