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Title: Simulation and optimization of one-way car-sharing systems with variant relocation policies
Accession Number: 01551101
Record Type: Component
Availability: Transportation Research Board Business Office 500 Fifth Street, NW Abstract: Car-sharing is a transportation service consisting of vehicles distributed over an urban area that any driver registered to the system can use. This paper focuses on one-way electric car-sharing systems. The success of such systems relies strongly on operations management and attractive rental conditions. Immediate availability and possibility of reservation in advance are key points. This induces strong constraints for the operator especially when some stations attract more trips as a destination than as an origin and vice versa. These imbalances must be corrected by performing vehicle relocations in a smart way to maximize vehicle availability and minimize operator’s costs. In order to understand the demand patterns and explore relocation possibilities, an event-based simulator is built in C#. The authors develop a new relocation strategy to minimize the demand loss due to vehicle unavailability. Implemented in parallel to rentals, it relies on the regular update of the relocation plans based on an optimization framework which utilizes the current state of the system and partial knowledge of near-future demand. This strategy is compared to three other strategies on a case study based on real data from Nice, France. They show that it maximizes the number of served demand and succeeds in keeping the system in a balanced state contrary to the other strategies considered.
Supplemental Notes: This paper was sponsored by TRB committee AP020 Emerging and Innovative Public Transport and Technologies. Alternate title: Simulation and Optimization of One-Way Carsharing Systems with Variant Relocation Policies.
Monograph Title: Monograph Accession #: 01550057
Report/Paper Numbers: 15-1907
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Repoux, MartinBoyaci, BurakGeroliminis, NikolasPagination: 19p
Publication Date: 2015
Conference:
Transportation Research Board 94th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References
TRT Terms: Geographic Terms: Subject Areas: Operations and Traffic Management; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2015 Paper #15-1907
Files: TRIS, TRB, ATRI
Created Date: Dec 30 2014 12:41PM
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