Title | ||
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Simulated Annealing Approach for Solving the Fleet Sizing Problem in On-Demand Transit System. |
Abstract | ||
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Over the last years, operating expenses for on demand transit system have been increased as the demand for this type of transportation service has expanded. The on-demand transit system that we studied consists on moving a set of driverless electric taxi with bounded battery capacity. Many management algorithms have been proposed to improve the efficiency of such a system. In this paper, we propose to deal with the problem of determining the optimal fleet sizing of driverless electric taxis under a known transportation demand. We present a Simulated Annealing to solve the proposed problem. Evidence for the efficiency of our algorithm is proposed where computational results prove that our algorithm provide good quality solutions. |
Year | DOI | Venue |
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2015 | 10.1007/978-3-319-29504-6_22 | PROCEEDINGS OF THE SECOND INTERNATIONAL AFRO-EUROPEAN CONFERENCE FOR INDUSTRIAL ADVANCEMENT (AECIA 2015) |
Keywords | DocType | Volume |
Routing,Simulated annealing,Fleet sizing,On-demand transit system,Transportation | Conference | 427 |
ISSN | Citations | PageRank |
2194-5357 | 0 | 0.34 |
References | Authors | |
0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Olfa Chebbi | 1 | 41 | 7.22 |
Jouhaina Chaouachi | 2 | 0 | 1.35 |