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Optimizing the service area and trip selection of an electric automated taxi system used for the last mile of train trips |
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| Affiliation: | 1. ETH Zürich, Institute for Traffic Planning and Systems, Stefano-Franscini-Platz 5, 8094 Zürich, Switzerland;1. Department of Civil, Environmental, and Geo- Engineering, 500 Pillsbury Drive S.E., Minneapolis, MN 55455-0116, United States;2. Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin, 301 E. Dean Keeton St. Stop C1761, Austin 78712-1172, TX, United States |
| Abstract: | We propose two integer programming models for optimizing an automated taxi (AT) system for last mile of train trips. Model S1: trip reservations are accepted or rejected by the operator according to the profit maximization; model S2: any reservation on a selected zone by the model must be satisfied. Models were applied to a case-study. Results indicate that fleet size influences the profitability of the taxi system: a fleet of 40 ATs is optimal in S1 and 60 ATs in S2. Having electric ATs constrains the system for small fleets because ATs will not have time for charging. |
| Keywords: | Electric automated vehicles Taxis Last mile Integer programming |
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