Optimizing the service area and trip selection of an electric automated taxi system used for the last mile of train trips

Authors

Xiao Liang
Gonçalo Homem de Almeida Correia
Bart van Arem

Document Type

Journal Article

Publication Date

2016

Subject Area

mode - rail, mode - taxi, economics - profitability, operations - service span, technology - automatic vehicle monitoring

Keywords

Electric automated vehicles, Taxis, Last mile, Integer programming

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.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

Transportation Research Part E Home Page:

http://www.sciencedirect.com/science/journal/13665545

Recommended Citation

Liang, X., Correia, G.H.A., & van Arem, B. (2016). Optimizing the service area and trip selection of an electric automated taxi system used for the last mile of train trips. Transportation Research Part E: Logistics and Transportation Review, Vol. 93, pp. 115–129.