TY - JOUR
T1 - Optimizing the service area and trip selection of an electric automated taxi system used for the last mile of train trips
AU - Liang, Xiao
AU - Correia, Gonçalo Homem de Almeida
AU - van Arem, Bart
PY - 2016/9/1
Y1 - 2016/9/1
N2 - 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.
AB - 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.
KW - Electric automated vehicles
KW - Integer programming
KW - Last mile
KW - Taxis
UR - http://www.scopus.com/inward/record.url?scp=84971468005&partnerID=8YFLogxK
UR - http://resolver.tudelft.nl/uuid:89215bd4-b678-4f18-8c7a-fa5f27ab0d84
U2 - 10.1016/j.tre.2016.05.006
DO - 10.1016/j.tre.2016.05.006
M3 - Article
AN - SCOPUS:84971468005
SN - 1366-5545
VL - 93
SP - 115
EP - 129
JO - Transportation Research. Part E: Logistics and Transportation Review
JF - Transportation Research. Part E: Logistics and Transportation Review
ER -