Reference
F. Acquaviva, A. Núñez, D. Di Paola, A. Rizzo, and B. De
Schutter, "Customer-oriented optimal vehicle assignment in mobility-on-demand
systems,"
Proceedings of the 2015 IEEE 18th International
Conference on Intelligent Transportation Systems, Las Palmas de Gran
Canaria, Spain, pp. 2849-2854, Sept. 2015.
Abstract
In this paper, we introduce a novel optimization framework for a
station-to-door mobility-on-demand system that aims at ensuring an efficient
transportation service for the daily mobility of passengers in densely
populated urban areas. We propose a mixed integer linear programming approach
that maximizes both the customers' satisfaction and the provider's revenues,
keeping at the same time the number of vehicles in each station within given
bounds towards the improvement of system balancing. The proposed
customer-oriented approach aims at meeting as many customer requests as
possible, while maximizing the provider revenues and reducing the customers'
impatience, thus increasing their satisfaction. This implies, in turn, a better
reputation for the service provider. The performance of the proposed approach
is assessed through an extensive Monte Carlo simulation campaign. In
particular, through the analysis of different performance indices, we compare
the optimal solution of the proposed approach with the optimal solution
achieved by a previously presented approach based on the Profitable Tour
Problem.
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BibTeX
@inproceedings{AcqNun:15-027,
author = {Acquaviva, Francesco and N{\'{u}}{\~{n}}ez, Alfredo and Di
Paola, Donato and Rizzo, Alessandro and De Schutter, Bart},
title = {Customer-Oriented Optimal Vehicle Assignment in
Mobility-on-Demand Systems},
booktitle = {Proceedings of the 2015 IEEE 18th International Conference on
Intelligent Transportation Systems},
address = {Las Palmas de Gran Canaria, Spain},
pages = {2849--2854},
month = sep,
year = {2015}
}