A survey of models and algorithms for optimizing shared mobility

被引：182
|
作者：
Mourad, Abood [1 ,2 ]
Puchinger, Jakob [1 ,2 ]
Chu, Chengbin [3 ]
机构：
[1] Univ Paris Saclay, Cent Supelec, Lab Genie Ind, Gif Sur Yvette, France
[2] Inst Rech Technol SystemX, Palaiseau, France
[3] Univ Paris Est, ESIEE Paris, Dept Ingn Syst, Noisy Le Grand, France
来源：
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL | 2019年 / 123卷
关键词：
Optimization; Passenger and freight transportation; Prearranged and real-time ridesharing; Exact and heuristic methods; DIAL-A-RIDE; LARGE NEIGHBORHOOD SEARCH; VEHICLE-ROUTING PROBLEMS; OF-THE-ART; AUTONOMOUS VEHICLES; AUTOMATED VEHICLES; PROBLEM OPTIMIZATION; DELIVERY PROBLEM; TIME WINDOWS; TABU SEARCH;
D O I：
10.1016/j.trb.2019.02.003
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
The rise of research into shared mobility systems reflects emerging challenges, such as rising traffic congestion, rising oil prices and rising environmental concern. The operations research community has turned towards more sharable and sustainable systems of transportation. Shared mobility systems can be collapsed into two main streams: Those where people share rides and those where parcel transportation and people transportation are combined. This survey sets out to review recent research in this area, including different optimization approaches, and to provide guidelines and promising directions for future research. It makes a distinction between prearranged and real-time problem settings and their methods of solution, and also gives an overview of real-case applications relevant to the research area. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码：323 / 346
页数：24
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