Imperial College London
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DrMichel-AlexandreCardin

Faculty of Engineering, Dyson School of Design Engineering

Senior Lecturer in Computational Aided Engineering
 
 
 
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Contact

 

+44 (0)20 7594 1893m.cardin Website CV

 
 
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Location

 

Royal College of Science Observatory Building, Room 1M03Dyson BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Deng:2018:10.1016/j.trc.2017.11.018,
author = {Deng, Y and Cardin, M-A},
doi = {10.1016/j.trc.2017.11.018},
journal = {Transportation Research Part C: Emerging Technologies},
pages = {407--424},
title = {Integrating operational decisions into the planning of one-way vehicle-sharing systems under uncertainty},
url = {http://dx.doi.org/10.1016/j.trc.2017.11.018},
volume = {86},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This study proposes a systematic approach for planning and operating a one-way vehicle-sharing system (VSS) under demand uncertainty. It investigates the distribution of parking spaces and vehicles considering stochastic demand and interactions with the major operational decisions, namely vehicle redistribution activities. An optimization model is formulated that aims to determine the best deployment strategy for minimizing overall cost while achieving a certain level of service (LoS). Then, a simulation-based solution approach based on a discrete-event simulator (DES), Particle Swarm Optimization (PSO), and Optimal Computing Budget Allocation (OCBA) is devised to solve the mathematical model. The methodology is then applied to a car-sharing system in Singapore. Results demonstrate that considering rebalancing activities is imperative in making deployment strategies. The case study also provides managerial insights regarding designing and operating one-way VSS.
AU  - Deng,Y
AU  - Cardin,M-A
DO  - 10.1016/j.trc.2017.11.018
EP  - 424
PY  - 2018///
SN  - 0968-090X
SP  - 407
TI  - Integrating operational decisions into the planning of one-way vehicle-sharing systems under uncertainty
T2  - Transportation Research Part C: Emerging Technologies
UR  - http://dx.doi.org/10.1016/j.trc.2017.11.018
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000425566000024&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/65575
VL  - 86
ER  -
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