Design of an Efficient Matching-Based Relocation Scheme for Electric Vehicle Sharing Systems

This paper designs an efficient object relocation scheme for electric vehicle sharing systems and measures its performance, aiming at accelerating the deployment of electric vehicles having better energy efficiency but unaffordable cost for personal ownership. For the given relocation vector, namely, the desired number of vehicles in each station after the completion of relocation, the relocation planner decides the destination of each vehicle in such a way to minimize the total moving distance. As a matching problem between two parties, one for EVs in overflow stations and the other for underflow stations, the proposed scheme adapts the well-known stable marriage problem solver. The performance measurement result obtained by a prototype implementation reveals that the relocation distance can be kept below 100 km when the number of EVs is 80 for the given service scenarios.

[1]  Farrokh Albuyeh,et al.  Grid of the future , 2009, IEEE Power and Energy Magazine.

[2]  Lei Xue,et al.  User-Based Vehicle Relocation Techniques for Multiple-Station Shared-Use Vehicle Systems , 2004 .

[3]  Alessandro Farina,et al.  A new shared vehicle system for urban areas , 2012 .

[4]  António Pais Antunes,et al.  Optimization Approach to Depot Location and Trip Selection in One-Way Carsharing Systems , 2012 .

[5]  Ngoc Thanh Nguyen,et al.  Intelligent Information and Database Systems , 2014, Lecture Notes in Computer Science.

[6]  Weixiang Li,et al.  Interoperability Options for Shared-Use Vehicle Systems , 2004 .

[7]  Hye-Jin Kim,et al.  Analysis Framework for Electric Vehicle Sharing Systems Using Vehicle Movement Data Stream , 2012, APWeb Workshops.

[8]  Hye-Jin Kim,et al.  Energy Consumption Scheduler for Demand Response Systems in the Smart Grid , 2012, J. Inf. Sci. Eng..

[9]  Qiang Meng,et al.  A decision support system for vehicle relocation operations in carsharing systems , 2009 .

[10]  Pankoo Kim,et al.  A Telematics Service System Based on the Linux Cluster , 2007, International Conference on Computational Science.

[11]  Dongwook Lee,et al.  Comparative Performance Analysis of Relocation Policies for Electric Vehicle Sharing Systems , 2012, FGIT-MulGraB/BSBT/IUrC.

[12]  Hye-Jin Kim,et al.  Renewable Energy and Power Management in Smart Transportation , 2012, ACIIDS.

[13]  Kyuseok Shim,et al.  Web Technologies and Applications , 2014, Lecture Notes in Computer Science.

[14]  Jack Dongarra,et al.  Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27 - 30, 2007, Proceedings, Part III , 2007, ICCS.