吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (6): 1688-1695.doi: 10.13229/j.cnki.jdxbgxb201706003

• Orginal Article • Previous Articles     Next Articles

Electric vehicle routing problem with charging and dynamic customer demands

SHAO Sai, BI Jun, GUAN Wei   

  1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
  • Received:2016-09-01 Online:2017-11-20 Published:2017-11-20

Abstract: To respond to dynamic customer demands, a route updating strategy with updating time is proposed to online adjust the routes. Moreover, a charging model is developed to allocate the charging stations to the routes with charging demands in transit. A case study is given to demonstrate the simulation process of the route updating strategy. In addition, the parameter analysis based on the running time and the extra cost is presented. The results show that the proposed strategy has less updating time and can quickly respond to dynamic customer demands and reduce cost. the strategy running time and cost increase with the updating time, the dynamic costumer demands and the charging times. The longest strategy running time is within the acceptable range, which indicates that the strategy is feasible and practicable.

Key words: engineering of communication and transportation system, electric vehicle, vehicle routing problem, dynamic customer demands, route updating strategy

CLC Number: 

  • U491
[1] GB/T18354 2001.物流术语[S].
[2] Sevgi E, Miller-hooks E. A green vehicle routing problem[J]. Transportation Research Part E: Logistics & Transportation Review,2012,48:100-114.
[3] Schneider M, Stenger A, Goeke D. The electric vehicle-routing problem with time windows and recharging stations[J]. Transportation Science,2014,48(4):500-520.
[4] Conrad R G, Figliozzli M A. The recharging vehicle routing problem[EB/OL].[2016-08-26].http//web.cecs.pdx.edu/~maf/Conference_Proceedings/2011_The_Recharging_Vehicle_Routing_Problem.pdf.
[5] Worley O, Klabjan D, Sweda T M. Simultaneous vehicle routing and charging station siting for commercial electric vehicles[C]//2012 IEEE International Electric Vehicle Conference,Greenville,SC,USA,2012:1-3.
[6] 刘华旭. 基于电动汽车技术特征的共同配送调度优化研究[D]. 北京:北京交通大学交通运输学院,2012.
Liu Hua-xu. Joint distribution scheduling optimization based on the features of electric vehicle[D]. Beijing: School of Traffic and Transportation, Beijing Jiaotong University,2012.
[7] 高升. 基于电动汽车的带时间窗的路径优化问题研究[D].大连:大连海事大学交通运输管理学院,2015.
Gao Sheng. Electric vehicle routing optimization problem with time window[D]. Dalian: College of Traffic and Transportation Management, Dalian Maritime University,2015.
[8] Psaraftis H N. Vehicle Routing: Methods and Studies[M]. Amsterdam: Holland,1988.
[9] Pillac V, Gendreau M, Guéret C, et al. A review of dynamic vehicle routing problems[J]. European Journal of Operational Research,2013,225(1):1-11.
[10] 熊浩. 动态需求车辆路径问题实时优化策略研究[M]. 北京:经济科学出版社,2014.
[11] 陆琳. 不确定信息车辆路径问题及其智能算法研究[M]. 北京:科学出版社,2010.
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