Journal of South China University of Technology(Natural Science Edition) ›› 2019, Vol. 47 ›› Issue (9): 68-73.doi: 10.12141/j.issn.1000-565X.180553

• Traffic & Transportation Engineering • Previous Articles     Next Articles

Electric Bus Area Driving Plan Preparation Considering Charging Constraints

YAO Enjian1 LU Muyang1 LIU Yuhuan1,2 YUAN Ling1,3   

  1.  1. School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China; 2. Beijing Institute of Transportation Development,Beijing 100073,China; 3. Guizhou Urban and Rural Planning and Design Institute,Guiyang 550004,Guizhou,China
  • Received:2018-11-09 Revised:2019-05-23 Online:2019-09-25 Published:2019-08-01
  • Contact: 姚恩建(1971-),男,博士,教授,主要从事运输组织理论研究. E-mail:enjyao@bjtu.edu.cn
  • About author:姚恩建(1971-),男,博士,教授,主要从事运输组织理论研究.
  • Supported by:
    Supported by the Beijing Natural Science Foundation(8171003)

Abstract: Electric vehicles are widely used for their excellent characteristics such as low pollution and high com- fort with the increasing environmental pollution of fuel vehicles and the increasing emphasis on passenger comfort by public transportation. However,due to the limitation of cruising range and charging demand,electric vehicles driving plan is rather complicated. Under the premise of multi-station regional scheduling mode,this study fully considered the occurrence and execution of charging tasks,and the optimization of total fixed cost and total opera- ting cost including electric bus and its supporting facilities. The regional driving plan was modeled,and a compound solving algorithm was designed based on genetic algorithm and greedy algorithm to solve the model. Finally,the ope- ration plan model was verified by taking some line operations in Daxing District of Beijing as an example,and com- pared with the traditional bus planning method. The results show that the total operating cost is reduced by 18. 20%.

Key words: urban traffic, operation plan model, compound solution algorithm, electric bus, charging constraint, regional scheduling

CLC Number: