文章摘要
高俊杰,崔晓敏,赵鹏,姚宝珍.基于需求预测的单向共享电动汽车车辆调度方法[J].,2019,59(6):648-655
基于需求预测的单向共享电动汽车车辆调度方法
Scheduling method for one-way electric car-sharing based on demand forecasting
  
DOI:10.7511/dllgxb201906014
中文关键词: 共享电动汽车  需求预测  长短期记忆神经网络  车辆调度规划
英文关键词: electric car-sharing  demand forecasting  long short term memory neural network  vehicle scheduling planning
基金项目:辽宁省博士科研启动基金资助项目(20170520365);国家自然科学基金资助项目(51578112);中央高校基本科研业务费专项资金资助项目(DUT18JC03).
作者单位
高俊杰,崔晓敏,赵鹏,姚宝珍  
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中文摘要:
      用户出行需求的不均衡性和潮汐性造成站点之间的车辆库存不平衡,阻碍了单向共享电动汽车行业的发展.在充分考虑用户实际需求的随机性和时效性的基础上,提出一种单向共享电动汽车车辆调度方法.其采用长短期记忆神经网络对站点车辆需求进行预测,进而建立以调度成本、库存成本和潜在损失收益均最小的多目标调度模型,并采用遗传模拟退火混合算法求最优解.实证研究表明了该方法的合理性和优越性.
英文摘要:
      The tides and imbalances of the travel demand lead to the imbalance of vehicle inventory among electric vehicle stations, which hinders the development of one-way electric car-sharing industry. Fully considering the randomness and timeliness of actual travel demand, a scheduling method for one-way electric car-sharing is proposed. The long short term memory neural network is applied to forecast the vehicle demands of the stations, and a multi-objective scheduling model with minimum scheduling cost, minimum inventory cost and minimum potential loss profit is built, then the hybrid genetic and simulated annealing algorithm is applied to find the optimal solution. The rationality and superiority of the method are verified by the empirical study.
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