原文题目：
作者：
樊冬明，冯强，张爱波，刘淼淼，任羿，王云鹏
原文链接：
期刊信息：
创新点
(1) 考虑电动公交车电池的非线性能耗，提出了适用于多条电动公交车的调度和排程方法。
(2) 考虑充电站充电能力和多条公交线路的关联影响，提出了一种改进的粒子群优化算法，给出实际运行情况下的优化解。
摘要
电动公交车的时间表和调度对于可持续城市交通系统至关重要。大多数现有研究主要集中在假设电池能耗与距离成线性关系的前提下，对单条电动公交车线路的调度和排程问题进行研究。本文研究了考虑电动公交车非线性能耗的多条线路电动汽车的调度问题。以车辆数量和总运行成本为优化目标，以行驶里程限制、电池非线性能耗限制和充电站同时可充电的公交车数量为主要约束条件，提出了一种改进的粒子群优化算法来求解最优解集。与现有计划相比，该计划不仅可以减少车辆数量和总充电成本，而且可以将充电时段分布在非高峰时段，减少对城市电网的影响。
Abstract
Timetabling and scheduling of electric buses (EBs) are crucial for a sustainable city transportation system. Most studies mainly focus on the scheduling and timetabling for one EB line based on the assumption that energy consumption of a battery is linear with distance. In this study, timetabling and scheduling for multiple EB lines are investigated by considering nonlinear energy consumption due to the dynamic load of buses. The optimization objectives are to minimize the number of vehicles and total operation costs, in which the constraints include the limitations of operation range and nonlinear energy consumption of the battery and the capacity of buses can be simultaneously charged at charging stations. Further, an improved particle swarm optimization algorithm is developed to obtain the optimal solution set. Compared with the existing schedule, the proposed schedule can not only reduce the number of vehicles and total charging costs but also distribute the charging periods during off-peak hours to reduce the impact on the urban electricity grid.
图1 各类非预计成本示意图
图2 本文所提出的方法实现北京市鲁谷公交车和时刻表规划
推荐阅读：
