考虑尾气污染的公交跳站策略研究

Study on Bus Stop-Skip Strategy Considering Bus Emission

为了在提高公交运行效率的同时考虑到公交尾气对环境的影响,文章提出一种新的跳站调度策略。新策略通过减少停靠站点数量来提高公交系统的运行效率。以单条公交线路的运行为研究对象,对需要停靠的具体站点进行决策,以乘客旅行时间,公交运行时间以及站点的排放量与原始方案的占比加权和最小为优化目标的模型。在已知公交OD到达率数据条件下,利用遗传算法对优化模型进行求解,得出最优跳站方案。最终结果显示,新的跳站方案可以减少乘客旅行时间3.09%,车辆的运行时间0.92%,站点处的尾气排放4.4%。

In order to improve the efficiency of bus operation and reduce the impact of bus emission on the environment,this paper proposes a new skip station scheduling strategy.The new strategy improves the efficiency of public transportation system by reducing the number of stops.This paper takes the operation of a single bus line as the research object,and makes decisions on the specific stops to be stopped.The optimization objective is the weighted sum of the proportion of the passenger travel time,bus operation time and bus emission to the original scheme.Given the OD arrival rate data of public transport,the genetic algorithm is used to solve the optimization model,and the optimal station skipping scheme is obtained.The final results show that the new scheme can reduce the travel time of passengers by 3.09%,the running time of vehicles by 0.92%,and the exhaust emission at the station by 4.4%.