摘要
地铁末班车衔接问题关系到乘客能否乘坐地铁实现当天的最后一次出行。特别对于深夜到达城市机场的乘客而言,由于机场地理位置的因素,错过地铁末班车意味着乘客的出行费用将会大幅增加。文章基于乘坐末班车出发的客流,以OD(origin-destination)可达乘客人数最大化和登车乘客人均等待时间最小化为目标建立地铁末班车时刻表优化模型,设计基于遗传算法的求解方法。最后,以西安地铁网络为例开展算例研究,结果表明:OD可达的乘客人数提高了27.70%,其中机场站来源的乘客人数增长了55.82%,人均等待时间平均下降了32.37%,验证了所提模型和方法的有效性。
The problem of the last train connection is related to whether passengers can take the subway to achieve the last trip of the day.Especially for passengers who arrive at the city airport late at night,due to the geographical location of the airport,missing the last train of the subway means that the travel costs of these passengers will increase significantly.Therefore,this paper considers the passenger flow departing from the last train,establishes the optimization model of the last train timetable with the goal of maximizing the number of origin-destination(OD)passengers and minimizing the waiting time of boarding passengers,and designs a solution method based on genetic algorithm.Finally,a case study of Xi’an subway network is carried out.The results show that the number of OD passengers increases by 27.70%,among which the number of passengers from airport stations increases by 55.82%,and the average waiting time per passenger decreases by 32.37%,which verifies the effectiveness of the proposed model and method.
作者
王林
徐小明
WANG Lin;XU Xiaoming(School of Automobile and Traffic Engineering,Hefei University of Technology,Hefei 230009,China)
出处
《合肥工业大学学报(自然科学版)》
北大核心
2025年第5期651-658,664,共9页
Journal of Hefei University of Technology:Natural Science
基金
国家自然科学基金资助项目(72071059)
中央高校基本科研业务费专项资金资助项目(JZ2023YQTD0073)。
关键词
地铁末班车
时刻表优化
机场线
遗传算法
OD可达性
last train of subway
timetable optimization
airport intercity line
genetic algorithm
origin-destination(OD)accessibility
