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基于乘客需求不平衡程度的有限停站服务设计。

Design of limited-stop service based on the degree of unbalance of passenger demand.

机构信息

College of Transportation, Jilin University, Changchun, China.

Business School, University of Shanghai for Science and Technology, Shanghai, China.

出版信息

PLoS One. 2018 Mar 5;13(3):e0193855. doi: 10.1371/journal.pone.0193855. eCollection 2018.

Abstract

This paper presents a limited-stop service for a bus fleet to meet the unbalanced demand of passengers on a bus route and to improve the transit service of the bus route. This strategy includes two parts: a degree assessment of unbalanced passenger demand and an optimization of the limited-stop service. The degree assessment of unbalanced passenger demand, which is based on the different passenger demand between stations and the unbalance of passengers within the station, is used to judge whether implementing the limited-stop service is necessary for a bus route. The optimization of limited-stop service considers the influence of stop skipping action and bus capacity on the left-over passengers to determine the proper skipping stations for the bus fleet serving the entire route by minimizing both the waiting time and in-vehicle time of passengers and the running time of vehicles. A solution algorithm based on genetic algorithm is also presented to evaluate the degree of unbalanced passenger demand and optimize the limited-stop scheme. Then, the proper strategy is tested on a bus route in Changchun city of China. The threshold of degree assessment of unbalanced passenger demand can be calibrated and adapted to different passenger demands.

摘要

本文提出了一种有限停站服务的公交车队,以满足公交线路上乘客的不平衡需求,并改善公交线路的公交服务。该策略包括两部分:不平衡乘客需求程度评估和有限停站服务优化。不平衡乘客需求程度评估是基于站点之间的不同乘客需求和站点内乘客的不平衡,用于判断对于一条公交线路是否有必要实施有限停站服务。有限停站服务的优化考虑了停站跳跃动作和公交车容量对剩余乘客的影响,通过最小化乘客的候车时间、车内时间和车辆运行时间,确定整个线路的公交车队的适当跳跃车站。还提出了一种基于遗传算法的解决方案算法,以评估不平衡乘客需求的程度并优化有限停站方案。然后,在中国长春市的一条公交线路上对适当的策略进行了测试。不平衡乘客需求程度评估的阈值可以根据不同的乘客需求进行校准和调整。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9208/5837195/92b37d518502/pone.0193855.g001.jpg

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