期刊
SUSTAINABILITY
卷 12, 期 3, 页码 -出版社
MDPI
DOI: 10.3390/su12030897
关键词
community shuttle; optimal network design; demand-responsive; metro station
资金
- National Key Research and Development Program of China [2018YFB1601300]
- National Natural Science Foundation of China [71601006]
- Science and Technology Development Foundation of Beijing Municipal Education Commission [KM201710005030]
This paper investigates the optimal routing design problem of a community shuttle system feeding to metro stations based on demand-responsive service. The solution aims to jointly optimize a set of customized routes and the departure time of each route to provide a flexible shuttle service. Considering a set of on-demand trip requests between bus stops and metro stations, a mixed-integer optimization model is formulated to minimize the total system cost, including the operation cost and passenger's in-vehicle cost, subject to the constraints on the route length, time window, detours, and vehicle capacity. To solve the problem, two metaheuristic algorithms, i.e. a tabu search (TS) and a variable neighborhood search (VNS), with different internal operators are specifically designed. A case study based on a realistic network is conducted to test the model and the solution, and comparisons of the performance of different algorithms are investigated.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据