运输工程
流量网络
背景(考古学)
拉格朗日松弛
多式联运
流量(计算机网络)
交通管理
计算机科学
铁路货物运输
交通拥挤
集合(抽象数据类型)
流量(数学)
燃料效率
工程类
运筹学
分配问题
交通规划
车辆动力学
传输网络
智能交通系统
城市铁路
消费(社会学)
一般均衡理论
放松(心理学)
公共交通
网络模型
作者
Zhen Di,Yijing Zhou,Qingxia Huang,Jianguo Qi,Shenghu Zhang
标识
DOI:10.1109/tits.2025.3618277
摘要
In the context of metro-based freight, an equilibrium analysis framework is developed for freight demand within a multimodal transport network that integrates urban roads and passenger-freight metro lines. This framework specifically accounts for the impact of road freight-induced traffic congestion on car drivers, as well as the effect of in-train crowding caused by metro freight on metro passengers. Consequently, a freight flow equilibrium model with capacity constraints is proposed to address the freight flow assignment problem in such a multimodal network, and the augmented Lagrangian relaxation method is employed to solve it. A small-scale example is used to illustrate the details of the flow assignment process, while a set of large-scale examples demonstrate the computational efficiency of the algorithm. Finally, the resulting freight flow assignment is applied to assess the contribution of metro-based freight in reducing fuel consumption from urban road traffic.
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