Managing congestion at the entrance of subway stations with reserved inbound service

IF 3.3 2区工程技术 Q2 TRANSPORTATION

Transportmetrica B-Transport Dynamics Pub Date : 2024-01-10 DOI:10.1080/21680566.2023.2297142

Hui Zhang, Meng Xu, Vincent A.C. Van Den Berg

引用次数: 0

Abstract

During peak hours at many entrances of subway stations, huge queues of passengers try to enter. To address this congestion, the city of Beijing has introduced a reserved inbound services in several...

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利用预留的进站服务管理地铁站入口处的拥堵情况

在高峰时段，许多地铁站的入口处都会出现乘客大排长龙的现象。为解决这一拥堵问题，北京市在多个地铁站推出了进站预留服务...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Transportmetrica B-Transport Dynamics TRANSPORTATION SCIENCE & TECHNOLOGY-

CiteScore

5.00

自引率

21.40%

发文量

期刊介绍： Transportmetrica B is an international journal that aims to bring together contributions of advanced research in understanding and practical experience in handling the dynamic aspects of transport systems and behavior, and hence the sub-title is set as “Transport Dynamics”. Transport dynamics can be considered from various scales and scopes ranging from dynamics in traffic flow, travel behavior (e.g. learning process), logistics, transport policy, to traffic control. Thus, the journal welcomes research papers that address transport dynamics from a broad perspective, ranging from theoretical studies to empirical analysis of transport systems or behavior based on actual data. The scope of Transportmetrica B includes, but is not limited to, the following: dynamic traffic assignment, dynamic transit assignment, dynamic activity-based modeling, applications of system dynamics in transport planning, logistics planning and optimization, traffic flow analysis, dynamic programming in transport modeling and optimization, traffic control, land-use and transport dynamics, day-to-day learning process (model and behavioral studies), time-series analysis of transport data and demand, traffic emission modeling, time-dependent transport policy analysis, transportation network reliability and vulnerability, simulation of traffic system and travel behavior, longitudinal analysis of traveler behavior, etc.