摘要
为科学客观地识别大型城市轨道交通网络瓶颈,提高网络化运营和服务管理水平,本文从轨道交通网络层出发综合考虑车站与区间能力关系,研究系统内部断面客流量和车站实际客流集散量的关系,从网络系统内部与外界客流集散关系角度,建立了基于集散网络的城市轨道交通瓶颈识别模型。以成都轨道交通网络为例进行分析,验证了该瓶颈识别方法的有效性和实用性。案例结果表明模型方法可对大型实际客流集散网络的瓶颈进行有效识别,瓶颈车站主要集中于1号线南部,最拥堵车站为火车南站(13号车站)。与既有方法相比,本文方法能从车站角度客观量化网络系统实际运营拥堵情况。
To objectively identify bottlenecks in urban rail transit networks and to improve urban rail network operations and service management,a bottleneck identification model based on a pedestrian mustering and evacuation network is established from the perspective of internal and external passenger flow distribution in the network system.By comprehensively incorporating factors related to station and section capacity from the urban rail transit network layer,the proposed model studies the relationship between section passenger flow in the system and pedestrian mustering and evacuation in the station.Taking the Chengdu urban rail transit network as an example,the effectiveness and practicability of the model are verified.Results show that the model can effectively identify bottlenecks in a large-scale actual pedestrian mustering and evacuation network.The bottleneck station in Chengdu urban rail transit network is located toward the south of Line 1,and the most congested station is the south railway station(station 13).Compared with existing methods,the model is able to quantitatively assess the actual operation congestion of the network system.
作者
施政
王莹
SHI Zheng;WANG Ying(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 611756,China)
出处
《交通运输工程与信息学报》
2020年第3期153-161,共9页
Journal of Transportation Engineering and Information
基金
中铁二院工程集团有限责任公司科研项目KYY2018057(18-19)。
关键词
城市轨道交通
瓶颈识别
客流分配
客流集散网络
urban rail transit network
bottleneck identification
passenger flow distribution
pedestrian mustering and evacuation network
