基于多智能体的城市群客运网络脆弱性动态仿真

doi:10.16182/j.issn1004731x.joss.22-0200

系统仿真学报 ›› 2023, Vol. 35 ›› Issue (6): 1183-1190.doi: 10.16182/j.issn1004731x.joss.22-0200

基于多智能体的城市群客运网络脆弱性动态仿真

李成兵¹(), 李云飞², 吴鹏²

^1.内蒙古大学交通学院，内蒙古呼和浩特 010070
^2.北京交通大学交通运输学院，北京 100044

收稿日期:2022-03-10 修回日期:2022-05-26 出版日期:2023-06-29 发布日期:2023-06-20
作者简介:李成兵(1982-)，男，教授，博士，研究方向为交通运输系统仿真与优化。Email:bingbingnihao2008@126.com
基金资助:
国家自然科学基金(62063023);内蒙古自治区高等学校青年科技英才支持计划(NJYT22099);内蒙古自治区自然科学基金(2019MS05083)

Dynamic Simulation of Urban Agglomeration Passenger Transport Network Vulnerability Based on Multi-agent

Chengbing Li¹(), Yunfei Li², Peng Wu²

^1.School of Transportation, Inner Mongolia University, Hohhot 010070, China
^2.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China

Received:2022-03-10 Revised:2022-05-26 Online:2023-06-29 Published:2023-06-20

摘要/Abstract

摘要：

研究城市群综合客运交通网络脆弱性有助于保障城际出行的运输效率。为了更符合实际情况，采用多层复杂网络理论建立城市群综合客运网络，考虑城市交通换乘因素，利用实际客流标定站点负载及容量，构建网络级联失效动态模型，并用多智能体模型模拟实际客流，通过迪杰斯特拉算法寻找最短路径，并提出时空维度的脆弱性评价指标。实例动态仿真采用呼包鄂榆城市群，结果表明：大部分火车站受到攻击后对网络的影响范围及时间较大；站点受到攻击后对网络的影响范围与持续时间没有明显关系。

关键词: 城市群交通, 客运网络, 多智能体模型, 脆弱性, 动态仿真

Abstract:

Research on vulnerability of comprehensive passenger transportation network in urban agglomerations helps to ensure the transportation efficiency of intercity travel. A comprehensive passenger transport network model of urban agglomeration is built based on multi-layer complex network theory. Urban transportation transfer factors are considered, actual passenger flow is used to calibrate the station load and capacity and a dynamic model of network cascading failure is constructed. Multi-agents are used to simulate the actual passenger flow, Dijkstra algorithm is used to find the shortest path, and two time-dimensional vulnerability evaluation indicators are proposed. MATLAB is used to carry out the dynamic simulation of Hubao-Eyu urban agglomeration. The results show that most train stations have obvious range and time, impact on the network after being attacked, but the duration is not significantly different from the bus stations. The impact on the network of different sites being attacked has no obvious relationship with the duration.

Key words: urban agglomeration transport, passenger traffic network, multi-agent, vulnerability, dynamic simulation

中图分类号:

TP391

李成兵, 李云飞, 吴鹏. 基于多智能体的城市群客运网络脆弱性动态仿真[J]. 系统仿真学报, 2023, 35(6): 1183-1190.

Chengbing Li, Yunfei Li, Peng Wu. Dynamic Simulation of Urban Agglomeration Passenger Transport Network Vulnerability Based on Multi-agent[J]. Journal of System Simulation, 2023, 35(6): 1183-1190.

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站点编号	范围	时间	站点名称
19	37	2 188	呼和浩特长途汽车东站
84	91	5 051	呼和浩特火车西站
89	92	4 602	呼和浩特火车东站
91	82	2 741	榆林火车站
98	79	2 387	靖边县火车站
100	55	3 462	清水河站

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基于多智能体的城市群客运网络脆弱性动态仿真

Dynamic Simulation of Urban Agglomeration Passenger Transport Network Vulnerability Based on Multi-agent

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