A Global Dynamic Capacity Risk Assessment and Prediction Method of Regional Rail Transit Network Based on Passenger Flow Monitoring

Proceedings of the 13th International Conference on Computer Modeling and Simulation Pub Date : 2021-06-25 DOI:10.1145/3474963.3474977

Wenchao Cui, Wei Dong, Xinya Sun, K. Feng, Jun Zhang

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引用次数: 3

Abstract

Regional rail transit is a comprehensive rail transit system with multiple standards that is formed to meet the needs of urban agglomeration economic integration. With the continuous development of regional rail transit, the connection between different standards and between stations continues to increase, and the ripple effect of transportation risks is more prominent. Therefore, in order to reduce the impact of transportation risks on the safety of the road network, it is urgent to evaluate and predict the dynamic transportation risks of the regional rail transit network from a global perspective. In response to this problem, this paper proposes a method for evaluating and predicting regional rail transit dynamic capacity risk based on dynamic passenger flow monitoring, and establishes an SVM-based capacity risk assessment and prediction model, and finally takes the rail transit network in Chengdu as an example to verify the effectiveness of this method.

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基于客流监测的区域轨道交通网络全局动态容量风险评估与预测方法

区域轨道交通是为适应城市群经济一体化的需要而形成的具有多种标准的综合性轨道交通体系。随着区域轨道交通的不断发展，不同标准之间、站与站之间的连接性不断增加，运输风险的连锁效应更加突出。因此，为了降低运输风险对路网安全的影响，迫切需要从全局角度对区域轨道交通网络的动态运输风险进行评估和预测。针对这一问题，本文提出了一种基于动态客流监测的区域轨道交通动态容量风险评估与预测方法，并建立了基于svm的区域轨道交通动态容量风险评估与预测模型，最后以成都市轨道交通网络为例验证了该方法的有效性。

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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Proceedings of the 13th International Conference on Computer Modeling and Simulation

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