Predicting subway incident delays using text analysis based accelerated failure time model

Author:

Liu Fuze12,Wang Shouyang1

Affiliation:

1. School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China

2. Beijing Municipal Commission of Transport, Beijing, China

Publisher

Informa UK Limited

Subject

Safety Research,Transportation

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Predicting metro incident duration using structured data and unstructured text logs;Transportmetrica A: Transport Science;2024-08-29

2. Incident Delay Prediction in Urban Railway Systems: Methodology Review and Exploratory Comparative Analysis;Transportation Research Record: Journal of the Transportation Research Board;2024-06-08

3. Novel Approach for Quantifying the Propagation of Subway Equipment Faults by Using Multimodal Networks;Transportation Research Record: Journal of the Transportation Research Board;2024-06-07

4. Comprehensive evaluation of multiple machine learning classifiers for predicting freeway incident duration;Innovative Infrastructure Solutions;2023-05-24

5. A new approach in developing an urban rail transit emergency knowledge graph based on operation fault logs;Journal of Transportation Safety & Security;2022-12-01

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