https://scholars.lib.ntu.edu.tw/handle/123456789/597998
標題: | Identification of high-risk driving behavior and sections for rail systems | 作者: | Chen Y.-F Hsueh K.-C Lai Y.-C.R. YUNG-CHENG LAI |
關鍵字: | Railroad transportation;Railroads;Rails;Safety engineering;Automatic train protection systems;Current practices;Driving behaviour;Integrated risks;Rail systems;Railway safety;Railway system;Risk behaviour;Risk indices;Risks assessments;Risk assessment | 公開日期: | 2021 | 卷: | 2675 | 期: | 12 | 起(迄)頁: | 1379-1392 | 來源出版物: | Transportation Research Record | 摘要: | Risk assessment is an important process for railway safety. Current practices for assessing the risks of driving behaviors aim to inspect the driving record generated by automatic train protection systems. This paper proposes an automatic process to access detailed data contained in driving data, and identifies six high-risk driving behaviors. The modules can assess the competency of drivers and evaluate the frequency of high-risk behaviors in each section. Moreover, an integrated risk index for driving behaviors is proposed to compare each driver and section. An empirical study for drivers and sections is performed to demonstrate the feasibility of applying the proposed modules in practice. Results reveal that 20% of high-risk drivers contribute to 74% of the total risk, while 15% of high-risk sections contribute to 80% of the total risk. The proposed modules identify the drivers and sections with high risk. By enabling the operators of railway systems to take countermeasures, this methodology could enable them to improve the safety of railway systems more efficiently. ? National Academy of Sciences: Transportation Research Board 2021. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120066897&doi=10.1177%2f03611981211033856&partnerID=40&md5=4daaa0e25dcec5e47084b9a72962be1c https://scholars.lib.ntu.edu.tw/handle/123456789/597998 |
ISSN: | 03611981 | DOI: | 10.1177/03611981211033856 |
顯示於: | 土木工程學系 |
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