Accident risk analysis and model applications of railway level crossings

Shou-Ren Hu, Kai Han Wu

研究成果: Paper

5 引文 斯高帕斯(Scopus)

摘要

In order to reduce property loss and casualties from level crossing accidents, it is crucial to develop effective accident prediction models that are capable of providing effective information of accident frequency and severity given a vector of covariates. In the present research, a set of statistical count and categorical data models are developed; they are not only able to evaluate accident frequency and severity but also capable of exploring the potential risk factors that are responsible for traffic accidents. Using the data set collected by the Ministry of Transportation and Communication (MOTC) in 1998, which consist of both historical accident data and railway level crossing related data, the empirical study identifies a vector of factors that are significantly associated with accident frequency and/or severity. Finally, the developed accident frequency and severity models are also employed to provide the evaluation of black spots and countermeasure effects.

原文English
頁面687-692
頁數6
DOIs
出版狀態Published - 2008 十二月 1
事件11th International IEEE Conference on Intelligent Transportation Systems, ITSC 2008 - Beijing, China
持續時間: 2008 十二月 102008 十二月 12

Other

Other11th International IEEE Conference on Intelligent Transportation Systems, ITSC 2008
國家China
城市Beijing
期間08-12-1008-12-12

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

引用此

Hu, S-R., & Wu, K. H. (2008). Accident risk analysis and model applications of railway level crossings. 687-692. 論文發表於 11th International IEEE Conference on Intelligent Transportation Systems, ITSC 2008, Beijing, China. https://doi.org/10.1109/ITSC.2008.4732661