Train Route Information Visual Distance Extension and Analysis of Driver Cognitive Reliability

Wang, Junfeng; Qiu, Hanzhao; Wang, Jungang; Fang, Weining; Guo-qin, Zhou

doi:10.1109/tr.2020.3025827

Cited by 4 publications

(2 citation statements)

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“…Junfeng Wang et.al, proposed a method for extending the visual distance of train routes. Train route information visual distance extension (TRIVDE) improves the driver's cognitive environment [13]. ByeongSu Yum et al found that working environmental factors appear to have no association with the level of posttraumatic distress [14].…”

Section: Risk Factors Associated To Railway Operational Accidentsmentioning

confidence: 99%

Analyzing and Predicting Railway Operational Accidents Based on Fishbone Diagram and Bayesian Networks

et al. 2022

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The prevention of railway operational accidents has become one of the leading issues in railway safety. Identifying the impact factors which significantly affect railway operating is critical for decreasing the occurrence of railway accidents. In this study, 8440 samples of accident data are selected as the datasets for analyzing. Fishbone diagram is applied to obtain the factors which cause the accident from the perspective of human-equipment-environment-management system theory. Then, the Bayesian network method was selected to establish a railway operation safety accident prediction model, and the sensitivity analysis method was used to obtain the sensitivity of each variable factor to the accident level. The results show that season, location, trouble maker and job function have a significant impact on railway safety, and their sensitivity was 0.4577, 0.4116, 0.3478 and 0.3192, respectively. Research helps the railway sector to understand the fundamental causes of accidents, and provides an effective reference for accident prevention, which is conducive to the long-term development of railway transportation.

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Section: Risk Factors Associated To Railway Operational Accidentsmentioning

confidence: 99%

Analyzing and Predicting Railway Operational Accidents Based on Fishbone Diagram and Bayesian Networks

et al. 2022

View full text Add to dashboard Cite

show abstract

“…When encountering an emergency, the driver is unable to deal with it according to the actual situation. Junfeng Wang proposed the idea of the visual extension of the train route, that is, the information of the station ahead is displayed on DMI in advance so that the driver can control the whole station entry process, and the driver can directly deal with the danger when it occurs, thus improving the safety of the railway system [1].…”

Section: Introductionmentioning

confidence: 99%

Design of comprehensive monitoring system for train operation safety based on 5G communication

Guo

Wang

Zhang

et al. 2022

Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022)

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Improving transport capacity by increasing the information amount of Chinese train control system

Wang¹,

Han²

2023

Theory and Technology for Improving High-Speed Railway Transportation Capacity

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Train Route Information Visual Distance Extension and Analysis of Driver Cognitive Reliability

Cited by 4 publications

References 20 publications

Analyzing and Predicting Railway Operational Accidents Based on Fishbone Diagram and Bayesian Networks

Analyzing and Predicting Railway Operational Accidents Based on Fishbone Diagram and Bayesian Networks

Design of comprehensive monitoring system for train operation safety based on 5G communication

Improving transport capacity by increasing the information amount of Chinese train control system

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