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城市主干道路段机动车与机动车之间事故的Bow-tie模型

Translated title of the contribution: Vehicle Accidents Bow-tie Model on Urban Arterial Road
  • Xiang Hai Meng*
  • , Yi Xin Ma
  • , Jia Hao Sun
  • *Corresponding author for this work
  • School of Transportation Science and Engineering, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

This study investigated the causes and consequences of traffic accidents on urban arterial roads, along with the active and passive safety control measures. Based on the multi-event chain and triangular fuzzy number method, the study developed a Bow-tie model for vehicle-vehicle accidents on urban arterial road. Based on the fault tree in the Bow-tie model this study analyzed three major accident cause chains including rear-end collisions, side-impact collisions, and sideswipe collisions. The event tree in the Bow-tie model shows that in the circumstances that the driver use the seat belt correctly, but there are no buffering and anti-collision facilities on the road side and no emergency rescue system in the jurisdiction, the event chain has the highest probability of occurrence, reaching 59.68%.When the driver does not use a seat belt and there are no buffering and anti-collision facilities on the road, the severity of the accident after the accident is significant. The study also proposed the preventive control countermeasures that can reduce the severity of the accidents for the three accident cause chains and two event chains.

Translated title of the contributionVehicle Accidents Bow-tie Model on Urban Arterial Road
Original languageChinese (Traditional)
Pages (from-to)178-186
Number of pages9
JournalJiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal of Transportation Systems Engineering and Information Technology
Volume20
Issue number4
DOIs
StatePublished - 1 Aug 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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