Research on Characteristics and Prediction Methods of Expressway Accidents

With the construction of expressways and the increase in car ownership, traffic safety problems have become increasingly severe. Based on expressway accident data and vehicle mobile navigation trajectory data, this paper firstly uses the statistical analysis method to study the characteristics of traffic accidents. Then it uses Wilcoxon signed rank test to quantitatively analyze the space-time characteristics of the road speed before and after traffic accidents. Then it uses the average speed of the upstream and downstream sections one hour before the traffic accident and five kilometers from the accident point to train the support vector data description (SVDD) model, and to obtain the corresponding hypersphere. Finally, the accuracy and feasibility of the accident prediction method proposed in this paper were verified by experiments. The research results will help the management department to predict expressway traffic safety, implement preventive measures in a targeted manner, pre-regulate deployments, and issue early warnings.


  • English

Media Info

  • Media Type: Web
  • Pagination: pp 4821-4832
  • Monograph Title: CICTP 2020: Transportation Evolution Impacting Future Mobility

Subject/Index Terms

Filing Info

  • Accession Number: 01768493
  • Record Type: Publication
  • ISBN: 9780784483053
  • Files: TRIS, ASCE
  • Created Date: Dec 9 2020 3:07PM