Influence of Incident Spatiotemporal Estimation Method in Secondary Crash Identification

Accurate estimation of the primary incident spatiotemporal impact area is essential and imperative for successfully mitigating secondary crashes. This study presents a data-driven approach to automatically determine the spatiotemporal impact areas of primary incidents and hence detect secondary crashes that occurred within the affected area. The proposed approach considered how the queue caused by the primary incident grows and dissipates along each roadway segment upstream of the incident. The effectiveness of the proposed approach was compared with the approach that assumed that the impact of the incident along all the impacted segments is the same, referred to as the base approach. A majority of secondary crashes occurred under congested traffic conditions. Incidents with a major impact on traffic were the primary contributors to secondary crashes. The comparison of the secondary crashes detected by the improved and the base approach indicated that the base approach identified 54% more secondary crashes than the improved approach. These additional crashes were found to occur mostly under less traffic congestion such as during off-peak hours, on weekends, and when the primary incident had only a minor impact on traffic. Although the improved approach identified fewer secondary crashes, it is more precise because it considers segment-based traffic conditions. The proposed method more accurately identifies secondary crashes since it better reflects the changes in traffic characteristics caused by the primary incident.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; References; Tables;
  • Pagination: 21p

Subject/Index Terms

Filing Info

  • Accession Number: 01763433
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-03548
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 10:59AM