An Indicator for Evaluating Regional Safety Performance using In-vehicle Hazardous Driving Event Data

The evaluation of traffic safety levels is a fundamental aspect of supporting the establishment of safety policies and technical countermeasures by local governments. Existing safety indices that use actual crash data have limitations for the achievement of more active safety enhancement because long-term data collection is required to obtain sufficient samples. A promising alternative is to use indirect safety measures, which can be further upgraded in the era of big data, in the evaluation of traffic safety. This study proposes a novel safety indicator based on in-vehicle hazardous driving event data that is obtained from on-board devices, called digital tachographs (DTG), in Korea. The DTG-based indicatorex for evaluating traffic safety (DIETS), which is a probabilistic measure for quantifying the safety levels of local governments, was developed based on binary logistic regression (BLR) analyses. Hazardous driving events identified from DTG data were analyzed to derive independent variables in BLR modeling. DIETS is expected to facilitate the effective decision-making of local governments for the development and implementation of safety policies.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 13p

Subject/Index Terms

Filing Info

  • Accession Number: 01764261
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-00094
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:23AM