Roundabout Accident Prediction Model: Random-Parameter Negative Binomial Approach

Roundabouts have been used widely on all road classes in the United Kingdom because they are considered safer than other types of intersections in general. The objective of this study was to examine geometric and traffic characteristics and their influences on the number of accidents. Data from each of 70 roundabouts (with 284 approaches) included all recorded vehicle accidents as well as geometric and traffic characteristics for the entire roundabout, within circulatory lanes, and at roundabout approaches. Resulting estimates were compared with those from random-parameter and fixed-parameter negative binomial count data models. The random-parameter results provided better goodness of fit than the fixed-parameter results, and more variables were found to be significant. Significant variables that influenced the number of accidents were total approach traffic, truck percentage, entry width, inscribed circle diameter, number of lanes, and presence of traffic signals.

• Record URL:
  https://doi.org/10.3141/2585-02
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309370035
• Authors:
  • Kamla, Jwan
  • Parry, Tony
  • Dawson, Andrew
• Publication Date: 2016

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 11–19
• Monograph Title: Truck and Bus Safety; Roundabouts
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 2585
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Binomial distributions; Crash risk forecasting; Geometric design; Mathematical prediction; Roundabouts; Traffic characteristics; Traffic crashes
• Geographic Terms: United Kingdom
• Subject Areas: Design; Highways; Operations and Traffic Management; Safety and Human Factors;

Filing Info

• Accession Number: 01590978
• Record Type: Publication
• ISBN: 9780309370035
• Report/Paper Numbers: 16-3545
• Files: TRIS, TRB, ATRI
• Created Date: Feb 25 2016 10:15AM