Analysis of Crash Precursors on Instrumented Freeways
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- 1 January 2002
- journal article
- research article
- Published by SAGE Publications in Transportation Research Record: Journal of the Transportation Research Board
- Vol. 1784 (1), 1-8
- https://doi.org/10.3141/1784-01
Abstract
Traffic flow characteristics that lead to crashes on urban freeways are examined. Since these characteristics are observed prior to crash occurrence, they are referred to as “crash precursors.” The objectives are ( a) to explore factors contributing to changes in crash rate for individual vehicles traveling over an urban freeway and ( b) to develop a probabilistic model relating significant crash precursors to changes in crash potential. The data used to examine crash precursors were extracted from 38 loop detector stations on a 10-km stretch of the Gardiner Expressway in Toronto for a 13-month period. An aggregate log-linear model was developed relating crash rates to the selected crash precursors observed upstream of the crash site. The results of this analysis suggest that the variation of speed and traffic density are statistically significant predictors of crash frequency after controlling for road geometry, weather, and time of day. With the model, crash potential can be established based on the precursors obtained from real-time traffic data.Keywords
This publication has 7 references indexed in Scilit:
- Freeway management systems and motor vehicle crashes: a case study of Phoenix, ArizonaAccident Analysis & Prevention, 2001
- Synthesis of Studies on Speed and SafetyTransportation Research Record: Journal of the Transportation Research Board, 2001
- Analysis of Freeway Accident DetectionTransportation Research Record: Journal of the Transportation Research Board, 1997
- Provincial-Wide Travel Speed and Traffic Safety Study in SaskatchewanTransportation Research Record: Journal of the Transportation Research Board, 1997
- The relationship between truck accidents and geometric design of road sections: Poisson versus negative binomial regressionsAccident Analysis & Prevention, 1994
- Predicting wet weather accidentsAccident Analysis & Prevention, 1981
- The use of multiplicative models for analysis of road safety dataAccident Analysis & Prevention, 1979