01371374

Component

https://doi.org/10.3141/2280-06

http://scholar.google.com....+Yu&publication_year=2012

This study investigated the effect of the interaction between roadway geometric features and real-time weather and traffic data on the occurrence of crashes on a mountainous freeway. The Bayesian logistic regression technique was used to link a total of 301 crash occurrences on I-70 in Colorado with the space mean speed collected in real time from an automatic vehicle identification (AVI) system and real-time weather and roadway geometry data. The results suggested that the inclusion of roadway geometrics and real-time weather with data from an AVI system in the context of active traffic management systems was essential, in particular with roadway sections characterized by mountainous terrain and adverse weather. The modeling results showed that the geometric factors were significant in the dry and the snowy seasons and that the likelihood of a crash could double during the snowy season because of the interaction between the pavement condition and steep grades. The 6-min average speed at the crash segment during the 6 to 12 min before the crash and the visibility 1 h before the crash were found to be significant during the dry season, whereas the logarithms of the coefficient of variation in speed at the crash segment during the 6 to 12 min before the crash, the visibility 1 h before the crash, as well as the precipitation 10 min before the crash were found to be significant during the snowy season. The results from the two models suggest that different active traffic management strategies should be in place during these two distinct seasons.

01474121

12-0998

English

pp 51–59

2012

Transportation Research Record: Journal of the Transportation Research Board

9780309263214

Print

Figures; References; Tables

Automatic vehicle identification; Crash analysis; Crashes; Freeways; Geometric design; Logistic regression analysis; Mountain roads; Traffic data; Weather conditions

Active traffic management; Bayesian approach

Data and Information Technology; Highways; Safety and Human Factors; I80: Accident Studies

TRIS, TRB, ATRI

Feb 8 2012 4:59PM

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