Abstract
The objective of this research was to seek valid surrogates for crashes, so that more reliable decisions and proactive measures could be made to improve traffic safety. Inspired by the Federal Highway Administration's (FHWA’s) Road Safety Audit program, this paper focused on tire skid marks. A case study was conducted on tire skid marks collected from selected freeway and arterial segments in the Reno-Sparks area in northern Nevada, USA. Parameters were identified to provide a possible guideline for skid mark classifications. Furthermore, linear regression was applied to determine whether skid mark frequency was a suitable predictor of crashes. The regression analyses indicated that there was a relatively strong linear correlation between skid marks and crashes on freeway segments but a weaker correlation on arterials. The frequency of tire skid marks on freeway was found to be statistically significant (at a confidence level of 95%) in being a predictor for crashes.
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