Abstract

The influence of several traffic parameters including the traffic hourly volume, average speed, and speed variance on the frequency and rate of the crash has been investigated by many researchers. In addition, the impact of human parameters on the spatial and temporal distribution of crashes has also been taken into account. However, the importance of traffic parameters on the temporal distribution of crashes has not been fully analyzed. Therefore, the main aim of this study was to investigate the effects of traffic parameters on the temporal distribution of crashes. Here, the spider plot was utilized for temporal analysis along with linear regression to estimate the impact of traffic hourly volume on the crash ratio. Also, the relationship between the crash’s time and traffic parameters was determined using the Chi-square test. Accordingly, the results indicated a significant impact of traffic hourly volume on the crash ratio. Furthermore, it was observed that some traffic parameters have a significant impact on the temporal distribution of crash frequency and ratio and there are different temporal distribution patterns for different values of traffic parameters.

Full Text
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