The 22nd COTA International Conference of Transportation Professionals (CICTP 2022)

Based on the historical travel data provided by commercial driver monitoring systems, this study presents the analysis of contributing factors affecting hazardous materials (HAZMAT) truck safety. A comprehensive dataset of HAZMAT truck travel records (n=4,487), including driver characteristics, roadway characteristics, environmental characteristics, and temporal characteristics was developed for the study period of July 1^st to July 31^st, 2020. A random parameter ordered probit model was established for investigating the HAZMAT truck travel risk levels, which were measured by three warning frequency categories: high risk (more than one warning), moderate risk (one warning), and low risk (zero warning). The results show that speed, acceleration, lighting conditions (dusk/dawn, dark-lighted and dark-unlighted), visibility (less than 500 m and between 500 m and 1000 m), weather (rain and fog), and time of day (0:00-6:00) have statistically significant effects on the increase of high-risk probability.

HAZMAT truck;Risk factor;Random parameter ordered probit model