A pro-active approach for assessment of vehicle-vehicle interaction at unsignalized intersection in mixed traffic conditions

The current study aimed to analyse the impact of different vehicle category interactions on the critical values of proximal indicators under mixed traffic conditions. A semi-automated tool was used for trajectory and speed extraction of varying vehicle categories. A total of 1141 interaction profiles of Time to collision and Post Encroachment time indicators were used to check the impact of static and dynamic characteristics of vehicles on critical values of proximal indicators. Violin plots using python were made to see the distribution of critical values of various vehicle combinations. Finally, ANOVA and t-tests were used to check the similarities in critical values of indicators. The result revealed that threshold (minimum) values coming from different combinations of vehicles vary. This study aids in a more profound understanding of the impact of different vehicle categories on threshold values of surrogate safety measures.