Investigating Pedestrian Crash Risk at Unsignalized Midblock Crosswalks on Arterial Road

The increase in pedestrian deaths in road accidents across the developing countries like India is a growing issue of concern. Statistical data indicate that most pedestrian fatalities occurred at midblock crosswalk locations. Pedestrian crossing behaviour data were collected using videography at unsignalized midblock crossing on arterial road. Effect of waiting time, accepted gap, vehicle speed and vehicle type will be considered. Age group, gender, luggage in hand, glancing before walking, all these variables will also be considered in modelling. Reduction in speed of vehicle will also be analysed. The present study will analyse safety margin of pedestrian-vehicle conflict under mixed traffic condition at uncontrolled midblock crossing on arterial road. The study will also use both multiple linear regression and the Machine Learning algorithms to model safety margin and assess significant factors affecting it. Rolling behaviour’s effect on pedestrian safety margin will also be analysed.