Prediction models have been extensively used in the field of road safety, however, none these particularly applied to zero-emission electric vehicle (EV) related injuries so far; which may lead different outcomes due their inaudible engines. Using an optimizable classification tree, this first-ever study aims predict likelihood personal injury severities stemming from EV-related crashes on Brit...

Although autonomous vehicle technology has evolved significantly in recent years, the navigation of self-driving vehicles complex scenarios is still an open issue. One major challenges these conditions safe on roads to public traffic. The main issue interaction with regular traffic, as behaviors and intentions human-driven are hard predict understand. In this paper we propose a strategy allow s...

Recently, there has been a growing demand and interest in developing methods for analyzing smartphone logs to extract traffic safety information. Because the log is high time resolution and closely related to user activities but fragmentary and myopic, it is difficult for currently available collision probability based quantitative risk assessment methods to create traffic safety maps automatic...