Ramin Arvin

TL;DR: A methodology to quantify variations in vehicular movements utilizing longitudinal and lateral volatilities and proactively studies the impact of instantaneous driving behavior on type of crashes at intersections to identify hotspot intersections where the frequency of crashes is low, but the longitudinal/lateral driving volatility is high.

TL;DR: System improvements due to automation and connectivity across varying CAV market penetration scenarios are explored and ACC/CACC vehicles were found to improve mobility performance in terms of average speed and travel time at intersections.

TL;DR: In this paper, the concept of driving volatility is defined and explored in the context of high-frequency connected and automated vehicle data, where analysts can extract useful information from them and explore the driving volatility.

TL;DR: This study comprehensively examines the safety performances of the ADS safety performances documented since the inauguration of the testing program and reveals that compared to freeways and interstates, the ADS has a lower likelihood of initiating the disengagement on streets and roads compared to the human operator.

TL;DR: With volatile driving serving as a leading indicator of crash intensity, given the crashes analyzed in this study, early warnings and alerts for the subject vehicle driver and proximate vehicles can be helpful when volatile behavior is observed.