A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling

C Wang, Y ** review of surrogate safety assessment using traffic conflict techniques
A Arun, MM Haque, A Bhaskar, S Washington… - Accident Analysis & …, 2021 - Elsevier
Safety assessment of road sections and networks have historically relied on police-reported
crash data. These data have several noteworthy and significant shortcomings, including …

Assessing traffic conflict/crash relationships with extreme value theory: Recent developments and future directions for connected and autonomous vehicle and …

Y Ali, MM Haque, F Mannering - Analytic methods in accident research, 2023 - Elsevier
With proactive safety assessment gaining significant attention in the literature, the
relationship between traffic conflicts (which form the underpinnings of proactive safety …

Data-driven approaches for road safety: A comprehensive systematic literature review

A Sohail, MA Cheema, ME Ali, AN Toosi, HA Rakha - Safety science, 2023 - Elsevier
Road crashes cost over a million lives each year. Consequently, researchers and transport
engineers continue their efforts to improve road safety and minimize road crashes. With the …

Advances and applications of computer vision techniques in vehicle trajectory generation and surrogate traffic safety indicators

M Abdel-Aty, Z Wang, O Zheng, A Abdelraouf - Accident Analysis & …, 2023 - Elsevier
Abstract The application of Computer Vision (CV) techniques massively stimulates
microscopic traffic safety analysis from the perspective of traffic conflicts and near misses …

A hybrid modelling framework of machine learning and extreme value theory for crash risk estimation using traffic conflicts

F Hussain, Y Li, A Arun, MM Haque - Analytic methods in accident research, 2022 - Elsevier
Extreme value theory is the state-of-the-art modelling technique for estimating crash risk
from traffic conflicts, with two different sampling techniques, ie block maxima and peak-over …