Modeling traffic conflicts for use in road safety analysis: A review of analytic methods and future directions

L Zheng, T Sayed, F Mannering - Analytic methods in accident research, 2021 - Elsevier
Limitations of crash data and crash-based methods have given rise to the study of alternate
measures of safety that are not predicated on the occurrence of a crash such as traffic …

A systematic mapping 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 …

[HTML][HTML] Application of proximal surrogate indicators for safety evaluation: A review of recent developments and research needs

SMS Mahmud, L Ferreira, MS Hoque, A Tavassoli - IATSS research, 2017 - Elsevier
Although there have been a number of recent reviews on the use of traffic conflict techniques
(TCTs), none have focused on the use of proximal surrogate indicators. This paper …

Defining interactions: A conceptual framework for understanding interactive behaviour in human and automated road traffic

G Markkula, R Madigan, D Nathanael… - Theoretical Issues in …, 2020 - Taylor & Francis
Rapid advances in technology for highly automated vehicles (HAVs) have raised concerns
about coexistence of HAVs and human road users. Although there is a long tradition of …

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 …

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 …

Traffic conflict techniques for road safety analysis: open questions and some insights

L Zheng, K Ismail, X Meng - Canadian journal of civil …, 2014 - cdnsciencepub.com
Developing non-crash or surrogate measures of road safety has drawn considerable
research interest over the past five decades. Traffic conflict techniques, which analyze the …

A bivariate extreme value model for estimating crash frequency by severity using traffic conflicts

A Arun, MM Haque, A Bhaskar, S Washington… - Analytic methods in …, 2021 - Elsevier
Estimating crash frequency by severity levels using traffic conflicts remains relatively
unexplored in conflict-based traffic safety assessment, limiting its application scope and …

[HTML][HTML] Real-time crash risk forecasting using Artificial-Intelligence based video analytics: A unified framework of generalised extreme value theory and …

F Hussain, Y Ali, Y Li, MM Haque - Analytic methods in accident research, 2023 - Elsevier
With the recent advancements in computer vision and artificial intelligence, traffic conflicts
occurring at an intersection and associated traffic characteristics can be obtained at the …

[HTML][HTML] In search of the severity dimension of traffic events: Extended Delta-V as a traffic conflict indicator

A Laureshyn, T De Ceunynck, C Karlsson… - Accident Analysis & …, 2017 - Elsevier
Most existing traffic conflict indicators do not sufficiently take into account the severity of the
injuries resulting from a collision had it occurred. Thus far, most of the indicators that have …