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

C Wang, Y **e, H Huang, P Liu - Accident Analysis & Prevention, 2021 - Elsevier
Abstract Surrogate Safety Measures (SSM) are important for safety performance evaluation,
since crashes are rare events and historical crash data does not capture near crashes that …

Recent advancements in end-to-end autonomous driving using deep learning: A survey

PS Chib, P Singh - IEEE Transactions on Intelligent Vehicles, 2023 - ieeexplore.ieee.org
End-to-End driving is a promising paradigm as it circumvents the drawbacks associated with
modular systems, such as their overwhelming complexity and propensity for error …

A systematic review of traffic conflict-based safety measures with a focus on application context

A Arun, MM Haque, S Washington, T Sayed… - Analytic methods in …, 2021 - Elsevier
Relative to safety assessment using data from observed crashes, conflict-based road safety
assessment can potentially provide additional insights into crash causation processes …

Criticality metrics for automated driving: A review and suitability analysis of the state of the art

L Westhofen, C Neurohr, T Koopmann, M Butz… - … Methods in Engineering, 2023 - Springer
The large-scale deployment of automated vehicles on public roads has the potential to
vastly change the transportation modalities of today's society. Although this pursuit has been …

In search of surrogate safety indicators for vulnerable road users: a review of surrogate safety indicators

C Johnsson, A Laureshyn, T De Ceunynck - Transport reviews, 2018 - Taylor & Francis
Surrogate indicators are meant to be alternatives or complements of safety analyses based
on accident records. These indicators are used to study critical traffic events that occur more …

Real-time conflict-based Bayesian Tobit models for safety evaluation of signalized intersections

Y Guo, T Sayed, M Essa - Accident Analysis & Prevention, 2020 - Elsevier
Highlights•Conflict-based real-time safety performance functions are developed for
signalized intersections.•Several Tobit models including GRP-Tobit, RI-Tobit, and GRP-Tobit …

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 …

Evaluating pedestrian vehicle interaction dynamics at un-signalized intersections: A proactive approach for safety analysis

A Kathuria, P Vedagiri - Accident Analysis & Prevention, 2020 - Elsevier
The present research demonstrates the use of advanced trajectory based data to analyze
road user interactions at an un-signalized intersection under heterogeneous traffic …

Assessing right-turning vehicle-pedestrian conflicts at intersections using an integrated microscopic simulation model

P Chen, W Zeng, G Yu - Accident Analysis & Prevention, 2019 - Elsevier
Frequent vehicle-pedestrian conflicts deserve special attention for safety assessment at
intersections. This study helps verify how the simulation as an innovative approach can be …

Development of conflict severity index for safety evaluation of severe crash types at unsignalized intersections under mixed traffic

M Paul, I Ghosh - Safety science, 2021 - Elsevier
Existing proximal indicators lack the capability of addressing the severe implications of a
possible collision. This study proposes a conflict severity index (CSI) based on crash risk …