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

C Wang, Y Xie, 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 …

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 survey on safety-critical driving scenario generation—A methodological perspective

W Ding, C Xu, M Arief, H Lin, B Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Autonomous driving systems have witnessed significant development during the past years
thanks to the advance in machine learning-enabled sensing and decision-making …

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 …

E-Scooter safety: The riding risk analysis based on mobile sensing data

Q Ma, H Yang, A Mayhue, Y Sun, Z Huang… - Accident Analysis & …, 2021 - Elsevier
The emergence of shared electric scooter (E-Scooter) systems offers a new micro-mobility
mode in many urban areas worldwide. These systems have rapidly attracted numerous trips …

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 …

[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 …

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 …

Deep adaptive control: Deep reinforcement learning-based adaptive vehicle trajectory control algorithms for different risk levels

Y He, Y Liu, L Yang, X Qu - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
In this study, we explore the problem of adaptive vehicle trajectory control for different risk
levels. Firstly, we introduce a sliding window-based car-following scenario extraction …

Assessing traffic disturbance, efficiency, and safety of the mixed traffic flow of connected vehicles and traditional vehicles by considering human factors

A Sharma, Z Zheng, J Kim, A Bhaskar… - … research part C: emerging …, 2021 - Elsevier
In the foreseeable future, connected vehicles (CVs) will coexist with traditional vehicles
(TVs) resulting in a complex mixed traffic environment and the success of CVs will depend …