A systematic review of autonomous emergency braking system: impact factor, technology, and performance evaluation

L Yang, Y Yang, G Wu, X Zhao, S Fang… - Journal of advanced …, 2022 - Wiley Online Library
In order to track the research progress of AEB‐related technologies, this paper makes a
systematic analysis and research on the impact factors, key technologies, and effect …

Automated vehicle crash sequences: Patterns and potential uses in safety testing

Y Song, MV Chitturi, DA Noyce - Accident Analysis & Prevention, 2021 - Elsevier
With safety being one of the primary motivations for developing automated vehicles (AVs),
extensive field and simulation tests are being carried out to ensure AVs can operate safely …

Deep reinforcement learning enabled decision-making for autonomous driving at intersections

G Li, S Li, S Li, Y Qin, D Cao, X Qu, B Cheng - Automotive Innovation, 2020 - Springer
Road intersection is one of the most complex and accident-prone traffic scenarios, so it's
challenging for autonomous vehicles (AVs) to make safe and efficient decisions at the …

Study of typical electric two‐wheelers pre-crash scenarios using K-medoids clustering methodology based on video recordings in China

D Pan, Y Han, Q Jin, H Wu, H Huang - Accident Analysis & Prevention, 2021 - Elsevier
Crash safety of electric two-wheelers (ETWs) has been one of the most important safety
issues in China due to their high proportion of involvement in traffic accidents. Automated …

A clustering approach to developing car-to-two-wheeler test scenarios for the assessment of Automated Emergency Braking in China using in-depth Chinese crash …

B Sui, N Lubbe, J Bärgman - Accident Analysis & Prevention, 2019 - Elsevier
Two-wheeled vehicles (motorized and non-motorized, referred to as TWs) are an important
part of the transport system in China. They also represent an important challenge for road …

Intersection two-vehicle crash scenario specification for automated vehicle safety evaluation using sequence analysis and Bayesian networks

Y Song, MV Chitturi, DA Noyce - Accident Analysis & Prevention, 2022 - Elsevier
This paper introduces a test scenario specification procedure using crash sequence
analysis and Bayesian network modeling. Intersection two-vehicle crash data was obtained …

Autonomous driving testing scenario generation based on in-depth vehicle-to-powered two-wheeler crash data in China

X Wang, Y Peng, T Xu, Q Xu, X Wu, G Xiang… - Accident Analysis & …, 2022 - Elsevier
A reliable critical-scenario-based safety assessment of autonomous vehicles in China
requires a thorough understanding of complex crash scenarios in Chinese background …

Continuous decision‐making for autonomous driving at intersections using deep deterministic policy gradient

G Li, S Li, S Li, X Qu - IET Intelligent Transport Systems, 2022 - Wiley Online Library
Intersections have been identified as the most complex and accident‐prone traffic scenarios
on road. Making appropriate decisions at intersections for driving safety, efficiency, and …

Identifying typical pre-crash scenarios based on in-depth crash data with deep embedded clustering for autonomous vehicle safety testing

R Zhou, H Huang, J Lee, X Huang, J Chen… - Accident Analysis & …, 2023 - Elsevier
Choosing appropriate scenarios is critical for autonomous vehicles (AVs) safety testing. Real-
world crash scenarios can be used as critical scenarios to test the safety performance of …

Effectiveness of road safety interventions: An evidence and gap map

R Goel, G Tiwari, M Varghese, K Bhalla… - Campbell systematic …, 2024 - Wiley Online Library
Abstract Background Road Traffic injuries (RTI) are among the top ten leading causes of
death in the world resulting in 1.35 million deaths every year, about 93% of which occur in …