A survey on automated driving system testing: Landscapes and trends

S Tang, Z Zhang, Y Zhang, J Zhou, Y Guo… - ACM Transactions on …, 2023 - dl.acm.org
Automated Driving Systems (ADS) have made great achievements in recent years thanks to
the efforts from both academia and industry. A typical ADS is composed of multiple modules …

Accident scenario generation with recurrent neural networks

IR Jenkins, LO Gee, A Knauss, H Yin… - 2018 21st …, 2018 - ieeexplore.ieee.org
There is a lack of approaches to derive accident scenarios automatically for the testing of
Autonomous Drive systems. Current approaches that generate test scenarios do not scale …

Application of naturalistic driving data: A systematic review and bibliometric analysis

MR Alam, D Batabyal, K Yang, T Brijs… - Accident Analysis & …, 2023 - Elsevier
The application of naturalistic driving data (NDD) has the potential to answer critical
research questions in the area of driving behavior assessment, as well as the impact of …

Behavioral decision‐making model of the intelligent vehicle based on driving risk assessment

X Zheng, H Huang, J Wang, X Zhao… - Computer‐Aided Civil …, 2021 - Wiley Online Library
Intelligent‐driving technologies play crucial roles in reducing road‐traffic accidents and
ensuring more convenience while driving. One of the significant challenges in developing …

Autonomous highway driving using reinforcement learning with safety check system based on time-to-collision

X Nie, Y Liang, K Ohkura - Artificial Life and Robotics, 2023 - Springer
Decision making is an essential component of autonomous vehicle technology and received
significant attention from academic and industry organizations. One of the promising …

Human-Like Control for Automated Vehicles and Avoiding “Vehicle Face-Off” in Unprotected Left Turn Scenarios

J Chen, D Sun, M Zhao - IEEE transactions on intelligent …, 2022 - ieeexplore.ieee.org
Safely and efficiently completing unprotected left turns at intersections is challenging for both
automated vehicles and human drivers, given that it is hard to predict the intentions of other …

Synthesis of different autonomous vehicles test approaches

Z Huang, M Arief, H Lam, D Zhao - 2018 21st International …, 2018 - ieeexplore.ieee.org
Currently, the most prevalent way to evaluate an autonomous vehicle is to directly test it on
the public road. However, because of recent accidents caused by autonomous vehicles, it …

Exploring the Influence of Truck Proportion on Freeway Traffic Safety Using Adaptive Network‐Based Fuzzy Inference System

S Zhang, Y Xing, J Lu, HM Zhang - Journal of advanced …, 2019 - Wiley Online Library
The truck operation of freeway has an impact on traffic safety. In particular, the gradually
increasing in truck proportion will inevitably affect the freeway traffic operation of different …

Evaluating and diagnosing road intersection operation performance using floating car data

D Chen, X Yan, F Liu, X Liu, L Wang, J Zhang - Sensors, 2019 - mdpi.com
Urban road intersections play an important role in deciding the total travel time and the
overall travel efficiency. In this paper, an innovative traffic grid model has been proposed …

Behavioral competence tests for highly automated vehicles

X Wang, Y Dong, S Xu, H Peng… - 2020 IEEE Intelligent …, 2020 - ieeexplore.ieee.org
It is necessary to evaluate the safety of highly automated vehicles (HAVs) rigorously before
their deployment on public roads. This paper describes a procedure to conduct behavioral …