A survey on urban traffic control under mixed traffic environment with connected automated vehicles

J Li, C Yu, Z Shen, Z Su, W Ma - Transportation research part C: emerging …, 2023 - Elsevier
Efficient traffic control can alleviate traffic congestion, reduce fuel consumption, and improve
traffic safety. With the development of communication and automation technologies, regular …

Trends and emerging technologies for the development of electric vehicles

T Mo, Y Li, K Lau, CK Poon, Y Wu, Y Luo - Energies, 2022 - mdpi.com
In response to severe environmental and energy crises, the world is increasingly focusing
on electric vehicles (EVs) and related emerging technologies. Emerging technologies for …

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 …

Milestones in autonomous driving and intelligent vehicles—Part I: Control, computing system design, communication, HD map, testing, and human behaviors

L Chen, Y Li, C Huang, Y Xing, D Tian… - … on Systems, Man …, 2023 - ieeexplore.ieee.org
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

[HTML][HTML] Trust in artificial intelligence: From a Foundational Trust Framework to emerging research opportunities

R Lukyanenko, W Maass, VC Storey - Electronic Markets, 2022 - Springer
With the rise of artificial intelligence (AI), the issue of trust in AI emerges as a paramount
societal concern. Despite increased attention of researchers, the topic remains fragmented …

[HTML][HTML] On the road safety benefits of advanced driver assistance systems in different driving contexts

L Masello, G Castignani, B Sheehan, F Murphy… - Transportation research …, 2022 - Elsevier
Abstract Advanced Driver Assistance Systems (ADAS) have introduced several benefits in
the vehicular industry, and their proliferation presents potential opportunities to decrease …

Safebench: A benchmarking platform for safety evaluation of autonomous vehicles

C Xu, W Ding, W Lyu, Z Liu, S Wang… - Advances in …, 2022 - proceedings.neurips.cc
As shown by recent studies, machine intelligence-enabled systems are vulnerable to test
cases resulting from either adversarial manipulation or natural distribution shifts. This has …

A survey on data-driven scenario generation for automated vehicle testing

J Cai, W Deng, H Guang, Y Wang, J Li, J Ding - Machines, 2022 - mdpi.com
Automated driving is a promising tool for reducing traffic accidents. While some companies
claim that many cutting-edge automated driving functions have been developed, how to …

Artificial intelligence and Machine Learning for Real-world problems (A survey)

H Nozari, ME Sadeghi - International Journal of Innovation in Engineering, 2021 - ijie.ir
Today, the use of machine learning and artificial intelligence due to many advantages such
as simplicity, high speed, high accuracy in predicting various processes, no need for …

Modeling driver's evasive behavior during safety–critical lane changes: Two-dimensional time-to-collision and deep reinforcement learning

H Guo, K Xie, M Keyvan-Ekbatani - Accident Analysis & Prevention, 2023 - Elsevier
Lane changes are complex driving behaviors and frequently involve safety–critical
situations. This study aims to develop a lane-change-related evasive behavior model, which …