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 …
FV Monteiro, P Ioannou - Transportation research part C: emerging …, 2023 - Elsevier
Despite the recent advancements in autonomous vehicle technologies, performing safe lane changes and merging in dense traffic environments remains an open challenge. One …
Z Yang, X Zhang, D Wu, R Wang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Federated learning (FL) is a distributed machine learning paradigm that ensures data do not leave local devices. Data sharing problems can be addressed by FL in untrusted …
Vehicle automation, manifested in self-driving cars, promises to provide safe mobility by reducing human errors. While the testing of automated vehicles (AVs) has improved their …
A variety of stakeholders have put forth automated vehicle (AV) deployment timeline predictions over the past decade. To synthesize these predictions, we performed a …
Due to the absence of a human driver, the introduction of fully automated vehicles (FAVs) may bring new safety challenges to the traffic system, especially when FAVs interact with …
Around 90% of accidents stem from human error. Disruptive technology, especially automated vehicles (AVs), can respond to the problems by, for instance, eradicating human …
W Wu, S Chen, M Xiong, L Xing - Accident Analysis & Prevention, 2024 - Elsevier
Existing studies on autonomous intersection management (AIM) primarily focus on traffic efficiency, often overlooking the overall intersection safety, where conflict separation is …
Y Dai, Y Yang, Z Wang, YJ Luo - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
Abstract Connected and Autonomous Vehicle (CAV) platooning has gained attention for its potential for vastly enhancing capacity and safety of future transport systems. Previous …