Secure operations of connected and autonomous vehicles

J Han, Z Ju, X Chen, M Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With features of collaborative interaction and autonomous decision-making, connected and
autonomous vehicles (CAVs) offer a viable solution for a sustainable and efficient future of …

Emerging trends in intelligent vehicles: The IEEE TIV perspective

H Zhang, J Guo, G Luo, L Li, X Na… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This article is focused on bibliographic analysis and collaboration pattern analysis of the text
papers published in the IEEE Transactions on Intelligent Vehicles (TIV) from January 2019 …

Dynamic testing for autonomous vehicles using random quasi monte carlo

J Ge, J Zhang, C Chang, Y Zhang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The substantial resource usage required to create ample scenarios for testing Autonomous
Vehicles (AV) presents a bottleneck in their implementation. At present, research relies on …

Genai-powered multi-agent paradigm for smart urban mobility: Opportunities and challenges for integrating large language models (llms) and retrieval-augmented …

H Xu, J Yuan, A Zhou, G Xu, W Li, X Ban… - arXiv preprint arXiv …, 2024 - arxiv.org
Leveraging recent advances in generative AI, multi-agent systems are increasingly being
developed to enhance the functionality and efficiency of smart city applications. This paper …

Impact of driving prediction on headway and velocity in car-following model under V2X environment

S Yadav, P Redhu - Physica A: Statistical Mechanics and its Applications, 2024 - Elsevier
The car-following model holds significant importance within the realm of the microscopic
approach for examining the dynamic behavior of traffic and creating safe collaborative …

Data-driven Traffic Simulation: A Comprehensive Review

D Chen, M Zhu, H Yang, X Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Autonomous vehicles (AVs) have the potential to significantly revolutionize society by
providing a secure and efficient mode of transportation. Recent years have witnessed …

Energy and environmental implications of automated vehicles under mixed autonomy traffic environment

Z Wang, Q Cheng, P Liu, W Yu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the evolution of technologies related to automated vehicles (AVs), vehicles with
automation are increasingly approaching large-scale deployment nowadays. This research …

Scenario-Function System for Automotive Intelligent Cockpits: Framework, Research Progress and Perspectives

H Chen, R Gao, L Fan, E Liu, W Li… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The innovative development of intelligent cockpit scenarios and functions brings
increasingly enhanced user experiences to drivers and passengers in intelligent vehicles …

Investigating the Effects of Human-Machine Interface on Cooperative Driving Using a Multi-Driver Co-Simulation Platform

Z Wang, M Abdel-Aty, L Yue, J Zhu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Cooperative driving in a Connected Vehicle (CV) environment has received increasing
attention over the years due to its ability to enhance driving safety and efficiency. For a …

Intelligent vehicle driving decision-making model based on variational AutoEncoder network and deep reinforcement learning

S Wang, Z Wang, X Wang, Q Liang, L Meng - Expert Systems with …, 2025 - Elsevier
In this paper, an end-to-end driving decision-making model is proposed for intelligent
vehicle, utilizing a Variational AutoEncoder (VAE) network and Deep Reinforcement …