A systematic survey of control techniques and applications in connected and automated vehicles

W Liu, M Hua, Z Deng, Z Meng, Y Huang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …

Vehicle connectivity and automation: A sibling relationship

P Ha, S Chen, R Du, J Dong, Y Li… - Frontiers in Built …, 2020 - frontiersin.org
The evolution of scientific advances has often been characterized by the amalgamation of
two or more technologies. With respect to vehicle connectivity and automation, recent …

Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles

S Chen, J Dong, P Ha, Y Li… - Computer‐Aided Civil and …, 2021 - Wiley Online Library
A connected autonomous vehicle (CAV) network can be defined as a set of connected
vehicles including CAVs that operate on a specific spatial scope that may be a road network …

A progressive review: Emerging technologies for ADAS driven solutions

J Nidamanuri, C Nibhanupudi, R Assfalg… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Over the last decade, the Advanced Driver Assistance System (ADAS) concept has evolved
significantly. ADAS involves several technologies such as automotive electronics, vehicle-to …

Why did the AI make that decision? Towards an explainable artificial intelligence (XAI) for autonomous driving systems

J Dong, S Chen, M Miralinaghi, T Chen, P Li… - … research part C …, 2023 - Elsevier
User trust has been identified as a critical issue that is pivotal to the success of autonomous
vehicle (AV) operations where artificial intelligence (AI) is widely adopted. For such …

Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range …

J Dong, S Chen, Y Li, R Du, A Steinfeld… - … Research Part C …, 2021 - Elsevier
The connectivity aspect of connected autonomous vehicles (CAV) is beneficial because it
facilitates dissemination of traffic-related information to vehicles through Vehicle-to-External …

Leveraging the capabilities of connected and autonomous vehicles and multi-agent reinforcement learning to mitigate highway bottleneck congestion

PYJ Ha, S Chen, J Dong, R Du, Y Li, S Labi - arXiv preprint arXiv …, 2020 - arxiv.org
Active Traffic Management strategies are often adopted in real-time to address such sudden
flow breakdowns. When queuing is imminent, Speed Harmonization (SH), which adjusts …

[PDF][PDF] Development and testing of an image transformer for explainable autonomous driving systems

J Dong, S Chen, M Miralinaghi… - Journal of Intelligent …, 2022 - ieeexplore.ieee.org
Purpose-Perception has been identified as the main cause underlying most autonomous
vehicle related accidents. As the key technology in perception, deep learning (DL) based …

Leveraging vehicle connectivity and autonomy for highway bottleneck congestion mitigation using reinforcement learning

P Ha, S Chen, J Dong, S Labi - Transportmetrica A: Transport …, 2023 - Taylor & Francis
Automation and connectivity based platforms have great potential for managing highway
traffic congestion including bottlenecks. Speed harmonisation (SH), one of such platforms, is …

A cooperative control framework for CAV lane change in a mixed traffic environment

R Du, S Chen, Y Li, J Dong, PYJ Ha, S Labi - arXiv preprint arXiv …, 2020 - arxiv.org
In preparing for connected and autonomous vehicles (CAVs), a worrisome aspect is the
transition era which will be characterized by mixed traffic (where CAVs and human-driven …