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 …
Advances in Single-vehicle intelligence of automated driving has encountered great challenges because of limited capabilities in perception and interaction with complex traffic …
C Wu, Z Cai, Y He, X Lu - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Vehicle Group Intelligence (VGI) represents a significant research domain that contributes to the advancement of intelligent transportation systems. This study employs bibliometric …
This paper presents a Vehicle-Platoon-Aware Bi-Level Optimization Algorithm for Autonomous Intersection Management (VPA-AIM) to coordinate the merging of Connected …
Autonomous driving (AD) and Cooperative Driving Automation (CDA) hold great promise for transforming mobility. However, current off-the-shelf AD or CDA platforms such as Autoware …
X Xia, Z Meng, X Han, H Li, T Tsukiji, R Xu… - arXiv preprint arXiv …, 2022 - arxiv.org
This paper presents an automated driving system (ADS) data acquisition and processing platform for vehicle trajectory extraction, reconstruction, and evaluation based on connected …
Cooperative Driving Automation (CDA) stands at the forefront of the evolving landscape of vehicle automation, elevating driving capabilities within intricate real-world environments …
Z Zhou, F Zhu, D Xu, B Chen, S Guo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper investigates the event-triggered fixed-time multi-lane fusion control for vehicle platoon systems with distance keeping constraints where the vehicles are spread in multiple …
C Tang, L Pan, J Xia, S Fan - Machines, 2023 - mdpi.com
Taking into account the issues faced by self-driving vehicles in multilane expressway scenarios, a lane-change decision planning framework that considers two adjacent lanes is …