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Huang, H. (author), Liu, Yicong (author), Liu, Jinxin (author), Yang, Q. (author), Wang, Jianqiang (author), Abbink, D.A. (author), Zgonnikov, A. (author)
This study presents a general optimal trajectory planning (GOTP) framework for autonomous vehicles (AVs) that can effectively avoid obstacles and guide AVs to complete driving tasks safely and efficiently. Firstly, we employ the fifth-order Bezier curve to generate and smooth the reference path along the road centerline. Cartesian coordinates...
journal article 2024
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Liu, M. (author), Zhao, J. (author), Hoogendoorn, S.P. (author), Wang, M. (author)
A joint control approach that simultaneously optimizes traffic signals and trajectories of cooperative (automated) vehicle platooning at urban intersections is presented in this paper. In the proposed approach, the signal phase lengths and the accelerations of the controlled platoons are optimized to maximize comfort and minimize travel delay...
journal article 2022
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Liu, M. (author), Zhao, J. (author), Hoogendoorn, S.P. (author), Wang, M. (author)
An integrated approach for optimising traffic signals and cooperative vehicle trajectories at urban intersections is proposed. The upper layer determines the optimal signals using enumeration and the lower layer optimises trajectories under each feasible signal plan. In the lower layer, platoon accelerations are optimised considering comfort...
journal article 2021