Haijian Bai, Jianfeng Shen, Liyang Wei, and Zhongxiang Feng. Accelerated Lane-Changing Trajectory Planning of Automated Vehicles with Vehicle-to-Vehicle Collaboration
Release time:2024-03-21
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Impact Factor:2.3
DOI number:10.1155/2017/8132769
Journal:Journal of Advanced Transportation
Abstract:Considering the complexity of lane changing using automated vehicles and the frequency of turning lanes in city settings, this paper
aims to generate an accelerated lane-changing trajectory using vehicle-to-vehicle collaboration (V2VC). Based on the characteristics
of accelerated lane changing, we used a polynomial method and cooperative strategies for trajectory planning to establish a lanechanging model under different degrees of collaboration with the following vehicle in the target lane by considering vehicle
kinematics and comfort requirements. Furthermore, considering the shortcomings of the traditional elliptical vehicle and round
vehicle models, we established a rectangular vehicle model with collision boundary conditions by analysing the relationships
between the possible collision points and the outline of the vehicle. Then, we established a simulation model for the accelerated
lane-changing process in different environments under different degrees of collaboration. The results show that, by using V2VC,
we can achieve safe accelerated lane-changing trajectories and simultaneously satisfy the requirements of vehicle kinematics and
comfort control.
Indexed by:Journal paper
Discipline:Engineering
Document Type:J
Volume:2017
Page Number:8132769
ISSN No.:0197-6729
Translation or Not:no
Date of Publication:2017-08-28
Included Journals:SCI
Links to published journals:https://doi.org/10.1155/2017/8132769