Haijian Bai, Jianfeng Shen, Liyang Wei, and Zhongxiang Feng. Accelerated Lane-Changing Trajectory Planning of Automated Vehicles with Vehicle-to-Vehicle Collaboration
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影响因子：2.3
DOI码：10.1155/2017/8132769
发表刊物：Journal of Advanced Transportation
摘要：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.
论文类型：期刊论文
学科门类：工学
文献类型：J
卷号：2017
页面范围：8132769
ISSN号：0197-6729
是否译文：否
发表时间：2017-08-28
收录刊物：SCI