CN

Bai Haijian

Associate professor

Supervisor of Master's Candidates

Date of Birth:1980-12-31

Date of Employment:2010-07-14

School/Department:道路与交通工程系

Administrative Position:系副主任

Education Level:Postgraduate (Doctoral)

Business Address:屯溪路校区三立苑420

Gender:Male

Degree:Doctoral degree

Status:Employed

Academic Titles:教学

Alma Mater:东南大学

Discipline:Other specialties in Traffic and Transportation Engineering
Transportation Information Engineering and Control
Transportation Planning and Management

Paper Publications

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 Hits:

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

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