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Fuzzy Logic-Based Autonomous Lane Changing Strategy for Intelligent Internet of Vehicles: A Trajectory Planning Approach

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成果类型:
期刊论文
作者:
Qiankun Zhang;Junting Li;Chao He*;Wenhui Jiang;Jiang Guo;...
通讯作者:
Chao He
作者机构:
[Qiankun Zhang] China Information Technology Designing and Consulting Institute Co., Ltd., Beijing 100048, China
[Jian Wei] College of Information and Engineering, Swan College, Central South University of Forestry and Technology, Hunan 410211, China
[Junting Li; Wenhui Jiang] School of Electronic and Information Engineering, Chongqing Three Gorges University, Chongqing 404130, China
Author to whom correspondence should be addressed.
[Jiang Guo] Chengdu Tangyuan Electric Co., Ltd., Sichuan 610046, China
通讯机构:
[Chao He] S
School of Electronic and Information Engineering, Chongqing Three Gorges University, Chongqing 404130, China<&wdkj&>Author to whom correspondence should be addressed.
语种:
英文
关键词:
intelligent vehicle;quintic polynomial;internet of vehicles;trajectory planning;real-time
期刊:
World Electric Vehicle Journal
ISSN:
2032-6653
年:
2024
卷:
15
期:
9
页码:
403-
基金类别:
Conceptualization, C.H., Q.Z. and W.J.; methodology, W.J. and Q.Z.; software, J.L.; validation, C.H., W.J., J.W., Q.Z. and J.L.; formal analysis, J.G.; investigation, J.L.; resources, W.J.; data curation, W.J. and J.W.; writing—original draft preparation, C.H.; writing—review and editing, W.J.; visualization, J.L.; supervision, J.G. and J.W.; project administration, C.H.; funding acquisition, C.H. and Q.Z. All authors have read and agreed to the published version of the manuscript. This research was funded by the Key Project of Science and Technology Research Program of Chongqing Education Commission of China (No.KJZD-K202201203), the Science and Technology Research Program of Chongqing Municipal Education Commission (No. KJQN202301258), the Scientific Research Project of Wanzhou (No. wzstc20230315), and the Doctoral “Through Train” Scientific Research Project of Wanzhou (No. wzstc20230418).
机构署名:
本校为其他机构
院系归属:
涉外学院
摘要:
The autonomous lane change maneuver is a critical component in the advancement of intelligent transportation systems (ITS). To enhance safety and efficiency in dynamic traffic environments, this study introduces a novel autonomous lane change strategy leveraging a quintic polynomial function. To optimize the trajectory, we formulate an objective function that balances the time required for lane changes with the peak acceleration experienced during the maneuver. The proposed method addresses key challenges such as driver discomfort and prolonged lane change durations by considering the entire l...

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