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

被引:0
|
作者
He, Chao [1 ]
Jiang, Wenhui [1 ]
Li, Junting [1 ]
Wei, Jian [2 ]
Guo, Jiang [3 ]
Zhang, Qiankun [4 ]
机构
[1] Chongqing Three Gorges Univ, Sch Elect & Informat Engn, Chongqing 404130, Peoples R China
[2] Cent South Univ Forestry & Technol, Coll Informat & Engn, Swan Coll, Changsha 410211, Hunan, Peoples R China
[3] Chengdu Tangyuan Elect Co Ltd, Chengdu 610046, Sichuan, Peoples R China
[4] China Informat Technol Designing & Consulting Inst, Beijing 100048, Peoples R China
来源
WORLD ELECTRIC VEHICLE JOURNAL | 2024年 / 15卷 / 09期
关键词
intelligent vehicle; quintic polynomial; internet of vehicles; trajectory planning; real-time; DECISION;
D O I
10.3390/wevj15090403
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
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 lane change process rather than just the initiation point. Utilizing a fifth-order polynomial for trajectory planning, the strategy ensures smooth and continuous vehicle movement, reducing the risk of collisions. The effectiveness of the method is validated through comprehensive simulations and real-world vehicle tests, demonstrating significant improvements in lane change performance. Despite its advantages, the model requires further refinement to address limitations in mixed traffic conditions. This research provides a foundation for developing intelligent vehicle systems that prioritize safety and adaptability.
引用
收藏
页数:25
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