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Zhang, L., Su, T. and Yan, Y. (2021) Intelligent Vehicle Trajectory Planning Method Based on Sampling Area Optimization. Journal of Mechanical Engineering, 58, 276-287.

has been cited by the following article:

• TITLE: Application Research of an Intelligent Detection Algorithm for Vehicle Trajectory Route Deviation

  AUTHORS: Jianfei Luo, Yadong Xing, Cheng Chen, Weiqing Zhang, Zhongcheng Wu

  KEYWORDS: Vehicle Positioning Terminal, Vehicle Trajectory, Route Deviation, Real-Time, Segmentation Analysis Algorithm

  JOURNAL NAME: Journal of Computer and Communications, Vol.11 No.10, October 10, 2023

  ABSTRACT: In the vehicle trajectory application system, it is often necessary to detect whether the vehicle deviates from the specified route. Trajectory planning in the traditional route deviation detection is defined by the driver through the mobile phone navigation software, which plays a more auxiliary driving role. This paper presents a method of vehicle trajectory deviation detection. Firstly, the manager customizes the trajectory planning and then uses big data technologies to match the deviation between the trajectory planning and the vehicle trajectory. Finally, it achieves the supervisory function of the manager on the vehicle track route in real-time. The results show that this method could detect the vehicle trajectory deviation quickly and accurately, and has practical application value.