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A Universal Trajectory Planning Method for Automated Lane-Changing and Overtaking Maneuvers

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  • Ying Wang
  • Chong Wei

Abstract

Lane-changing and overtaking are conventional maneuvers on roads, and the reference trajectory is one of the prerequisites to execute these maneuvers. This study proposes a universal trajectory planning method for automated lane-changing and overtaking maneuvers, in which the trajectory is regarded as the combination of a path and its traffic state profiles. The two-dimensional path is represented by a suitable curve to connect the initial position with final position of the ego vehicle. Based on the planned path, its traffic state profiles are generated by solving a nonlinear mathematical optimization model. Moreover, the study discretizes the time horizon into several time intervals and determines the parameters to obtain the continuous and smooth profiles, which guarantees the safety and comfort of the ego vehicle. Finally, a series of simulation experiments are performed in the MATLAB platform and the results show the feasibility and effectiveness of the proposed universal trajectory planning method.

Suggested Citation

  • Ying Wang & Chong Wei, 2020. "A Universal Trajectory Planning Method for Automated Lane-Changing and Overtaking Maneuvers," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-13, April.
    • Handle: RePEc:hin:jnlmpe:1023975
    DOI: 10.1155/2020/1023975
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    Cited by:

    1. Tao Wang & Dayi Qu & Hui Song & Shouchen Dai, 2023. "A Hierarchical Framework of Decision Making and Trajectory Tracking Control for Autonomous Vehicles," Sustainability, MDPI, vol. 15(8), pages 1-28, April.

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