Decision-making and Trajectory Planning of Autonomous Vehicles in U-turn Scenarios

Guo-fu TIAN , Jia-qiang ZHENG

Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (18) : 7823 -7831.

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Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (18) : 7823-7831 DOI: 10.12404/j.issn.1671-1815.2405483
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Decision-making and Trajectory Planning of Autonomous Vehicles in U-turn Scenarios
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Abstract

Aiming at the U-turn scenario of autonomous vehicles in two-way single lanes, a safety decision-making method was proposed by fuzzy reasoning, and a U-turn mathematical model was established based on the spatial distribution relationship of vehicles, seven key control points were determined, the search strategy of particle swarm optimization was improved, and an efficient and comfortable U-turn trajectory planning method was proposed. The safety decision-making method firstly establishes a membership relationship between the relative distance between the vehicle and the vehicle on the target lane and the minimum safety distance during steering when making a U-turn, and selects the time with higher safety to make a U-turn. The trajectory planning method combines the spatial distribution characteristics of vehicles, improves the constraints of particle swarm optimization, and proposes a new search strategy, which can quickly converge to the optimal extreme value and plan the optimal path of U-turn. The results show that the proposed decision-making and trajectory planning methods can complete the U-turn safely and efficiently.

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autonomous driving / fuzzy inference / trajectory planning / particle swarm algorithm / mathematical models

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Guo-fu TIAN, Jia-qiang ZHENG. Decision-making and Trajectory Planning of Autonomous Vehicles in U-turn Scenarios. Science Technology and Engineering, 2025, 25(18): 7823-7831 DOI:10.12404/j.issn.1671-1815.2405483

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