Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 15, issue 2
Articles | Volume 15, issue 2
https://doi.org/10.5194/ms-15-613-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-15-613-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 2
Research article
 | 
08 Nov 2024
Research article |  | 08 Nov 2024

A path-planning algorithm for autonomous vehicles based on traffic stability criteria: the AS-IAPF algorithm

Minqing Zhao, Xuan Li, Yuming Lu, Hongxi Wang, and Shanping Ning

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Short summary
Urban traffic congestion, obstacle avoidance, and driving efficiency are significant challenges for driverless-vehicle path planning in urban environments. The traditional artificial potential field (APF) algorithm is inadequate for meeting efficiency and safety requirements in path planning. This paper proposes a new AS-IAPF path-planning algorithm by introducing stability criteria to enhance target accessibility for autonomous vehicles under dynamic and complex traffic conditions.
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