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

Minqing Zhao,

Xuan Li, Yuming Lu

и другие.

Mechanical sciences, Год журнала: 2024, Номер 15(2), С. 613 - 631

Опубликована: Ноя. 8, 2024

Abstract. Urban traffic congestion, obstacle avoidance, and driving efficiency are the challenges faced by autonomous-vehicle path-planning technology in cities. The traditional artificial potential field (APF) algorithm is insufficient to meet requirements of safety path planning, as it easily gets trapped local optima when dealing with complex environments. Therefore, this paper proposes a novel AS-IAPF more efficiently enhance target reachability autonomous vehicles Firstly, analyzes elucidates macroscopic model, achieving effective modeling dynamic flow stability based on Lyapunov theorem classical 1D model. Thus, threshold discriminant formula for element obtained. Secondly, aforementioned formula, new proposed. mainly includes two aspects: firstly, pre-generating initial paths introducing Gaussian oscillation coefficient force fields, avoids falling into optima; secondly, using dimensional adjustment adaptively improving adjusting strength AS-APF repulsive field, further improves planning. Finally, subjected joint simulations 2D 3D scenarios different types. research results show that outperforms other algorithms same type respect comprehensive performance multiple scenario simulation experiments. In experiments three typical scenarios, proposed can drive effectively perform corresponding avoidance actions actual ahead, ultimately safe avoidance. method while considering vehicles, providing promising approach reference planning vehicles.

Язык: Английский

A review on clustering algorithms for spatiotemporal seismicity analysis DOI Creative Commons
Rahul Kumar Vijay, Satyasai Jagannath Nanda,

Ashish Sharma

и другие.

Artificial Intelligence Review, Год журнала: 2025, Номер 58(8)

Опубликована: Май 3, 2025

Язык: Английский

Процитировано

0
A path-planning algorithm for autonomous vehicles based on traffic stability criteria: the AS-IAPF algorithm DOI Creative Commons

Minqing Zhao,

Xuan Li, Yuming Lu

и другие.

Mechanical sciences, Год журнала: 2024, Номер 15(2), С. 613 - 631

Опубликована: Ноя. 8, 2024

Abstract. Urban traffic congestion, obstacle avoidance, and driving efficiency are the challenges faced by autonomous-vehicle path-planning technology in cities. The traditional artificial potential field (APF) algorithm is insufficient to meet requirements of safety path planning, as it easily gets trapped local optima when dealing with complex environments. Therefore, this paper proposes a novel AS-IAPF more efficiently enhance target reachability autonomous vehicles Firstly, analyzes elucidates macroscopic model, achieving effective modeling dynamic flow stability based on Lyapunov theorem classical 1D model. Thus, threshold discriminant formula for element obtained. Secondly, aforementioned formula, new proposed. mainly includes two aspects: firstly, pre-generating initial paths introducing Gaussian oscillation coefficient force fields, avoids falling into optima; secondly, using dimensional adjustment adaptively improving adjusting strength AS-APF repulsive field, further improves planning. Finally, subjected joint simulations 2D 3D scenarios different types. research results show that outperforms other algorithms same type respect comprehensive performance multiple scenario simulation experiments. In experiments three typical scenarios, proposed can drive effectively perform corresponding avoidance actions actual ahead, ultimately safe avoidance. method while considering vehicles, providing promising approach reference planning vehicles.

Язык: Английский

Процитировано

0