Automatic parking path planning and tracking control under two-vehicle coordination

To improve the safety and efficiency of automated parking, a path planning and tracking control system for automated parking under dual-vehicle coordination is proposed. The Hybrid A* algorithm is modified to consider both the front wheel angle constraints of the vehicle and the collision-free constraints between vehicles while searching for a path. Based on whether cubic spline interpolation is used to smooth the path, the control system is divided into Parking System 1, with unsmoothed paths and Parking System 2, with smoothed paths. The AHP-TOPSIS method is used to calculate the weights of evaluation indicators, and the parking performance of different systems is evaluated based on the normalised system scores. Two application scenarios – vertical parking and parallel parking – were selected, and two operating conditions – two-vehicle cooperative parking in and cooperative parking in and out – were chosen for simulation analysis in PyCharm. The simulation results show that Parking System 2 outperforms Parking System 1 in the aforementioned operating conditions. In the vertical parking scenario, the parking performance of System 2 improved by at least 180.23% in both cooperative parking in and cooperative parking in and out conditions. In the parallel parking scenario, the parking performance improved by at least 181.53% in the cooperative parking-in scenario and by at least 99.04% in the cooperative parking-in and parking-out scenario.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Published
2025-09-28
DOI
https://doi.org/10.1177/09544070251370808
Primary Topic
Wireless Sensor Networks for Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Automatic parking path planning and tracking control under two-vehicle coordination

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Wireless Sensor Networks for Data Analysis
article

Automatic parking path planning and tracking control under two-vehicle coordination

article en

Abstract

To improve the safety and efficiency of automated parking, a path planning and tracking control system for automated parking under dual-vehicle coordination is proposed. The Hybrid A* algorithm is modified to consider both the front wheel angle constraints of the vehicle and the collision-free constraints between vehicles while searching for a path. Based on whether cubic spline interpolation is used to smooth the path, the control system is divided into Parking System 1, with unsmoothed paths and Parking System 2, with smoothed paths. The AHP-TOPSIS method is used to calculate the weights of evaluation indicators, and the parking performance of different systems is evaluated based on the normalised system scores. Two application scenarios – vertical parking and parallel parking – were selected, and two operating conditions – two-vehicle cooperative parking in and cooperative parking in and out – were chosen for simulation analysis in PyCharm. The simulation results show that Parking System 2 outperforms Parking System 1 in the aforementioned operating conditions. In the vertical parking scenario, the parking performance of System 2 improved by at least 180.23% in both cooperative parking in and cooperative parking in and out conditions. In the parallel parking scenario, the parking performance improved by at least 181.53% in the cooperative parking-in scenario and by at least 99.04% in the cooperative parking-in and parking-out scenario.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Chongqing University of Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 44%
Wireless Sensor Networks for Data Analysis
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