Hybrid A*-Based Reverse Path-Planning of a Vehicle with Single Trailer

Reverse parking maneuvering of a vehicle with a trailer system is a difficult task to complete for human drivers due to the multi-body nature of the system and the unintuitive controls required to orientate the trailer properly. The problem is complicated with the presence of other vehicles that the trailer and its connected vehicle must avoid during the reverse parking maneuver. While path-planning methods in reverse motion for vehicles with trailers exist, there is a lack of results that also offer collision avoidance as part of the algorithm. This paper hence proposes a modified Hybrid A*-based algorithm that can accommodate the vehicle–trailer system as well as collision avoidance considerations with the other vehicles and obstacles in the parking environment. One of the novelties of this proposed approach is its adaptability to the vehicle with trailer system, where limits of usable steering input that prevent the occurrence of jackknife incidents vary with respect to system configuration. The other contribution is the addition of the collision avoidance functionality which the standard Hybrid A* algorithm lacks. The method is developed and presented first, followed by simulation case studies to demonstrate the efficacy of the proposed approach.

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Publication Details

Journal
Electronics
Published
2026-03-07
DOI
https://doi.org/10.3390/electronics15051114
Primary Topic
Robotic Path Planning Algorithms
Type
article
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article

Hybrid A*-Based Reverse Path-Planning of a Vehicle with Single Trailer

Haochong Chen, Shihong Fan, Peter Richmond, Xincheng Cao et al.
Electronics
Robotic Path Planning Algorithms
article

Hybrid A*-Based Reverse Path-Planning of a Vehicle with Single Trailer

Haochong Chen, Shihong Fan, Peter Richmond, Xincheng Cao, Dokyung Yim, John Harber, Bilin Aksun-Guvenc, Brian Link, Levent Guvenc
article en

Abstract

Reverse parking maneuvering of a vehicle with a trailer system is a difficult task to complete for human drivers due to the multi-body nature of the system and the unintuitive controls required to orientate the trailer properly. The problem is complicated with the presence of other vehicles that the trailer and its connected vehicle must avoid during the reverse parking maneuver. While path-planning methods in reverse motion for vehicles with trailers exist, there is a lack of results that also offer collision avoidance as part of the algorithm. This paper hence proposes a modified Hybrid A*-based algorithm that can accommodate the vehicle–trailer system as well as collision avoidance considerations with the other vehicles and obstacles in the parking environment. One of the novelties of this proposed approach is its adaptability to the vehicle with trailer system, where limits of usable steering input that prevent the occurrence of jackknife incidents vary with respect to system configuration. The other contribution is the addition of the collision avoidance functionality which the standard Hybrid A* algorithm lacks. The method is developed and presented first, followed by simulation case studies to demonstrate the efficacy of the proposed approach.

ElectronicsVol. 15(5)
Kia Motors (South Korea) (KR), The Ohio State University (US)
Sustainable cities and communities
Openalex Percentile: Top 32%
Robotic Path Planning Algorithms
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Hybrid A*-Based Reverse Path-Planning of a Vehicle with Single Trailer — Haochong Chen, Shihong Fan, et al. · Electronics (2026) | TGRS Research Map | TGRS