Collision avoidance strategies in autonomous vehicles and on-ramp scenario: A review
Collision avoidance (CA) in autonomous vehicles (AVs) is essential for the safety and efficiency of modern transportation systems. This paper delves into various strategies and methodologies for CA, categorizing them to improve clarity and comprehension. The research primarily reviews peer-reviewed...
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| Format: | Article |
| Language: | English |
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Elsevier Ltd
2025
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| Online Access: | http://umpir.ump.edu.my/id/eprint/43869/ http://umpir.ump.edu.my/id/eprint/43869/1/Pulished%20Journal%20Fuad.pdf |
| _version_ | 1848826978864463872 |
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| author | Mohd Fuad, Yasak Mohamad Heerwan, Peeie Vimal Rau, Aparow |
| author_facet | Mohd Fuad, Yasak Mohamad Heerwan, Peeie Vimal Rau, Aparow |
| author_sort | Mohd Fuad, Yasak |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Collision avoidance (CA) in autonomous vehicles (AVs) is essential for the safety and efficiency of modern transportation systems. This paper delves into various strategies and methodologies for CA, categorizing them to improve clarity and comprehension. The research primarily reviews peer-reviewed journals and conference proceedings from the past five years, though notable older studies are also considered. Non-ground AVs research was excluded from this analysis. The CA strategies identified are grouped into six categories: combination of path planning and path tracking control (PP + PTC), path planning (PP), steering, braking, combination of steering and braking, and other methods. Among these, the PP + PTC strategy was the most common, used in 44 cases (38.9%), followed by PP in 16 cases (14.2%), steering in 15 cases (13.3%), other methods and combination of steering and braking in 13 cases each (11.5%), and braking in 12 cases (10.6%). Additionally, the study highlights the on-ramp scenario as an area needing more research. For this scenario, connected AVs (CAV) was the most frequently studied strategy, with 11 cases, followed by machine learning approaches with 9 cases, and other methods with 3 cases. The results underscore the importance of the PP + PTC strategy for effective CA, as it combines PP with PTC to execute planned trajectories efficiently. These insights aim to aid in developing more robust and reliable CA systems in AVs, contributing to safer and more efficient transportation. |
| first_indexed | 2025-11-15T03:53:25Z |
| format | Article |
| id | ump-43869 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:53:25Z |
| publishDate | 2025 |
| publisher | Elsevier Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-438692025-07-22T02:21:46Z http://umpir.ump.edu.my/id/eprint/43869/ Collision avoidance strategies in autonomous vehicles and on-ramp scenario: A review Mohd Fuad, Yasak Mohamad Heerwan, Peeie Vimal Rau, Aparow TL Motor vehicles. Aeronautics. Astronautics Collision avoidance (CA) in autonomous vehicles (AVs) is essential for the safety and efficiency of modern transportation systems. This paper delves into various strategies and methodologies for CA, categorizing them to improve clarity and comprehension. The research primarily reviews peer-reviewed journals and conference proceedings from the past five years, though notable older studies are also considered. Non-ground AVs research was excluded from this analysis. The CA strategies identified are grouped into six categories: combination of path planning and path tracking control (PP + PTC), path planning (PP), steering, braking, combination of steering and braking, and other methods. Among these, the PP + PTC strategy was the most common, used in 44 cases (38.9%), followed by PP in 16 cases (14.2%), steering in 15 cases (13.3%), other methods and combination of steering and braking in 13 cases each (11.5%), and braking in 12 cases (10.6%). Additionally, the study highlights the on-ramp scenario as an area needing more research. For this scenario, connected AVs (CAV) was the most frequently studied strategy, with 11 cases, followed by machine learning approaches with 9 cases, and other methods with 3 cases. The results underscore the importance of the PP + PTC strategy for effective CA, as it combines PP with PTC to execute planned trajectories efficiently. These insights aim to aid in developing more robust and reliable CA systems in AVs, contributing to safer and more efficient transportation. Elsevier Ltd 2025-02-10 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/43869/1/Pulished%20Journal%20Fuad.pdf Mohd Fuad, Yasak and Mohamad Heerwan, Peeie and Vimal Rau, Aparow (2025) Collision avoidance strategies in autonomous vehicles and on-ramp scenario: A review. Annual Reviews in Control, 59 (100986). pp. 1-24. ISSN 1367-5788. (Published) https://doi.org/10.1016/j.arcontrol.2025.100986 10.1016/j.arcontrol.2025.100986 |
| spellingShingle | TL Motor vehicles. Aeronautics. Astronautics Mohd Fuad, Yasak Mohamad Heerwan, Peeie Vimal Rau, Aparow Collision avoidance strategies in autonomous vehicles and on-ramp scenario: A review |
| title | Collision avoidance strategies in autonomous vehicles and on-ramp scenario: A review |
| title_full | Collision avoidance strategies in autonomous vehicles and on-ramp scenario: A review |
| title_fullStr | Collision avoidance strategies in autonomous vehicles and on-ramp scenario: A review |
| title_full_unstemmed | Collision avoidance strategies in autonomous vehicles and on-ramp scenario: A review |
| title_short | Collision avoidance strategies in autonomous vehicles and on-ramp scenario: A review |
| title_sort | collision avoidance strategies in autonomous vehicles and on-ramp scenario: a review |
| topic | TL Motor vehicles. Aeronautics. Astronautics |
| url | http://umpir.ump.edu.my/id/eprint/43869/ http://umpir.ump.edu.my/id/eprint/43869/ http://umpir.ump.edu.my/id/eprint/43869/ http://umpir.ump.edu.my/id/eprint/43869/1/Pulished%20Journal%20Fuad.pdf |