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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Main Authors: Mohd Fuad, Yasak, Mohamad Heerwan, Peeie, Vimal Rau, Aparow
Format: Article
Language:English
Published: Elsevier Ltd 2025
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/43869/
http://umpir.ump.edu.my/id/eprint/43869/1/Pulished%20Journal%20Fuad.pdf
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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.
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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