Drone-Assisted Lane Change Maneuver using Reinforcement Learning with Dynamic Reward Function

Jialin Hao; Rola Naja; Djamal Zeghlache

doi:10.1109/WiMob55322.2022.9941534

Drone-Assisted Lane Change Maneuver using Reinforcement Learning with Dynamic Reward Function

Jialin Hao
, Rola Naja
, Djamal Zeghlache

Telecom Sudparis
Laboratoire Licorne
Université Versailles-Saint Quentin

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

Résumé

This paper provides a Lane Change Assistance (LCA) platform that communicates with Unmanned Aerial Vehi-cles (UAV). The proposed platform is based on a reinforcement learning technique, where a Deep Q-Network (DQN) is trained to make lane change decisions. The reward function of the DQN agent considers safety, comfort and efficiency perspectives. Specifically, the safety reward, based on the road vehicular density, is adapted dynamically by the drone during the training phase. Performance analysis proves that the proposed platform improves the total travel time while reducing the collision rate and responding to urgent lane changes in a timely manner.

langue originale	Anglais
titre	2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2022
Editeur	IEEE Computer Society
Pages	314-320
Nombre de pages	7
ISBN (Electronique)	9781665469753
Les DOIs	https://doi.org/10.1109/WiMob55322.2022.9941534
état	Publié - 1 janv. 2022
Evénement	18th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2022 - Thessaloniki, Grcce Durée: 10 oct. 2022 → 12 oct. 2022

Série de publications

Nom	International Conference on Wireless and Mobile Computing, Networking and Communications
Volume	2022-October
ISSN (imprimé)	2161-9646
ISSN (Electronique)	2161-9654

Une conférence

Une conférence	18th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2022
Pays/Territoire	Grcce
La ville	Thessaloniki
période	10/10/22 → 12/10/22

Accès au document

10.1109/WiMob55322.2022.9941534

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Lien vers la publication dans Scopus

Contient cette citation

Hao, J., Naja, R., & Zeghlache, D. (2022). Drone-Assisted Lane Change Maneuver using Reinforcement Learning with Dynamic Reward Function. Dans 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2022 (p. 314-320). (International Conference on Wireless and Mobile Computing, Networking and Communications; Vol 2022-October). IEEE Computer Society. https://doi.org/10.1109/WiMob55322.2022.9941534

Hao, Jialin ; Naja, Rola ; Zeghlache, Djamal. / Drone-Assisted Lane Change Maneuver using Reinforcement Learning with Dynamic Reward Function. 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2022. IEEE Computer Society, 2022. p. 314-320 (International Conference on Wireless and Mobile Computing, Networking and Communications).

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title = "Drone-Assisted Lane Change Maneuver using Reinforcement Learning with Dynamic Reward Function",

abstract = "This paper provides a Lane Change Assistance (LCA) platform that communicates with Unmanned Aerial Vehi-cles (UAV). The proposed platform is based on a reinforcement learning technique, where a Deep Q-Network (DQN) is trained to make lane change decisions. The reward function of the DQN agent considers safety, comfort and efficiency perspectives. Specifically, the safety reward, based on the road vehicular density, is adapted dynamically by the drone during the training phase. Performance analysis proves that the proposed platform improves the total travel time while reducing the collision rate and responding to urgent lane changes in a timely manner.",

keywords = "dynamic reward function, lane change, reinforcement learning",

author = "Jialin Hao and Rola Naja and Djamal Zeghlache",

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Hao, J, Naja, R & Zeghlache, D 2022, Drone-Assisted Lane Change Maneuver using Reinforcement Learning with Dynamic Reward Function. Dans 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2022. International Conference on Wireless and Mobile Computing, Networking and Communications, VOL. 2022-October, IEEE Computer Society, p. 314-320, 18th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2022, Thessaloniki, Grcce, 10/10/22. https://doi.org/10.1109/WiMob55322.2022.9941534

Drone-Assisted Lane Change Maneuver using Reinforcement Learning with Dynamic Reward Function. / Hao, Jialin; Naja, Rola; Zeghlache, Djamal.
2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2022. IEEE Computer Society, 2022. p. 314-320 (International Conference on Wireless and Mobile Computing, Networking and Communications; Vol 2022-October).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

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AB - This paper provides a Lane Change Assistance (LCA) platform that communicates with Unmanned Aerial Vehi-cles (UAV). The proposed platform is based on a reinforcement learning technique, where a Deep Q-Network (DQN) is trained to make lane change decisions. The reward function of the DQN agent considers safety, comfort and efficiency perspectives. Specifically, the safety reward, based on the road vehicular density, is adapted dynamically by the drone during the training phase. Performance analysis proves that the proposed platform improves the total travel time while reducing the collision rate and responding to urgent lane changes in a timely manner.

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Hao J, Naja R, Zeghlache D. Drone-Assisted Lane Change Maneuver using Reinforcement Learning with Dynamic Reward Function. Dans 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2022. IEEE Computer Society. 2022. p. 314-320. (International Conference on Wireless and Mobile Computing, Networking and Communications). doi: 10.1109/WiMob55322.2022.9941534

Drone-Assisted Lane Change Maneuver using Reinforcement Learning with Dynamic Reward Function

Résumé

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