Traffic congestion reduction in SUMO using reinforcement learning method

Traffic congestion reduction in SUMO using reinforcement learning method

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Détails bibliographiques
Auteurs principaux: Mouly, Radia Rahman, Rini, Puja Roy, Ethic, Ahsan Habib, Ayon, Mahdi Islam
Autres auteurs: Md. Khalilur Rahman
Format: Thèse
Langue:English
Publié: Brac University 2021
Sujets:
Traffic congestion
Reinforcement learning
Q-learning
Greedy approach
SARSA
Bias-Q-learning
MDP
SUMO
Reinforcement learning.
Accès en ligne:http://hdl.handle.net/10361/15728

Internet

http://hdl.handle.net/10361/15728

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