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.

Detalles Bibliográficos
Autores principales: Mouly, Radia Rahman, Rini, Puja Roy, Ethic, Ahsan Habib, Ayon, Mahdi Islam
Otros Autores: Md. Khalilur Rahman
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2021
Materias:
Traffic congestion
Reinforcement learning
Q-learning
Greedy approach
SARSA
Bias-Q-learning
MDP
SUMO
Reinforcement learning.
Acceso en línea:http://hdl.handle.net/10361/15728

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