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.

Bibliographische Detailangaben
Hauptverfasser: Mouly, Radia Rahman, Rini, Puja Roy, Ethic, Ahsan Habib, Ayon, Mahdi Islam
Weitere Verfasser: Md. Khalilur Rahman
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2021
Schlagworte:
Traffic congestion
Reinforcement learning
Q-learning
Greedy approach
SARSA
Bias-Q-learning
MDP
SUMO
Reinforcement learning.
Online Zugang:http://hdl.handle.net/10361/15728

Online

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

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