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

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