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.

Bibliografski detalji
Glavni autori:	Mouly, Radia Rahman, Rini, Puja Roy, Ethic, Ahsan Habib, Ayon, Mahdi Islam
Daljnji autori:	Md. Khalilur Rahman
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2021
Teme:	Traﬃc congestion Reinforcement learning Q-learning Greedy approach SARSA Bias-Q-learning MDP SUMO Reinforcement learning.
Online pristup:	http://hdl.handle.net/10361/15728

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