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.

Bibliografiska uppgifter
Huvudupphovsmän: Mouly, Radia Rahman, Rini, Puja Roy, Ethic, Ahsan Habib, Ayon, Mahdi Islam
Övriga upphovsmän: Md. Khalilur Rahman
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2021
Ämnen:
Traffic congestion
Reinforcement learning
Q-learning
Greedy approach
SARSA
Bias-Q-learning
MDP
SUMO
Reinforcement learning.
Länkar:http://hdl.handle.net/10361/15728

Internet

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

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