Reducing traffic congestion level of Dhaka city using policy based algorithm in SUMO
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.
| Main Authors: | Islam, Khandker Mushfiqul, Ahmed, Shihab Uddin |
|---|---|
| Outros autores: | Chakrabarty, Dr. Amitabha |
| Formato: | Thesis |
| Idioma: | English |
| Publicado: |
BRAC University
2018
|
| Subjects: | |
| Acceso en liña: | http://hdl.handle.net/10361/8916 |
Títulos similares
-
Traffic congestion reduction in SUMO using reinforcement learning method
por: Mouly, Radia Rahman, et al.
Publicado: (2021) -
IoT based smart traffic control system using sumo traffic simulator
por: Hossain, Sk Md Sunny, et al.
Publicado: (2021) -
Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
por: Saquib, Muhammad Sadman, et al.
Publicado: (2019) -
A machine learning approach to predicting and mitigating traffic congestion
por: Faisal, Abu Fatah Mohammed, et al.
Publicado: (2024) -
Traffic congestions in Dhaka and socio-economic development in Bangladesh: some micro and macro-level connections
por: Ahmed, Ansar
Publicado: (2017)