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.
| Hoofdauteurs: | Islam, Khandker Mushfiqul, Ahmed, Shihab Uddin |
|---|---|
| Andere auteurs: | Chakrabarty, Dr. Amitabha |
| Formaat: | Thesis |
| Taal: | English |
| Gepubliceerd in: |
BRAC University
2018
|
| Onderwerpen: | |
| Online toegang: | http://hdl.handle.net/10361/8916 |
Gelijkaardige items
-
Traffic congestion reduction in SUMO using reinforcement learning method
door: Mouly, Radia Rahman, et al.
Gepubliceerd in: (2021) -
IoT based smart traffic control system using sumo traffic simulator
door: Hossain, Sk Md Sunny, et al.
Gepubliceerd in: (2021) -
Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
door: Saquib, Muhammad Sadman, et al.
Gepubliceerd in: (2019) -
A machine learning approach to predicting and mitigating traffic congestion
door: Faisal, Abu Fatah Mohammed, et al.
Gepubliceerd in: (2024) -
Traffic congestions in Dhaka and socio-economic development in Bangladesh: some micro and macro-level connections
door: Ahmed, Ansar
Gepubliceerd in: (2017)