Browsing by Subject "Traffic congestion"
Now showing items 1-7 of 7
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Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
(Brac University, 2019-04)Bangladesh being one of the most heavily populated country in the world, the traffic condition is worsening every year due to the increase of vehicle activities through- out the entire nation. Research claims that an average ... -
BIGD Quarterly, October –December, 2016
(BRAC University, 2016-12) -
A novel approach to forecast traffic congestion using CMTF and machine learning
(BRAC University, 2018-04)Traffic congestion severely affects many cities around the world causing various problems like fuel wastage, increased stress levels, delayed deliveries and monetary losses. Therefore, it is urgent to make an accurate ... -
Queueing theory based vehicular traffic management system through Jackson Network Model and Optimization
(Brac University, 2020-10)Vehicular Traffic congestion is a colossal factor of concern in different parts around the world, especially here in an overpopulated third world country such as Bangladesh. Spontaneous urbanization and vehicle policies ... -
Reducing traffic congestion level of Dhaka city using policy based algorithm in SUMO
(BRAC University, 2017)In recent times, traffic congestion has grabbed attention of many researchers to come up with a solution and minimize enormous economic loss which incurs because of it. In this paper, we evaluate impact of road incidents ... -
Reducing traffic congestion through ride sharing in Bangladesh: a case study of Dhaka City
(Brac University, 2020-02)Adequate transport infrastructure and services are prerequisite for sustainable economic and social development. Ride Sharing Services is the innovation of private sector worldwide. It has been introduced in Dhaka by the ... -
Travel time prediction using machine learning and weather impact on traffic conditions
(BRAC University, 2018)The growth of Intelligent Traffic System (ITS) have recently been quite fast and impressive. Analysis and prediction of network traffic has become a priority in day to day planning in social, economic and more widespread ...
