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Browsing by Subject "Traffic congestion"

Browsing by Subject "Traffic congestion"

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  • Ferdaus, Ahmad Istiak (Daffodil International University, 2019-05-11)
    Thedissertation,basedoncontentanalysis,observationandliteraturereview,detailstheaspectsofthepresent situationof‘Trafficjamindhakacityfromnewspaperreport’observedbynewspapertrafficcoverageinDhaka. In recenttime,wefacetr ...
  • Habiba, Umme; Koushik, Fazlul Ayan; Hossain, Md. Akbar (Daffodil International University, 2019-12)
    Traffic jam is one of the biggest problem of modern civilization. It can be avoided, by controlling traffic according to rising standards of single-board computer, computational technology, platforms, software packages ...
  • Sarkar, Md. Nafiul Islam; Hemal, Afrose-Al-Raza; Islam, Md. Monirul (Daffodil International University, 2020-01-08)
    Traffic is now a growing concern in most cities around the world. Inadequate traffic control wastes time and energy and causes harmful carbon emissions, road accidents and many economic problems. This thesis focuses on ...
  • Adnan, Md. Al Sharid; Liza, Most. Tajmin Akter; Biswas, Tanmay (Daffodil International University, 2022-01-02)
    Our paper is about Traffic Recognition System Using Machine Learning approach. The Artificial Intelligence is maintaining a notable development for overcome the gap among the deftness of human being and machine. The ...
  • TrafficNN 
    Al Mamun, Faisal; Shipu, Monjurur Kader; Razu, Shamim Hossen (Daffodil International University, 2021-05)
    Traffic congestion can affect different socio-economic aspects of a country. In order to perform better than traditional human effort in traffic control, an automated system must be developed. For reducing the traffic ...
  • Brahma, Surya Shankar; Hasanuzzman, Md.; Haque, Sumaya (Daffodil International University, 2020-10-04)
    The purpose behind this project is to detect, track & count vehicles from a real time camera & analyze if there is any traffic jam or not. In our country, specifically in Dhaka, we are suffering from severe traffic jam ...

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