Traffic condition awareness using kalman filter technique with the aid of arduino and matlab embedded system author

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018.

מידע ביבליוגרפי
מחברים אחרים: Azad, Dr. A.K.M Abdul Malek
פורמט: Thesis
שפה:English
יצא לאור: BRAC University 2018
נושאים:
גישה מקוונת:http://hdl.handle.net/10361/11059
id 10361-11059
record_format dspace
spelling 10361-110592019-09-30T04:55:07Z Traffic condition awareness using kalman filter technique with the aid of arduino and matlab embedded system author Azad, Dr. A.K.M Abdul Malek Department of Electrical and Electronic Engineering, BRAC University Traffic jam Awareness Kalman filter This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018. Catalogued from PDF version of thesis. Includes bibliographical references( page 54-55). Traffic congestion in the city of Dhaka is reaching a new pinnacle every day. Owing to numerous private cars and local buses, the gridlocks in Dhaka city can be termed as one of the worst in the world. In a recent study done by Bangladesh University of Engineering and Technology(BUET) and Accident Research Institute (ARI), it was stated that around 5 million working hours are being lost every year in Dhaka city due to traffic gridlocks. This results in a loss of worth Tk.37,000 crore. In order to resolve this issue and help manage the gargantuan problem, we decided to tackle this by the implementation of Kalman Filter in order to predict the level of congestion at a particular road according to time variance of the day. The reason for using Kalman Filter is because its accuracy. Other reasons being that it can be simulated using Matlab and can be constantly updated using the latest data. Samir Karim Soumik Shadman Nazmus Sa-Adat Mashrur Hasnaen B. Electrical and Electronic Engineering 2018-12-27T10:21:24Z 2018-12-27T10:21:24Z 2018 2018-08 Thesis ID 14321046 ID 14221009 ID 14221008 ID 18321059 http://hdl.handle.net/10361/11059 en BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 88 pages application/pdf BRAC University
institution Brac University
collection Institutional Repository
language English
topic Traffic jam
Awareness
Kalman filter
spellingShingle Traffic jam
Awareness
Kalman filter
Traffic condition awareness using kalman filter technique with the aid of arduino and matlab embedded system author
description This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018.
author2 Azad, Dr. A.K.M Abdul Malek
author_facet Azad, Dr. A.K.M Abdul Malek
format Thesis
title Traffic condition awareness using kalman filter technique with the aid of arduino and matlab embedded system author
title_short Traffic condition awareness using kalman filter technique with the aid of arduino and matlab embedded system author
title_full Traffic condition awareness using kalman filter technique with the aid of arduino and matlab embedded system author
title_fullStr Traffic condition awareness using kalman filter technique with the aid of arduino and matlab embedded system author
title_full_unstemmed Traffic condition awareness using kalman filter technique with the aid of arduino and matlab embedded system author
title_sort traffic condition awareness using kalman filter technique with the aid of arduino and matlab embedded system author
publisher BRAC University
publishDate 2018
url http://hdl.handle.net/10361/11059
_version_ 1814307627585241088