Public vehicle ETA system using machine learning

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

Bibliographic Details
Main Authors:	Kabir, Md. Miraz, Akil, Farhan Sadik, Mahmood, Ohinur Makamay
Other Authors:	Chakrabarty, Amitabha
Format:	Thesis
Language:	English
Published:	BRAC University 2018
Subjects:	Traffic jam Public transport Regression analysis
Online Access:	http://hdl.handle.net/10361/10200

id	10361-10200
record_format	dspace
spelling	10361-102002022-01-26T10:15:50Z Public vehicle ETA system using machine learning Kabir, Md. Miraz Akil, Farhan Sadik Mahmood, Ohinur Makamay Chakrabarty, Amitabha Department of Computer Science and Engineering, BRAC University Traffic jam Public transport Regression analysis This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Cataloged from PDF version of thesis. Includes bibliographical references. Traffic Jam impact our day to day life in more ways than we can think of. Our system aims to work on that particular problem to reduce the number of vehicles on the road by encouraging more people to get on public transport to make public transport more efficient for the people who are less keen on taking them due to time delays. Our system uses regression analysis on a data set collected on a specific route to estimate the arrival time of a public transport at a desired travel time. This gives the user a clear idea of the time required to travel between points and thus can utilize their time in an efficient way by not having to wait for a transport. The system uses a compiled data set to analyze historical data and then use regression analysis to predict the arrival time for particular location of the user. Md. Miraz Kabir Farhan Sadik Akil Ohinur Makamay Mahmood B. Computer Science and Engineering 2018-05-27T03:20:50Z 2018-05-27T03:20:50Z 2018 2018-04 Thesis ID 14201010 ID 14101155 ID 16341014 http://hdl.handle.net/10361/10200 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. application/pdf BRAC University
institution	Brac University
collection	Institutional Repository
language	English
topic	Traffic jam Public transport Regression analysis
spellingShingle	Traffic jam Public transport Regression analysis Kabir, Md. Miraz Akil, Farhan Sadik Mahmood, Ohinur Makamay Public vehicle ETA system using machine learning
description	This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
author2	Chakrabarty, Amitabha
author_facet	Chakrabarty, Amitabha Kabir, Md. Miraz Akil, Farhan Sadik Mahmood, Ohinur Makamay
format	Thesis
author	Kabir, Md. Miraz Akil, Farhan Sadik Mahmood, Ohinur Makamay
author_sort	Kabir, Md. Miraz
title	Public vehicle ETA system using machine learning
title_short	Public vehicle ETA system using machine learning
title_full	Public vehicle ETA system using machine learning
title_fullStr	Public vehicle ETA system using machine learning
title_full_unstemmed	Public vehicle ETA system using machine learning
title_sort	public vehicle eta system using machine learning
publisher	BRAC University
publishDate	2018
url	http://hdl.handle.net/10361/10200
work_keys_str_mv	AT kabirmdmiraz publicvehicleetasystemusingmachinelearning AT akilfarhansadik publicvehicleetasystemusingmachinelearning AT mahmoodohinurmakamay publicvehicleetasystemusingmachinelearning
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Public vehicle ETA system using machine learning

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