Crowd source based traffic analysis using machine learning algorithm

Crowd source based traffic analysis using machine learning algorithm

Cataloged from PDF version of thesis report.

Manylion Llyfryddiaeth
Prif Awduron: Orthy, Marzia Khan, Sharmin, Suraiya, Reshad, Ashraful Islam
Awduron Eraill: Chakrabarty, Dr. Amitabha
Fformat: Traethawd Ymchwil
Iaith:English
Cyhoeddwyd: BRAC Univeristy 2018
Pynciau:
Traffic analysis
Machine learning algorithm
Neural network
Mynediad Ar-lein:http://hdl.handle.net/10361/9013
id 10361-9013
record_format dspace
spelling 10361-90132022-01-26T10:21:54Z Crowd source based traffic analysis using machine learning algorithm Orthy, Marzia Khan Sharmin, Suraiya Reshad, Ashraful Islam Chakrabarty, Dr. Amitabha Department of Computer Science and Engineering, BRAC University Traffic analysis Machine learning algorithm Neural network Cataloged from PDF version of thesis report. Includes bibliographical references (page 47) This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. One of the most detrimental effects to our economy currently is most certainly Traffic jam. Be it in a public vehicle or private, valuable work hours (around 3.2 million per day) is wasted everyday while waiting in the traffic. While this problem cannot be overcome without proper urban planning and traffic management, there are definitely ways of providing the commuters with an idea about how long they might be needing for their route. Often, this information might decide between rescheduling a meeting or missing it altogether. Keeping this in mind, the Dhaka Real Traffic project has been taken. It aims to provide travel time predictions based on machine learning of crowd sourced real commuting data. Data mining was done by means of a data collection app and also via Google form. The collected data was classed and trained by means of Python coding. From an initial choice between SVM, KNN & ANN, ANN was selected as the machine learning algorithm due to its lowest mean square errors among all three. Using Java and XML, the frontend Android App name Dhaka Real Traffic (DRT) was created with backend server learning. Due to machine learning, DRT will continue to upgrade its database to provide the most realistic travel time estimate. Marzia Khan Orthy Suraiya Sharmin Ashraful Islam Reshad B. Computer Science and Engineering  2018-01-10T10:02:26Z 2018-01-10T10:02:26Z 2017 8/21/2017 Thesis ID 12101049 ID 12101057 ID 12101059 http://hdl.handle.net/10361/9013 en BRAC University thesis 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. 47 pages application/pdf BRAC Univeristy
institution Brac University
collection Institutional Repository
language English
topic Traffic analysis
Machine learning algorithm
Neural network
spellingShingle Traffic analysis
Machine learning algorithm
Neural network
Orthy, Marzia Khan
Sharmin, Suraiya
Reshad, Ashraful Islam
Crowd source based traffic analysis using machine learning algorithm
description Cataloged from PDF version of thesis report.
author2 Chakrabarty, Dr. Amitabha
author_facet Chakrabarty, Dr. Amitabha
Orthy, Marzia Khan
Sharmin, Suraiya
Reshad, Ashraful Islam
format Thesis
author Orthy, Marzia Khan
Sharmin, Suraiya
Reshad, Ashraful Islam
author_sort Orthy, Marzia Khan
title Crowd source based traffic analysis using machine learning algorithm
title_short Crowd source based traffic analysis using machine learning algorithm
title_full Crowd source based traffic analysis using machine learning algorithm
title_fullStr Crowd source based traffic analysis using machine learning algorithm
title_full_unstemmed Crowd source based traffic analysis using machine learning algorithm
title_sort crowd source based traffic analysis using machine learning algorithm
publisher BRAC Univeristy
publishDate 2018
url http://hdl.handle.net/10361/9013
work_keys_str_mv AT orthymarziakhan crowdsourcebasedtrafficanalysisusingmachinelearningalgorithm
AT sharminsuraiya crowdsourcebasedtrafficanalysisusingmachinelearningalgorithm
AT reshadashrafulislam crowdsourcebasedtrafficanalysisusingmachinelearningalgorithm
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