Crowed source based traffic analysis using machine learning algorithm
Cataloged from PDF version of thesis report.
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BRAC University
2017
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| Acceso en liña: | http://hdl.handle.net/10361/8700 |
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10361-87002022-01-26T10:21:47Z Crowed 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 Algorithm Prediction Traffic jam Travel time Python coding Real traffic Machine learning Cataloged from PDF version of thesis report. Includes bibliographical references (page 47). This thesis report is submitted in partial fulfillment 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 2017-12-26T06:16:51Z 2017-12-26T06:16:51Z 2017 8/21/2017 Thesis ID 12101049 ID 12101057 ID 12101059 http://hdl.handle.net/10361/8700 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 University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Algorithm Prediction Traffic jam Travel time Python coding Real traffic Machine learning |
| spellingShingle |
Algorithm Prediction Traffic jam Travel time Python coding Real traffic Machine learning Orthy, Marzia Khan Sharmin, Suraiya Reshad, Ashraful Islam Crowed 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 |
Crowed source based traffic analysis using machine learning algorithm |
| title_short |
Crowed source based traffic analysis using machine learning algorithm |
| title_full |
Crowed source based traffic analysis using machine learning algorithm |
| title_fullStr |
Crowed source based traffic analysis using machine learning algorithm |
| title_full_unstemmed |
Crowed source based traffic analysis using machine learning algorithm |
| title_sort |
crowed source based traffic analysis using machine learning algorithm |
| publisher |
BRAC University |
| publishDate |
2017 |
| url |
http://hdl.handle.net/10361/8700 |
| work_keys_str_mv |
AT orthymarziakhan crowedsourcebasedtrafficanalysisusingmachinelearningalgorithm AT sharminsuraiya crowedsourcebasedtrafficanalysisusingmachinelearningalgorithm AT reshadashrafulislam crowedsourcebasedtrafficanalysisusingmachinelearningalgorithm |
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