Parking data analysis
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
| Egile Nagusiak: | , , , |
|---|---|
| Beste egile batzuk: | |
| Formatua: | Thesis |
| Hizkuntza: | English |
| Argitaratua: |
Brac University
2023
|
| Gaiak: | |
| Sarrera elektronikoa: | http://hdl.handle.net/10361/19289 |
| id |
10361-19289 |
|---|---|
| record_format |
dspace |
| spelling |
10361-192892023-08-06T21:01:57Z Parking data analysis Ahamed, Kasfi Haque, Fardin Rasheed, Ahnaf Ar Rahman, Md. Arban Shakil, Arif Sadeque, Farig Yousuf Department of Computer Science and Engineering, Brac University Prediction model KNN Decision tree Forecast model Random forest Naive Bayes Classifier Support Vector Machine Bangladesh parking location Raw data set Machine learning This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 55-56). Car parking is a hassle for everyone in one word, but when it is in a country where population is an issue, parking problems can easily stress someone out. Car parking is a key contributor to traffic congestion and has been, and continues to be, a big concern as car sizes grow in the luxury category, limiting parking spots in metropolitan areas. The problem of a shortage of parking spaces is becoming more acute as the number of automobiles on the road grows rapidly across the world. Many countries’ issues will increase without a planned and convenient withdrawal from the vehicle as the world’s population continues to urbanize. Because it is impossible to handle the growing number of automobiles in a proper, comfortable manner with the present unmanaged car parks and transit amenities, an efficient and smart parking system is required. Here, An examination will be undertaken on a dataset of parking occurrences in this Learning Analytics Visualization project. This analysis will be able to answer some of the most crucial questions that may ease the parking problems. The use of parking spots will increase as a result of the implementation of this system. Kasfi Ahamed Fardin Haque Ahnaf Ar Rasheed Md. Arban Rahman B. Computer Science and Engineering 2023-08-06T04:35:53Z 2023-08-06T04:35:53Z 2023 2023-03 Thesis ID 19101094 ID 19101333 ID 23141079 ID 19101106 http://hdl.handle.net/10361/19289 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. 56 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Prediction model KNN Decision tree Forecast model Random forest Naive Bayes Classifier Support Vector Machine Bangladesh parking location Raw data set Machine learning |
| spellingShingle |
Prediction model KNN Decision tree Forecast model Random forest Naive Bayes Classifier Support Vector Machine Bangladesh parking location Raw data set Machine learning Ahamed, Kasfi Haque, Fardin Rasheed, Ahnaf Ar Rahman, Md. Arban Parking data analysis |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023. |
| author2 |
Shakil, Arif |
| author_facet |
Shakil, Arif Ahamed, Kasfi Haque, Fardin Rasheed, Ahnaf Ar Rahman, Md. Arban |
| format |
Thesis |
| author |
Ahamed, Kasfi Haque, Fardin Rasheed, Ahnaf Ar Rahman, Md. Arban |
| author_sort |
Ahamed, Kasfi |
| title |
Parking data analysis |
| title_short |
Parking data analysis |
| title_full |
Parking data analysis |
| title_fullStr |
Parking data analysis |
| title_full_unstemmed |
Parking data analysis |
| title_sort |
parking data analysis |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/19289 |
| work_keys_str_mv |
AT ahamedkasfi parkingdataanalysis AT haquefardin parkingdataanalysis AT rasheedahnafar parkingdataanalysis AT rahmanmdarban parkingdataanalysis |
| _version_ |
1814307209364897792 |