Smart fare system for CNG
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
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BRAC University
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10361-101912022-01-26T10:13:16Z Smart fare system for CNG Alok, Shuvashish Haque, Md. Enamul Junayed, Rashidul Hasan Tasmin, Rubaiya Chakrabarty, Amitabha Department of Computer Science and Engineering, BRAC University CNG Fare system RFID GPS tracker 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 (pages 27-28). The fare system of CNGs of our country is very unfair most of the times. Drivers do not follow the proper way and harass the customers. As a solution we came up with an idea which will help the customers to travel as they always have, but will not pay the fare in cash. Instead of paying in cash they will use a smart card to pay the fare. The smart card is mainly a RFID card which works based on Radio Frequency. Moreover, to avoid unpleasantness for the driver, he can also use his very own smart card (RFID) to pay his bill at the gas station. We are using a database to store all the information of our drivers and customers. Database saves the information and updates all of them according to every trip that vehicle makes. Every single driver and customer will have their own specific smart RFID card. While traveling we will measure the distance and set a fare for the customers to pay using the fare calculation system. The customer pays the fare by swiping the RFID card. It will be automatically updated in their database. To measure the distance we are taking the help of Google Map API. Start location and end location will be verified by a GPS tracker. RFID card is not very popular in our country though it is being used by the different people of the country to ensure some security services. Alok, Shuvashish Shuvashish Alok Md. Enamul Haque Rashidul Hasan Junayed Rubaiya Tasmin B. Computer Science and Engineering 2018-05-22T04:40:53Z 2018-05-22T04:40:53Z 2018 2018-04 Thesis ID 17341008 ID 13101261 ID 13101118 ID 13101281 http://hdl.handle.net/10361/10191 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. 28 pages 28 pages application/pdf BRAC University |
institution |
Brac University |
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Institutional Repository |
language |
English |
topic |
CNG Fare system RFID GPS tracker |
spellingShingle |
CNG Fare system RFID GPS tracker Alok, Shuvashish Haque, Md. Enamul Junayed, Rashidul Hasan Tasmin, Rubaiya Smart fare system for CNG |
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 Alok, Shuvashish Haque, Md. Enamul Junayed, Rashidul Hasan Tasmin, Rubaiya |
format |
Thesis |
author |
Alok, Shuvashish Haque, Md. Enamul Junayed, Rashidul Hasan Tasmin, Rubaiya |
author_sort |
Alok, Shuvashish |
title |
Smart fare system for CNG |
title_short |
Smart fare system for CNG |
title_full |
Smart fare system for CNG |
title_fullStr |
Smart fare system for CNG |
title_full_unstemmed |
Smart fare system for CNG |
title_sort |
smart fare system for cng |
publisher |
BRAC University |
publishDate |
2018 |
url |
http://hdl.handle.net/10361/10191 |
work_keys_str_mv |
AT alokshuvashish smartfaresystemforcng AT haquemdenamul smartfaresystemforcng AT junayedrashidulhasan smartfaresystemforcng AT tasminrubaiya smartfaresystemforcng |
_version_ |
1814308053874376704 |