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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM22611

RFID-BASED HIGHWAY TOLL TAX COLLECTION

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM22611

Volume:

7 |

6 |

Jun 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

1PA

1 Prof A.S.JAIBHAI

2VE

2MAHUL VEERKUMAR EDA

3RK

3ANIKET RAJENDRA KHAIRE

4DC

4VISHAL DILIP CHOURE

5KD

5SHANTANU KESHAVRAO DHADKE

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Abstract

RFID (Radio Frequency Identification) based highway toll tax collection systems have gained significant popularity in recent years due to their efficiency, accuracy, and ease of implementation. This abstract provides an overview of the RFID-based toll tax collection system, highlighting its benefits and key components. The traditional toll tax collection process often involves manual collection of cash or tickets, leading to delays, long queues, and increased chances of errors. The RFID-based system offers a streamlined and automated solution to these challenges. It utilizes RFID technology to identify and track vehicles passing through toll booths, enabling quick and accurate toll tax collection. The key components of the RFID-based toll tax collection system include RFID tags, RFID readers, a backend database, and a toll plaza infrastructure. Each vehicle is equipped with an RFID tag, which contains a unique identification number and other relevant data. As a vehicle approaches the toll plaza, the RFID reader at the toll booth wirelessly scans the RFID tag and captures the necessary information.

KEYWORDS

GSM Module SMS RFID LCD Display

Cite This Article

1 Prof A.S.JAIBHAI, 2MAHUL VEERKUMAR EDA, 3ANIKET RAJENDRA KHAIRE, 4VISHAL DILIP CHOURE, 5SHANTANU KESHAVRAO DHADKE, "RFID-BASED HIGHWAY TOLL TAX COLLECTION," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023.

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Publication Date

10/5/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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