Automatic Bus Fare Collection System using RFID

Public transportation systems in developing regions often depend on manual fare collection methods that are inefficient, more prone to human error and vulnerable to fare evasion and revenue leakage. This research implements an Automatic Bus Fare Collection System which uses Radio Frequency Identification (RFID) and Global Positioning System (GPS) technologies to manage these challenges. The objective of this system is to automate fare collection based on real-time passenger tracking and distance traveled, helping in improving passenger experience. The system is built with an ESP32 microcontroller at the center, RFID readers installed at bus entry and exit points and a GPS NEO-6M module for real-time location tracking. A database records details of fare transaction, whereas a web-based interface enables users to manage accounts and view payment history. Integration with the eSewa digital payment gateway facilitates remote balance recharge. The system experimental testing confirmed accurate fare calculation, reduced boarding time, and minimized dependency on conductors. The system also improves security through encrypted communication and user authentication. Identified challenges include misplacement of the RFID card, initial infrastructure costs, and the need to adapt to the user. Despite these, the system shows strong potential as a reliable, scalable and cost-effective alternative to traditional fare collection systems. It sets a practical foundation for the adoption of intelligent transport infrastructure in urban environments, particularly in the context of developing nations.

Authors

Institutions

Publication Details

Journal
Journal of Advanced College of Engineering and Management
Published
2025-09-18
DOI
https://doi.org/10.3126/jacem.v11i1.84531
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automatic Bus Fare Collection System using RFID

Neelam Singh, Anmol Purna Shrestha, Anisha Pokhrel, Missan Ban et al.
Journal of Advanced College of Engineering and Management
IoT and GPS-based Vehicle Safety Systems
article

Automatic Bus Fare Collection System using RFID

Neelam Singh, Anmol Purna Shrestha, Anisha Pokhrel, Missan Ban, Ronash Lamichhane, Samir Ban
article en

Abstract

Public transportation systems in developing regions often depend on manual fare collection methods that are inefficient, more prone to human error and vulnerable to fare evasion and revenue leakage. This research implements an Automatic Bus Fare Collection System which uses Radio Frequency Identification (RFID) and Global Positioning System (GPS) technologies to manage these challenges. The objective of this system is to automate fare collection based on real-time passenger tracking and distance traveled, helping in improving passenger experience. The system is built with an ESP32 microcontroller at the center, RFID readers installed at bus entry and exit points and a GPS NEO-6M module for real-time location tracking. A database records details of fare transaction, whereas a web-based interface enables users to manage accounts and view payment history. Integration with the eSewa digital payment gateway facilitates remote balance recharge. The system experimental testing confirmed accurate fare calculation, reduced boarding time, and minimized dependency on conductors. The system also improves security through encrypted communication and user authentication. Identified challenges include misplacement of the RFID card, initial infrastructure costs, and the need to adapt to the user. Despite these, the system shows strong potential as a reliable, scalable and cost-effective alternative to traditional fare collection systems. It sets a practical foundation for the adoption of intelligent transport infrastructure in urban environments, particularly in the context of developing nations.

Journal of Advanced College of Engineering and ManagementVol. 11
Kathmandu College of Management (NP)
Openalex Percentile: Top 74%
IoT and GPS-based Vehicle Safety Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Automatic Bus Fare Collection System using RFID — Neelam Singh, Anmol Purna Shrestha, et al. · Journal of Advanced College of Engineering and Management (2025) | TGRS Research Map | TGRS