GNSS Based Automated Toll Collection System
Keywords:
GNSS, Automated Toll Collection, Intelligent Transportation Systems (ITS), GPS, Arduino Uno, GSM Communication, Distance-Based Tolling, Smart Transportation, IoT, Traffic ManagementAbstract
The increasing number of vehicles on roads has exposed the limitations of traditional toll collection systems, which cause traffic congestion, delays, fuel wastage, and environmental pollution due to vehicles stopping at toll plazas. To address these issues, this project proposes a GNSS-based automated toll collection system that enables seamless, contactless, and distance-based tolling without requiring vehicles to stop.
The system uses the Global Navigation Satellite System (GNSS) to track the real-time position of vehicles using latitude and longitude coordinates. A GNSS module installed in the vehicle continuously provides location data, which is processed by an Arduino Uno microcontroller. The system detects entry and exit points of toll zones and calculates the distance travelled. Based on this distance, the toll amount is computed, ensuring fair and transparent charging.
The proposed system integrates both hardware and software components. The hardware includes a GNSS module, Arduino Uno, GSM module, and LCD display. The software, developed using Embedded C in Arduino IDE, processes location data, performs toll calculation, and manages communication. The GSM module enables automatic toll deduction through digital payment systems, while the LCD display provides real-time user information.
This system eliminates the need for physical toll booths, reduces traffic congestion, saves fuel, and lowers emissions. It also supports real-time data collection for better traffic management and infrastructure planning. Although challenges such as signal dependency and initial cost exist, the system offers significant long-term benefits.
Overall, the GNSS-based toll collection system provides an efficient, reliable, and scalable solution for modern transportation, supporting the development of smart cities and intelligent transportation systems.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Authors

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.










