Abstract: This paper presents an innovative GPS-based toll collection system developed for the Mumbai-Pune Expressway, aimed at eliminating physical toll booths through the integration of geofencing and real-time GPS tracking. Leveraging OpenStreetMap (OSM) data processed via QGIS, the system defines virtual toll zones and calculates charges dynamically using the Haversine formula. Machine Learning models are incorporated to optimize toll pricing and enable automated remote fee processing. A web-based dashboard facilitates real-time monitoring and digital payments, enhancing user convenience and operational transparency. Experimental results demonstrate a 92% prediction accuracy, 30% reduction in computational overhead, and 40% cost savings compared to traditional tolling infrastructure. The proposed system showcases a scalable, efficient, and storage-free alternative for modernizing toll collection practices.
Keywords: GPS Tolling, Geofencing, Dynamic Pricing, Machine Learning, Smart Transportation, Cloud-based Toll Collection, Real-time GPS Monitoring.
|
DOI:
10.17148/IJARCCE.2025.14422
