Data Science and Intelligent Computing Techniques
Automated Toll Collection System
Authors: Shilpa Lambor, Sachin Komble, Ojas Khade, Nitesh Rahangdale, Pitambar Pandey, Prathamesh Parab and Meet Patel
Publishing Date: 19-12-2023
ISBN: 978-81-955020-2-8
Abstract
This research project develops an automated toll collection system using geofencing, a web-based platform, and intelligent algorithms. Each day with a steady rise in the human population there is a steady rise in the number of vehicles on roads as well. This increase in vehicles eventually will demand for a better toll collection infrastructure and newer innovative methods and technologies. These technologies not only need to make toll collection easier but reduce the time that vehicles need to wait for in long queues that leads to traffics and human errors. This project aims to eliminate physical toll-booths, reduce congestion, and improve traffic flow. The most significant feature is there is no requirement of physical infrastructure and vehicles will not have to stop at certain locations thus eliminating congestions and long traffics at certain locations. The system calculates tolls based on distance travelled in the geofenced area and deducts them from virtual accounts. The research paper details the defining of geofence with the Google Maps API, toll calculation algorithms, and the design of the web platform. The project demonstrates the potential of automated toll collection for optimizing transportation infrastructure and inspires further advancements in toll collection technologies.
Keywords
Toll Collection, Web Based Platform, Distance Based Toll Tax, Geofence.
Cite as
Shilpa Lambor, Sachin Komble, Ojas Khade, Nitesh Rahangdale, Pitambar Pandey, Prathamesh Parab and Meet Patel, "Automated Toll Collection System", In: Satyasai Jagannath Nanda and Rajendra Prasad Yadav (eds), Data Science and Intelligent Computing Techniques, SCRS, India, 2023, pp. 827-836. https://doi.org/10.56155/978-81-955020-2-8-70