Smart Route Navigation with Toll &Speed Assist
POONKODI P 1, BABIDHARSHINI P 2, DHARANI SRI B 3, DHEETSHA SATHISH 4
Assistant Professor, CST, SNS College of Technology, Coimbatore – 641107. Email: poonkodi.p.cse@gmail.com
Final Year, CST, SNS College of Engineering, Coimbatore – 641107. Email: babidharshini968@gmail.com
Final Year, CST, SNS College of Engineering, Coimbatore – 641107. Email: dharanibaskaran23@gmail.com
Final Year, CST, SNS College of Engineering, Coimbatore – 641107. Email: dheetshasathish2506@gmail.com
Abstract –
Traditional navigation tools often fall short in addressing the growing complexities of urban commuting, such as traffic congestion, manual toll checks, and accidental speeding, leaving drivers reliant on multiple fragmented applications. This system resolves these persistent challenges by combining real-time route planning, live traffic analytics, toll booth notifications with automatic balance reminders, and speed limit alerts into one seamless mobile experience.
Built using a structured Web Engineering methodology—including communication, planning, modeling, and deployment—the platform employs a Flutter-based front end with a back end powered by Node.js or Django REST. Integration with APIs such as Google Maps and FASTag ensures accurate and up-to-date information, while data storage is managed through Firebase or PostgreSQL. The system is validated through Black Box Testing to guarantee performance, reliability, and user satisfaction.
By reducing delays at toll booths, preventing speed violations, and delivering optimized alternate routes, the solution not only improves individual driving experiences but also enhances broader traffic flow and road safety. It simplifies travel planning, lowers operational costs, and minimizes the need for multiple third-party tools. The app’s automated notifications and real-time data processing empower drivers with timely, actionable insights—promoting safer, more efficient, and environmentally conscious transportation habits. Ultimately, this all-in-one, intelligent mobility assistant showcases how integrated smart systems can reshape commuting, enhance digital mobility infrastructure, and set new standards for smart transport solutions.
Keywords: Smart Navigation, Real-Time Traffic Updates, Toll Booth Alerts, Speed Limit Notifications, Route Optimization, Mobile Application, Flutter, Node.js/Django REST, Google Maps API, FASTag Integration, Web Engineering, Transportation Efficiency, User-Centric Design.
