AI Route Generator: AI-Based Dynamic Route Generation and Optimization Using Real-Time Traffic and Road Parameters

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Aniket Ubale
Atharva Akhade
Chaitanya Khandarkar Khandarkar
Monali Girhepunje
Jayshree Pohkar

Abstract

Rapid urbanization and a steady rise in vehicle ownership have pushed traffic congestion to the top of the agenda for city planners and commuters alike. in modern transportation systems due to rapid urbanization and increased vehicle density. Traditional navigation systems depend almost entirely on shortest-path algorithms that simply ignore what’s happening on the road right now. traffic conditions, resulting in inefficient route selection. In this paper, we introduce a web-based system for dynamic route visualization and optimization that pulls in live traffic data through the HERE Traffic API and calculates routes using OpenRouteService. To make congestion easy to understand at a glance, the system generates heatmap overlays with Folium. By combining real-time traffic awareness with route visualization, the system enhances user decision-making and improves route ef- ficiency. Experimental observations demonstrate improved traffic awareness, smarter route choices, and a noticeably better user experience compared to traditional routing systems.

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How to Cite
Ubale, A., Akhade, A., Khandarkar, C. K., Girhepunje, M., & Pohkar, J. (2026). AI Route Generator: AI-Based Dynamic Route Generation and Optimization Using Real-Time Traffic and Road Parameters. Multidisciplinary Journal of Research in Engineering and Technology, 13(1S), 11–16. Retrieved from https://journals.mriindia.com/index.php/mjret/article/view/3022
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Articles

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