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

Aniket Ubale; Chaitanya Khandarkar; Atharva Akhade; Monali Girhepunje

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

November 2025

Vol-11, Issue-6

Paper ID: 27678

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Information Technology Engineering

Keywords

AI Route Optimization Traffic Prediction Dy- namic Routing Navigation Systems Machine Learning

Abstract

This paper introduces NAV_AI, a practical AI- driven dynamic routing system that fuses real-time traffic feeds, historical road parameters, and compact machine-learning predictors to produce robust route recommendations. NAV_AI predicts short-horizon segment travel-times and integrates those predictions into a k-shortest-path enumeration and multi-criteria re-ranking strategy. We describe the end-to-end pipeline, fea- ture engineering, model training and serving, and optimization technique. Evaluation on a medium-sized urban graph shows an average travel-time reduction of 22%, ETA RMSE of 130 seconds, and low inference latency, demonstrating the feasibility of prediction-aware routing for production navigation services

License

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

Author Information

#	Name	Institute / Affiliation
1	Aniket Ubale	Dr. D.Y. Patil College Of Engineering Akurdi Pune
2	Chaitanya Khandarkar	Dr. D.Y. Patil College Of Engineering Akurdi Pune
3	Atharva Akhade	Dr. D.Y. Patil College Of Engineering Akurdi Pune
4	Monali Girhepunje	Dr. D.Y. Patil College Of Engineering Akurdi Pune

How to Cite

Use the following formats to cite this article in your research.

APA Style

Ubale, Aniket, Khandarkar, Chaitanya, Akhade, Atharva, & Girhepunje, Monali (2025). AI-Based Dynamic Route Generation and Optimization Using Real-Time Traffic and Road Parameters. International Journal of Advance Research and Innovative Ideas In Education, 11(6), 721-726.

MLA Style

Ubale, Aniket, et al. "AI-Based Dynamic Route Generation and Optimization Using Real-Time Traffic and Road Parameters." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 6, 2025, pp. 721-726.

IEEE Style

Aniket Ubale, Chaitanya Khandarkar, Atharva Akhade, and Monali Girhepunje, "AI-Based Dynamic Route Generation and Optimization Using Real-Time Traffic and Road Parameters," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 6, pp. 721-726, 2025.

Vancouver Style

Ubale Aniket, Khandarkar Chaitanya, Akhade Atharva, Girhepunje Monali. AI-Based Dynamic Route Generation and Optimization Using Real-Time Traffic and Road Parameters. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(6):721-726.

Harvard Style

Ubale, Aniket, Khandarkar, Chaitanya, Akhade, Atharva, & Girhepunje, Monali (2025) 'AI-Based Dynamic Route Generation and Optimization Using Real-Time Traffic and Road Parameters', International Journal of Advance Research and Innovative Ideas In Education, 11(6), pp. 721-726.

Chicago Style

Ubale, Aniket, et al. "AI-Based Dynamic Route Generation and Optimization Using Real-Time Traffic and Road Parameters." International Journal of Advance Research and Innovative Ideas In Education 11, no. 6 (2025): 721-726.

Turabian Style

Ubale, Aniket, et al. "AI-Based Dynamic Route Generation and Optimization Using Real-Time Traffic and Road Parameters." International Journal of Advance Research and Innovative Ideas In Education 11, no. 6 (2025): 721-726.