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Smart Navigation for Vehicles to Avoid Road Traffic Congestion using Weighted Adaptive Navigation * Search Algorithm

International Journal of Electronics and Communication Engineering
© 2023 by SSRG - IJECE Journal
Volume 10 Issue 5
Year of Publication : 2023
Authors : A. Lakshna, S. Gokila, K. Ramesh, R. Surendiran
10.14445/23488549/IJECE-V10I5P116
pdf
How to Cite?

A. Lakshna, S. Gokila, K. Ramesh, R. Surendiran, "Smart Navigation for Vehicles to Avoid Road Traffic Congestion using Weighted Adaptive Navigation * Search Algorithm," SSRG International Journal of Electronics and Communication Engineering, vol. 10,  no. 5, pp. 170-177, 2023. Crossref, https://doi.org/10.14445/23488549/IJECE-V10I5P116

Abstract:

The innovative route navigation system is designed to provide better accuracy in finding the optimal routes for efficient navigation. By leveraging real-time traffic data and incorporating a Weighted Adaptive Navigation * search Algorithm, the system aims to minimize user travel time and congestion. The Weighted Adaptive Navigation * search algorithm analyzes the road network, considering traffic conditions, road capacities, and other relevant parameters to determine the best route for users. Find the optimal path based on both the distance and congestion factors. The system provides step-by-step directions and estimated travel times for each route segment, assisting users in efficiently navigating and avoiding congested areas. Weighted Adaptive Navigation * search algorithm has significantly improved the accuracy by 98% in finding optimal routes. It is designed to redirect it into the shortest route to reach the destination by navigating it in a turn-by-turn direction. The system achieves better travel time predictions and successfully guides users through less congested paths, reducing travel time and improving the overall navigation experience.

Keywords:

Navigation, Weighted adaptive navigation * Search algorithm, Traffic congestion, Smart traffic, Weight factor.

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