Smart Navigation for Vehicles to Avoid Road Traffic Congestion using Weighted Adaptive Navigation * Search Algorithm
Year: 2023
Type: article
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.
Authors: Lakshna A, Gokila S, Ramesh K, Surendiran R
Institution: Hindustan Institute of Technology and Science
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4379537684