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Recent Advances in Computer Science and Communications

Editor-in-Chief

ISSN (Print): 2666-2558
ISSN (Online): 2666-2566

Research Article

An Efficient Congestion Avoiding Approach for Optimal Path Finding for Emergency Vehicle

Author(s): Biru Rajak*, Shrabani Mallick and Dharmender S. Kushwaha

Volume 14, Issue 7, 2021

Published on: 27 December, 2019

Page: [2113 - 2129] Pages: 17

DOI: 10.2174/2666255813666191227144637

Price: $65

Abstract

Background: Emergency vehicles required a quick clearance so as to reach the destination with minimum delay and the human life could be saved. Emergency vehicle required a dedicated path for clearance. The dedicated path creates a chaos by blocking the entire route for others vehicles and it is not always possible to create a dedicated path. So there is an imperative need for a smart road navigation system which adapts to the traffic congestion in real-time velocity of vehicle, count of vehicle, number of lanes and distance from source to destination.

Objective: The objective of this paper is to find an optimal route for providing a least congested optimal route for emergency vehicle with least delay considering various issues such as congestion, numbers of vehicles, average traffic flow on the roads and width of the lane between source and destination.

Methods: Real-time traffic data like number of vehicles, velocity of the vehicles, and the width of the road and distance of the route are used to determine the congestion factor on all possible route. Congestion factor is used for finding the shortest route to requesting emergency vehicle.

Results: Experimental results establish that the travel time of a vehicle is reduced by approximately 26%, when the vehicle uses the optimized route. This is beneficial for any emergency vehicle as the optimal path is provided on a real-time basis.

Conclusion: This research work proposes an analytical approach that provides the least congested optimal route on-demand based on real-time traffic.

Keywords: Emergency vehicle, optimal path, sumo, traffic management, vehicle route selection, traffic surveillance.

Graphical Abstract

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