2010Unpublished venueRequires access

Developed Dijkstra shortest path search algorithm and simulation

Chao Yin, Hongxia Wang

Open publisher page 45 citations

Abstract

This paper presents an improved Dijkstra shortest path search algorithm. The algorithm considers the different types of weights, set the priority target search region, reduce the large number of meaningless operations, in order to improve search efficiency. We do some relevant testing based on the shortest distance and shortest time through simulation. The simulation show that the improved Dijkstra shortest path search algorithm can reduce the computation time.

About this research paper

What this paper is about

This paper presents an improved Dijkstra shortest path search algorithm. The algorithm considers the different types of weights, set the priority target search region, reduce the large number of meaningless operations, in order to improve search efficiency. We do some relevant testing based on the shortest distance and shortest time through simulation. The simulation show that the improved Dijkstra shortest path search algorithm can reduce the computation time.

Why it matters

OpenAlex reports 45 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

This paper presents an improved Dijkstra shortest path search algorithm. The algorithm considers the different types of weights, set the priority target search region, reduce the large number of meaningless operations, in order to improve search efficiency. We do some relevant testing based on the shortest distance and shortest time through simulation. The simulation show that the improved Dijkstra shortest path search algorithm can reduce the computation time.

Key concepts: Yen's algorithm, K shortest path routing, Shortest path problem, Dijkstra's algorithm, Shortest Path Faster Algorithm, Pathfinding, Computer science, Suurballe's algorithm

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