ABSTRACT: Nowadays, the development of “smart cities” with a high level of quality of life is becoming a prior challenge to be addressed. In this paper, promoting the model shift in railway ...

This is a program for finding the closest destinations from the source by applying Dijkstra's algorithm with an Adjacency List.

Python program to compute the shortest path between Indian state capitals using Single Source Shortest Path (SSSP) Algorithm. Fetched distance data from Google Maps, to find the optimal path.

BISMARCK — Wedged between a Subway sandwich shop and an RV campground in Harvey, North Dakota, lies a .28-mile stretch of pavement known as Highway 91. Soon, a couple signs will inform drivers of the ...

Abstract: We compare multiple implementations of Dijkstra's single source shortest paths algorithm using two different data structures. The algorithms are implemented in Python programming language ...

Abstract: Computing single-source shortest paths (SSSP) is one of the fundamental problems in graph theory. There are many applications of SSSP including finding routes in GPS systems and finding high ...

The Single Source Shortest Path (SSSP) problem consists in finding the shortest paths from a vertex (the source vertex) to all other vertices in a graph. SSSP has numerous applications. For some ...

We present a novel approach for computing a shortest path in a mixed fuzzy network, network having various fuzzy arc lengths. First, we develop a new technique for the addition of various fuzzy ...