Shortest Path with Dynamic Weight Implementation using Dijkstra’s Algorithm

Shortest path algorithms have been long applied to solve daily problems by selecting the most feasible route with minimum cost or time. However, some of the problems are not simple. This study applied the case using Dijkstra's algorithm on a graph representing street routes with two possible di...

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Main Authors: Elizabeth Nurmiyati Tamatjita, Aditya Wikan Mahastama
Format: Article
Language:English
Published: Bina Nusantara University 2016-09-01
Series:ComTech
Subjects:
Online Access:https://journal.binus.ac.id/index.php/comtech/article/view/2534
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author Elizabeth Nurmiyati Tamatjita
Aditya Wikan Mahastama
author_facet Elizabeth Nurmiyati Tamatjita
Aditya Wikan Mahastama
author_sort Elizabeth Nurmiyati Tamatjita
collection DOAJ
description Shortest path algorithms have been long applied to solve daily problems by selecting the most feasible route with minimum cost or time. However, some of the problems are not simple. This study applied the case using Dijkstra's algorithm on a graph representing street routes with two possible digraphs: one-way and twoway. Each cost was able to be changed anytime, representing the change in traffic condition. Results show that the usage of one way digraph in mapping the route does make the goal possible to reach, while the usage of twoway digraph may cause confusion although it is probably the possible choice in the real world. Both experiments showed that there are no additional computation stresses in re-calculating the shortest path while going halfway to reach the goal.
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spelling doaj.art-dc41e0f818f44d649c14b83594c2c3ea2023-09-02T20:23:27ZengBina Nusantara UniversityComTech2087-12442476-907X2016-09-017316117110.21512/comtech.v7i3.25341957Shortest Path with Dynamic Weight Implementation using Dijkstra’s AlgorithmElizabeth Nurmiyati Tamatjita0Aditya Wikan Mahastama1Sekolah Tinggi Teknologi AdisutjiptoUniversitas Kristen Duta WacanaShortest path algorithms have been long applied to solve daily problems by selecting the most feasible route with minimum cost or time. However, some of the problems are not simple. This study applied the case using Dijkstra's algorithm on a graph representing street routes with two possible digraphs: one-way and twoway. Each cost was able to be changed anytime, representing the change in traffic condition. Results show that the usage of one way digraph in mapping the route does make the goal possible to reach, while the usage of twoway digraph may cause confusion although it is probably the possible choice in the real world. Both experiments showed that there are no additional computation stresses in re-calculating the shortest path while going halfway to reach the goal.https://journal.binus.ac.id/index.php/comtech/article/view/2534shortest path, dynamic weight, Dijkstra’s algorithm, graph, digraph
spellingShingle Elizabeth Nurmiyati Tamatjita
Aditya Wikan Mahastama
Shortest Path with Dynamic Weight Implementation using Dijkstra’s Algorithm
ComTech
shortest path, dynamic weight, Dijkstra’s algorithm, graph, digraph
title Shortest Path with Dynamic Weight Implementation using Dijkstra’s Algorithm
title_full Shortest Path with Dynamic Weight Implementation using Dijkstra’s Algorithm
title_fullStr Shortest Path with Dynamic Weight Implementation using Dijkstra’s Algorithm
title_full_unstemmed Shortest Path with Dynamic Weight Implementation using Dijkstra’s Algorithm
title_short Shortest Path with Dynamic Weight Implementation using Dijkstra’s Algorithm
title_sort shortest path with dynamic weight implementation using dijkstra s algorithm
topic shortest path, dynamic weight, Dijkstra’s algorithm, graph, digraph
url https://journal.binus.ac.id/index.php/comtech/article/view/2534
work_keys_str_mv AT elizabethnurmiyatitamatjita shortestpathwithdynamicweightimplementationusingdijkstrasalgorithm
AT adityawikanmahastama shortestpathwithdynamicweightimplementationusingdijkstrasalgorithm