An Approach for Travel Pattern Analysis Using HDBSCAN and Apriori Algorithms

Year : 2023 | Volume :01 | Issue : 02 | Page : 1-9
By

    P.V.S. Anil Kumar

  1. Anuradha Purohit

  1. Student, Department of Computer Engineering, Shri G.S. Institute of Technology and Science, Indore, Madhya Pradesh, India
  2. Professor, Department of Computer Engineering, Shri G.S. Institute of Technology and Science, Madhya Pradesh, India

Abstract

Most mega-city regions around the world are suffering from an ongoing increase in the number of commuting trips. Understanding commuting patterns is crucial for both public and authority planners. The understanding of travel patterns helps passengers to know about the places and the time where they could get vacant transport and also helps authority planners in laying out a new transport service. The traditional way of understanding travel patterns includes conducting surveys, which is time consuming process. Therefore, authority planners are exploring another way of acquiring knowledge about the travel patterns within less time and effort. Using the concept of clustering and sequential pattern mining helps in understanding the travel patterns by generating clusters and frequent patterns. In this paper, a new approach for trajectory pattern analysis using hierarchical density–based clustering algorithm and Apriori sequential pattern mining is proposed. The use of a hierarchical density–based clustering (HDBSCAN) algorithm instead of traditional density-based clustering (DBSCAN) algorithm gave better results in terms of quality of clusters. Performing clustering on an hourly basis helped in getting deeper insights of the travel patterns. We utilized the Porto taxi trajectory dataset from the UCI Machine Learning Repository for our experimentation.

Keywords: hierarchical density–based clustering (HDBSCAN), density-based clustering (DBSCAN), Apriori, pattern mining, global positioning system (GPS)

[This article belongs to International Journal of Algorithms Design and Analysis Review(ijadar)]

How to cite this article: P.V.S. Anil Kumar, Anuradha Purohit , An Approach for Travel Pattern Analysis Using HDBSCAN and Apriori Algorithms ijadar 2023; 01:1-9
How to cite this URL: P.V.S. Anil Kumar, Anuradha Purohit , An Approach for Travel Pattern Analysis Using HDBSCAN and Apriori Algorithms ijadar 2023 {cited 2023 Nov 23};01:1-9. Available from: https://journals.stmjournals.com/ijadar/article=2023/view=126896


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Volume 01
Issue 02
Received July 20, 2023
Accepted September 20, 2023
Published November 23, 2023
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