An Android Application Using Machine Learning Algorithm for Clique Detection in Issues Related to Transportation

Authors

  • Fairouz Hussein The Hashemite University, P. O Box 330127, Zarqa 13133, Jordan
  • Subhieh M. El-Salhi The Hashemite University, P. O Box 330127, Zarqa 13133, Jordan
  • Rajaa ALazazma The Hashemite University, Zarqa, Jordan
  • Tasneem Abu-Hantash The Hashemite University, Zarqa, Jordan
  • Haneen Abu-Hantash The Hashemite University, Zarqa, Jordan
  • Heba Thaher The Hashemite University, Zarqa, Jordan

DOI:

https://doi.org/10.3991/ijim.v16i14.30625

Keywords:

Machine learning, clustering algorithms, maximal clique mining, intelligent transportation systems, Android platform

Abstract


This paper presents the development of a new variant mobile application with a local search algorithm that has been designed to detect routes in school transportation. The School bus routing problem relates to designing the optimum distribution/collection routes for the school buses serving geographically scattered students, and has been the focus of many academics for a long time. The proposed application system selects the best route for the buses to pick up the students from their houses. The system determines the optimal route for designated locations using google maps endings in efficient use of time and fuel. In order to meet the tremendous distance and the complex geographic structure, the proposed method divide the geographic regions into cliques that contain close houses to each other. The application is implemented on Android operating system since android is currently broadly utilized. The proposed framework is integrated with Google API to handle access to map display, data downloading and Google Maps servers. To evaluate the proposed application a survey was conducted. The findings from the reviews were impressive and substantial. The proposed solution of the school bus routing problem can be applied to solve problems related to the vehicles of institutions and organizations

Author Biography

Subhieh M. El-Salhi , The Hashemite University, P. O Box 330127, Zarqa 13133, Jordan

Associate Professor

Hashemite University

ORCID: 0000-0002-9700-4862

URL: https://orcid.org/0000-0002-9700-4862

P.O. Box 330136 Zarqa (13115) Jordan

Telephone: +962 (5) 3903333 

Fax: (962) 5 382 6625

Email: subhieh@hu.edu.jo

Cover iJIM Vol. 16 No. 14 (2022)

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Published

2022-07-26

How to Cite

Hussein, F., El-Salhi , S. ., ALazazma , R. ., Abu-Hantash, T., Abu-Hantash, H. ., & Heba Thaher. (2022). An Android Application Using Machine Learning Algorithm for Clique Detection in Issues Related to Transportation. International Journal of Interactive Mobile Technologies (iJIM), 16(14), pp. 4–22. https://doi.org/10.3991/ijim.v16i14.30625

Issue

Vol. 16 No. 14 (2022)

Section

Papers

License

Copyright (c) 2022 Dr. Fairouz Hussein, Dr. Subhieh M. El-Salhi , Haneen abu hantash , Heba Thaher, Rajaa ALazazma , Tasneem abu hantash

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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