Route Discovery Development for Multiple Destination Using Artificial Ant Colony

Google MAP Case Study

DOI: https://doi.org/10.24086/cuesj.v6n2y2022.pp41-48
Keywords: Multiple destination route discovery, Google Map application, the shortest path, ant colony optimization algorithm

Abstract

Smart cities need a smart applications for the citizen, not just digital devices. Smart applications will provide a decision-making to users by using artificial intelligence. Many real-world services for online shopping and delivery systems were used and attracted customers, especially after the Covid-19 pandemics when people prefer to keep social distance and minimize social places visiting. These services need to discover the shortest path for the delivery driver to visit multiple destinations and serve the customers. The aim of this research is to develop the route discovery for multiple-destination by using ACO Algorithm for Multiple destination route planning. ACO Algorithm for Multiple destination route planning develops the Google MAP application to optimize the route when it is used for multiple destinations and when the route is updated with a new destination. The results show improvement in the multiple destination route discovery when the shortest path and the sequence order of cities are found. In conclusion, the ACO Algorithm for Multiple destination route planning simulation results could be used with the Google Map application and provide an artificial decision for the citizen of Erbil city.  Finally, we discuss our vision for future development.

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Author Biographies

Reem J. Ismail, Department of Computer Science, Cihan University-Erbil, Kurdistan Region, Iraq

Reem Jafar Ismail is an Assistant Professor at the Department of Computer Science, Faculty/College of Science, Cihan University-Erbil. She got the B.Sc. degree in computer science, the M.Sc. degree in computer science and the Ph.D. degree in computer science- wireless networks. Her research interests are in wireless networks, E-learning, and visual programming. Dr. Reem is a professional member of IEEE.

Mohammed H. Shukur, Department of Computer Science, Chian University-Erbil, Kurdistan Region, Iraq

Mohammed Hussein Shukur, faculty member At the department of Computer Science, college of science, Cihan University-Erbil. He holds a B.Sc. in computer science, a PgDip in data security, and an M. Tech. in computer science. His research interests in Big Data and Bioinformatics.

Samar J. Ismael, Department of Electromechanical Engineering, University of Technology, Baghdad, Iraq

Samar Jaafar Ismael is a lecturer at the Department of Electromechanical Engineering, Faculty/ College of Engineering, University of Technology/ Baghdad. She got the B.Sc. degree in electrical engineering, the M.Sc. degree in electrical engineering and the Ph.D. degree in electrical engineering – power system. Her research interests are in power system analysis and planning, artificial intelligent and technology education. Dr. Samar is a member of postgraduate studies and advisor of e-learning and website of the department. She is a reviewer in SCEE2018, CIC-COCOS’19 and ICEMEA’22 conferences.

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Published
2022-08-20
How to Cite
1.
Ismail R, Shukur M, Ismael S. Route Discovery Development for Multiple Destination Using Artificial Ant Colony. cuesj [Internet]. 20Aug.2022 [cited 2Dec.2023];6(2):41-8. Available from: https://journals.cihanuniversity.edu.iq/index.php/cuesj/article/view/730
Issue
Vol 6 No 2 (2022)
Section
Research Article

Copyright (c) 2022 Reem J. Ismail, Mohammed H. Shukur, Samar J. Ismael

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