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Journal of Information and Optimization Sciences cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
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Open Access Research Article

Integrated mobility for smart cities

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pp. 1459–1478Vol. 46Issue 5July 2025DOI: 10.47974/JIOS-1603XML
Received:
10 Oct 2023
Published Online:
10 May 2025
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1603
Pages:
1459–1478

Abstract

The issue of congestion and traffic remains unresolved in many countries, with significant time spent on trip planning. Thus, the proposed smart mobility system aims to improve travel planning and decision-making for city travelers. This research assists anyone wanting to explore a city within a specific timeframe by offering the most efficient travel options. It focuses on minimizing travel time and costs. The study began by examining clustering techniques and optimization algorithms, leading to the implementation of a hybrid algorithm. The hybrid system integrates the “Ant Colony Optimization” algorithm with the “K-means clustering” technique to determine the shortest paths, thereby coordinating transportation means and supporting climate change efforts, ultimately contributing to sustainability and integrated mobility in Egypt’s smart cities.

Keywords

Subject Classifications

Primary 90B36 (Programming problems (schedulingroutingetc.)68M20Secondary 90B20 (Traffic problems in operations research)

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