Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Computer Science Advancements

Utilization of Multi-Agent Systems in Managing Smart Transportation Systems in Urban Areas Hayati, Amelia; Prasetio, Rachmat; Puspitasari, Mariana Diah; Jiao, Deng
Journal of Computer Science Advancements Vol. 2 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i6.1534

Abstract

Urban areas face increasing challenges in managing transportation systems due to rising population densities and traffic congestion. Traditional traffic management methods often lack the flexibility and responsiveness needed to address dynamic conditions in real time. This study explores the utilization of multi-agent systems (MAS) as a solution for optimizing smart transportation systems within urban environments. The research aims to evaluate the effectiveness of MAS in improving traffic flow, reducing congestion, and enhancing system responsiveness through autonomous decision-making and coordination among multiple agents. A simulation-based methodology was employed to analyze MAS performance in managing various transportation variables, including traffic density, signal timing, and incident response. Each agent was programmed to perform specific tasks, such as monitoring traffic, optimizing traffic signals, and re-routing vehicles, with collaborative decision-making to address congestion in real time. Results indicate that MAS implementation led to a 30% improvement in traffic flow efficiency and a 25% reduction in congestion levels. The system also demonstrated adaptive capabilities, allowing for real-time adjustments to unexpected conditions, such as accidents or road closures. The findings suggest that multi-agent systems provide a viable, scalable solution for smart transportation management in complex urban settings. Implementing MAS can significantly enhance the efficiency and adaptability of urban transportation systems, contributing to more sustainable and efficient mobility solutions in rapidly growing cities.
E LOGISTICS AND DISTRIBUTED SYSTEMS FOR SUSTAINABLE SMART SUPPLY CHAIN OPERATIONS Hayati, Amelia; Ali, Zainab; Ahmad, Omar
Journal of Computer Science Advancements Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v4i1.3408

Abstract

The rapid evolution of e-logistics and distributed systems has reshaped modern supply chain operations, offering the potential for improved efficiency and sustainability. However, the integration of these technologies within supply chains remains an underexplored area, particularly in terms of their collective impact on sustainability. This study aims to explore the role of e-logistics and distributed systems in enhancing operational efficiency while minimizing environmental impact in smart supply chains. The research employs a mixed-methods approach, combining quantitative surveys with qualitative case studies across 20 supply chain organizations in manufacturing, logistics, and retail sectors. The findings indicate that e-logistics technologies, particularly blockchain, IoT, and cloud-based systems, significantly improve operational efficiency, reduce costs, and enhance supply chain visibility. However, sustainability outcomes, such as emission reductions, showed more variability, with larger organizations achieving higher environmental benefits. The study concludes that while e-logistics and distributed systems can optimize supply chain performance, their impact on sustainability is contingent upon factors such as digital maturity, organizational integration, and resource availability. The research contributes to the understanding of how these technologies can be effectively integrated for sustainable supply chain operations and provides a framework for future implementation strategies.