DESIGN AND SIMULATION PLANNING OF AN AI AND WEB-GIS INTEGRATED SYSTEM FOR REAL-TIME LOGISTICS ROUTE OPTIMIZATION
Vol. 4 No. 58 (2026) 120-127
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References
Badrinarayanan, A. (2024). AI-driven optimization of last-mile delivery. International Journal for Multidisciplinary Research. https://doi.org/10.36948/ijfmr.2024.v06i06.32057
Banu, D. (2025). A scalable AI-driven framework for sustainable ride-sharing and intelligent logistics using advanced route optimization. International Journal of Scientific Research in Engineering and Management. https://doi.org/10.55041/ijsrem46131
Chen, W., Men, Y., Fuster, N., Osorio, C., & Juan, A. (2024). Artificial intelligence in logistics optimization with sustainable criteria: A review. Sustainability. https://doi.org/10.3390/su16219145
Danchuk, V., & Hutarevych, O. (2024). Adaptable dynamic routing system in urban transport logistics problems using GIS data. Scientific Journal of Silesian University of Technology. Series Transport. https://doi.org/10.20858/sjsutst.2024.125.2
Dikshit, S., Atiq, A., Shahid, M., Dwivedi, V., & Thusu, A. (2023). The use of artificial intelligence to optimize the routing of vehicles and reduce traffic congestion in urban areas. EAI Endorsed Transactions on Energy Web, 10. https://doi.org/10.4108/ew.4613
Egbuhuzor, N. S., Ajayi, A., Akhigbe, E. E., Ewim, C. P.-M., Ajiga, D. I., & Agbede, O. O. (2023). Artificial intelligence in predictive flow management: Transforming logistics and supply chain operations. International Journal of Management and Organizational Research. https://doi.org/10.54660/ijmor.2023.2.1.48-63
Eze, C. C. (2025). Integration of AI-driven multimodal transport systems for optimizing real-time urban and intercity mobility solutions. International Journal of Research Publication and Reviews. https://doi.org/10.55248/gengpi.6.0425.1574
Fatorachian, H., Kazemi, H., & Pawar, K. (2025). Enhancing smart city logistics through IoT-enabled predictive analytics: A digital twin and cybernetic feedback approach. Smart Cities. https://doi.org/10.3390/smartcities8020056
Hussain, K. M. (2025). Revolutionizing route optimization systems with artificial intelligence for a smarter, sustainable logistics ecosystem. International Journal of Computer Science and Mobile Computing. https://doi.org/10.47760/ijcsmc.2025.v14i02.008
Mandal, J., & Mohammed, I. (2024). Implementation of AI transportation routing in reverse logistics to reduce CO₂ footprint. International Journal of Supply Chain Management. https://doi.org/10.47604/ijscm.3079
Mohsen, B. (2024). AI-driven optimization of urban logistics in smart cities: Integrating autonomous vehicles and IoT for efficient delivery systems. Sustainability. https://doi.org/10.3390/su162411265
Munawar, S. (2023). Bridging gaps in integrated transportation systems for sustainable logistics. Sinergi International Journal of Logistics. https://doi.org/10.61194/sijl.v1i2.618
Ojadi, J. O., Odionu, C. S., Onukwulu, E. C., & Owulade, O. A. (2024). Big data analytics and AI for optimizing supply chain sustainability and reducing greenhouse gas emissions in logistics and transportation. International Journal of Multidisciplinary Research and Growth Evaluation. https://doi.org/10.54660/ijmrge.2024.5.1.1536-1548
Pathuri, N. (2024). The convergence of AI and human expertise in modern logistics operations. International Journal for Multidisciplinary Research. https://doi.org/10.36948/ijfmr.2024.v06i06.33707
Paul, P. O., Aderoju, A. V., Shitu, K., Ononiwu, M. I., Igwe, A. N., Ofodile, O. C., Paul-Mikki, C., & Ewim, P.-M. (2024). Predictive analytics and AI in sustainable logistics: A review of applications and impact on SMEs. Magna Scientia Advanced Research and Reviews. https://doi.org/10.30574/msarr.2024.12.1.0176
Prof, R. M., & Pradhan, T. (2025). Smart logistics: The AI revolution in supply chain optimization and its challenges. International Journal of Advanced Research in Science, Communication and Technology. https://doi.org/10.48175/ijarsct-24915
Rismanto, H., & Judijanto, L. (2025). Dynamic routing in urban logistics: A comprehensive review of AI, real-time data, and sustainability impacts. Sinergi International Journal of Logistics. https://doi.org/10.61194/sijl.v3i2.741
Sihotang, H. T., Sihotang, J., Simbolon, A. P. H., Panjaitan, F., & Simbolon, R. S. (2024). Advancing decision-making: AI-driven optimization models for complex systems. International Journal of Basic and Applied Science. https://doi.org/10.35335/ijobas.v13i3.581
Vemuri, N., Tatikonda, V. M., & Thaneeru, N. (2024). Enhancing public transit system through AI and IoT. International Journal of Scientific Research and Management (IJSRM). https://doi.org/10.18535/ijsrm/v12i02.ec07
Vinnakota, S. (2022). AI-Driven Route Optimization for Logistics. International Scientific Journal of Engineering and Management. https://doi.org/10.55041/isjem00112
Yerra, S. (2024). The Role of Cloud-Based Analytics in Transforming Logistics Data Management and Reporting. The Eastasouth Journal of Information System and Computer Science. https://doi.org/10.58812/esiscs.v2i02.515
Zhang, D. (2024). AI integration in supply chain and operations management: Enhancing efficiency and resilience. Applied and Computational Engineering. https://doi.org/10.54254/2755-2721/90/2024melb0060
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