Term 252
Localized Multi-Objective Fleet & Route Optimization Platform for Saudi Arabia
Project Type: Self-Initiated
Project Description
FleetIoT is a localized, hybrid platform designed for Saudi Arabia that seamlessly integrates AI forecasting, real-time IoT tracking, and multi-objective optimization. By balancing operational efficiency with sustainability, the system dramatically reduces delivery costs and CO2 emissions while maximizing fleet utilization and ensuring a fair, balanced workload for drivers. Accessible via intuitive dual Arabic and English interfaces for both dispatchers and drivers, this pilot-ready solution delivers immediate, measurable advancements in cost-efficiency, environmental impact, operational responsiveness, and workforce equity.
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Project Team
Haytham Hussen Hamdan
ICS
Hassan Esameldin Osman
EE
Abedalaziz Ayman Hamad
ICS
Mohammed Abdullah Alghamdi
ISE
Mohammed Emad Mohammed
ISE
Mohammed Fadel Semlali
ICSTeam Coach
Dr. Brahim Brahmi
Assistant ProfessorDepartment of Electrical Engineering
Interdisciplinary Research Center for Intelligent Manufacturing & Robotics