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
Haytham Hussen Hamdan
ICS
Hassan Esameldin Osman
Hassan Esameldin Osman
EE
Abedalaziz Ayman Hamad
Abedalaziz Ayman Hamad
ICS
Mohammed Abdullah Alghamdi
Mohammed Abdullah Alghamdi
ISE
Mohammed Emad Mohammed
Mohammed Emad Mohammed
ISE
Mohammed Fadel Semlali
Mohammed Fadel Semlali
ICS

Team Coach

Dr. Brahim Brahmi
Dr. Brahim Brahmi
Assistant Professor

Department of Electrical Engineering

Interdisciplinary Research Center for Intelligent Manufacturing & Robotics