Fleet management forms the most integral part of logistics and transportation companies, as there is a need to make time-bound deliveries while keeping operational expenditures at a minimum through the maintenance of the health of the fleet.
This paper seeks to develop a comprehensive fleet management system that will trace the real-time location of vehicles, issue maintenance alerts based on distance and time events, monitor consumption of fuel, generate driver performance analytics, etc. GPS technology, integrated with data analytics, will help stakeholders make better decisions toward increased efficiency in their fleets.
Week 1-2: Initial Planning and Requirement Analysis
Define project objectives, scope, and high-level requirements
Gather necessary data and resources Week 3-4: Design Phase
Design Wireframes and Mockups of the Fleet Management System Week 5-6: Development Phase - Real-time Tracking
Implement real-time vehicle tracking with GPS technology
Develop a Database schema for fleet data Week 7-8: Development Phase - Maintenance and Fuel Monitoring
Implement the procedure to schedule vehicle maintenance and monitor fuel usage
Ensure data privacy and security of fleet information Week 9-10: Development Phase: Driver Performance and Analytics —
Develop features for analytics in driver performance and operational efficiency
Integrate data analytics for actionable insights Week 11-12: Testing and Refinement Phase
Comprehensive Testing to ensure functionality and usability
Performance measures and user feedback-based system improvement
Final project report compilation and documentation
Presentations of individual reports by students
