project-proposal-2025

FleetTrack 360

Abstract

FleetTrack 360 is a cloud-based fleet management solution that consolidates real-time vehicle tracking, engine health monitoring, route optimisation, and maintenance scheduling into one intuitve dashboard. The system primarily focuses on reliability, security, and scalability allowing large logistic providers and small delivery services alike to manage their vehicles around the clock without disruptions or data breaches. By analysing continuous streams of GPS data from on-road vehicles, FleetTrack 360 ensures managers can quickly locate vehicles, optimise delivery routes, and stay ahead of maintenance schedules, all within a secure and easily scalable architecture.

Author

Name: Ajay Datt

Student number: 47037243

Functionality

Fleet 360 will offer the following capabilities:

• Real-Time GPS Tracking:

  • Display the live location of each vehicle on an interactive map.
  • Show speed, direction, and estimated arrival times for in-transit vehicles.

• Engine Health & Optimisation:

  • Gather engine data (e.g temperature, oil pressure) from on-board sensors.
  • Generate alerts if readings suggest potential breakdowns.

• Route Optimisation:

  • Analyse traffic, driver schedules, and geographic data to recommend optimal routes.
  • Provide estimated fuel usage and travel times to reduce operational costs.

• Maintenance Scheduling:

  • Track mileage, usage hours, and part-wear data.
  • Automatically prompt when vehicles are due for routine maintenance or repairs.

• Roles and Permissions:

  • Provide managers, drivers, and support staff with different levels of dashboard access
  • Log all user actions for auditing and accountability.

When fully realised, FleetTrack 360 will save businesses time and money by automating complex logistics, streamlining workflows, and preventing unplanned downtime.

Scope

The Minimum Viable Product will implement:

• Basic Vehicle Tracking:

  • A simple map-based interface that displays the live location of 5-10 simulated vehicles.

• Maintenance Alerts:

  • A mileage-based trigger to notify when a vehicle is due for servicing.

• Basic Route Suggestions:

  • An algorithm that suggests a single optimal route for each vehicle, factoring in distance and simple traffic conditions (simulated data).

• User Roles:

  • Manager-level access to view all vehicles and assign routes.
  • Driver-level login for personal vehicle details only.

These features ensure a functional system without overextending the project scope. Additional diagnostics and complex route optimisations can be implemented in later iterations.

Quality Attributes

Priority Trade-Offs

If conflicts arise - such as allocating resources to strengthen security over new feature development - Reliability remains FleetTrack 360’s first priority to ensure accurate and uninterrupted service, followed by Security, then Scalability.

Reliability

Reliability is paramount in delivering accurate, real-time vehicle information around the clock. Dispatchers make critical decisions based on fleet data, and any delays or inaccuracies can lead to missed deliveries, wasted resources, and potential safety hazards if breakdowns go unnoticed.

A robust architechture for FleetTrack 360 will prioritise consistent data ingestion and minimal downtime. Both hardware failures and network outages should be handled gracefully, keeping the system operational 24/7 and maintaining correct route, location, and maintenance alerts.

Security

FleetTrack 360 holds sensitive operational data such as vehicle locations, customer destinations, and potentially financial details for scheduled deliveries. A breach exposing real-time locations or routing strategies could open the door to theft, sabotages, or commercial espionage.

Strong role-based access controls, encryption (both in transit and at rest), and thorough authentication policies will ensure only authorised personnel see fleet-wide details. Drivers should only access their assigned vehicles, and all access attempts are logged for auditing.

Scalability

FleetTrack 360 must handle potentially large volumes of data from hundreds of vehicles without performance degradation. Logistics operators may start with a few vehicles but scale up to distributed fleets across multiple regions, each vehicle continously transmitting GPS and diagnostic data.

As user demand grows, the system should seamlessly expand its computing resources (e.g via cloud auto-scaling or load balancing) to handle spikes in location and health metrics. This ensures real-time updates for dispatchers monitoring multiple vehicles simultaneously.

Evaluation

To validate that FleetTrack 360 meets its core quality attributes and MVP. The criteria for the test plan:

Reliability Evaluation

• End-to-End Testing:
  • Continuously run a test suite feeding mock GPS updates over a 48 hour period
  • Track any disruption in vehicle monitoring, route assignment, or maintenance notifications.
• Success Criteria:
  • 95% uptime or better for the MVP environment
  • Zero mismatches between real-time feed and displayed map locations for each simulated vehicle.

Security Evaluation

• Role-Based Access Tests:
  • Validated manager accounts can see all vehicles, while driver accounts can only see their own.
  • Attempt to request restricted data from a driver’s session and ensure access is denied.
• Penetration Testing:
  • Perform basic automated scans for common vulnerabilities (SQL injection, cross-site scripting)
• Success Criteria:
  • No major vulnerabilities discovered and minimal false positives in logs
  • Correct authorisation failures for restricted endpoints 100% of the time.

Scalability Evaluation

• End-to-End Testing:
  • Simulate up to 100 concurrent vehicles sending location and engine data every few seconds
  • Measure response times and CPU/memory usage.
• Success Criteria:
  • System must maintain real-time updates with minimal delay (<2 seconds per update) and no more than 5% error rate under peak loads.

This approach ensures each attribute is carefully measured and proven under realistic loads and conditions, supporting the project’s overarching aims of dependable fleet management.