NCAA Digital Transformation - AI-Powered Fleet Management System — Software Requirements Specification (SRS)
Table of Contents
- 1 Document Information
- 2 Project Overview
- 3 User Requirements
- 4 Technical Requirements
- 5 External Dependencies
- 6 Release Planning
- 7 Risks Assumptions
- 8 Market Specific Considerations
- 9 Sign Off
- 10 Detailed Feature Requirements
- 11 Additional Context
1 Document Information
| Field | Value |
|---|---|
| Project Name | NCAA Digital Transformation - AI-Powered Fleet Management System |
| Version | 1.0 |
| Date | 2025-11-12 |
| Project Manager | TBD |
| Tech Lead | TBD |
| Qa Lead | TBD |
| Platforms | ['Web', 'Mobile', 'Cloud Infrastructure'] |
| Document Status | Draft |
| Module Code | FLEET_MGMT |
| Parent Project | NCAA Digital Transformation - Ngorongoro Gateway System |
2 Project Overview
2.1 What Are We Building
2.1.1 System Function
A comprehensive AI-powered fleet management system that provides real-time vehicle tracking, driver management, maintenance scheduling, fuel monitoring, and route optimization for NCAA's 30+ vehicle fleet. The system integrates telematics hardware, GPS tracking, fuel sensors, and AI-driven analytics to reduce operational costs, enhance vehicle utilization, and improve maintenance planning across all conservation area operations.
2.1.2 Users
- Fleet Managers: Vehicle allocation, maintenance scheduling, and fleet performance monitoring
- Drivers: Route navigation, vehicle checks, and duty logging
- Maintenance Teams: Preventive maintenance alerts and repair tracking
- Finance Department: Fuel consumption analysis and cost tracking
- Operations Managers: Resource allocation and efficiency monitoring
- Management: Executive fleet analytics and cost optimization insights
2.1.3 Problem Solved
Manual fleet management causing inefficient vehicle utilization, untracked fuel consumption leading to waste and fraud, reactive maintenance resulting in breakdowns, lack of driver accountability, no real-time vehicle location visibility, inability to optimize routes for conservation patrols and tourism operations, and fragmented data preventing cost analysis and strategic planning.
2.1.4 Key Success Metric
30% reduction in fuel costs through monitoring and optimization, 50% reduction in vehicle downtime via predictive maintenance, 40% improvement in vehicle utilization rates, 100% real-time fleet visibility, complete driver accountability with digital duty logs, AI-optimized routing reducing mileage by 25%, and integrated analytics enabling data-driven fleet decisions.
2.2 Scope
2.2.1 In Scope
- Real-time GPS tracking for all NCAA vehicles (30+ fleet)
- Telematics integration for vehicle diagnostics and performance monitoring
- Fuel consumption monitoring with sensor integration and fraud detection
- Driver management including duty logs, performance tracking, and credential verification
- Maintenance scheduling with predictive analytics and service reminders
- Route optimization powered by Nasera AI for patrols and operations
- Vehicle allocation and booking system for departmental requests
- Mobile application for drivers (duty logging, navigation, vehicle checks)
- Web dashboard for fleet managers and administrators
- Integration with BI System for cost analysis and reporting
- Integration with Gateway System for visitor transport coordination
- Fuel card management and reconciliation
- Vehicle utilization analytics and efficiency reporting
- Maintenance history and cost tracking
- Driver behavior monitoring and safety scoring
2.2.2 Out Of Scope
- Vehicle procurement and acquisition processes
- Insurance claim management
- Traffic violation processing
- Third-party contractor fleet management
- Public transportation services
- Heavy equipment and machinery management (focus on vehicles)
- Spare parts inventory management (handled by procurement system)
3 User Requirements
3.1 Vehicle Tracking
| Feature Code | I Want To | So That I Can | Priority | Notes |
|---|---|---|---|---|
| FT-FLEET-GPS-TRACKING | View real-time location of all NCAA vehicles on a map | Monitor fleet deployment, ensure vehicles are in authorized areas, and respond to emergencies quickly | Must | GPS tracking every 30 seconds. Historical route playback. Geofencing alerts for unauthorized areas. Works offline with cached data sync. |
| FT-FLEET-GEOFENCING | Set geographic boundaries and receive alerts when vehicles enter/exit zones | Ensure vehicles stay within authorized areas and detect unauthorized use | Must | Conservation area boundaries, gate zones, restricted areas. SMS/email alerts. Integration with security protocols. |
| FT-FLEET-ROUTE-HISTORY | Review historical routes and vehicle movements | Audit vehicle usage, verify patrol coverage, and analyze operational patterns | Must | 90-day route history. Playback with timeline controls. Export to PDF/Excel. Integration with duty logs. |
| FT-FLEET-LIVE-DASHBOARD | Access live dashboard showing all active vehicles and their status | Coordinate fleet operations and make real-time allocation decisions | Must | Color-coded status indicators (active, idle, maintenance, emergency). Filter by department, vehicle type, location. |
3.2 Telematics Diagnostics
| Feature Code | I Want To | So That I Can | Priority | Notes |
|---|---|---|---|---|
| FT-FLEET-TELEMATICS | Receive real-time vehicle diagnostics including engine health, battery status, and error codes | Detect issues early and prevent breakdowns during critical operations | Must | OBD-II integration. Engine hours tracking. Battery voltage monitoring. Check engine light alerts. |
| FT-FLEET-PERFORMANCE-METRICS | Monitor vehicle performance metrics including speed, RPM, temperature, and efficiency | Identify vehicles operating outside optimal parameters and address issues proactively | Should | Dashboard displaying key performance indicators. Trend analysis. Comparison across fleet. |
| FT-FLEET-HEALTH-SCORE | View overall vehicle health scores based on telematics data | Prioritize maintenance and make informed replacement decisions | Should | AI-calculated health score (0-100). Alerts when score drops below threshold. Monthly health reports. |
3.3 Fuel Management
| Feature Code | I Want To | So That I Can | Priority | Notes |
|---|---|---|---|---|
| FT-FLEET-FUEL-MONITORING | Monitor real-time fuel levels and consumption rates for all vehicles | Detect fuel theft, optimize consumption, and plan refueling schedules | Must | Fuel sensor integration. Anomaly detection for sudden drops (theft). Consumption vs distance analysis. |
| FT-FLEET-FUEL-EFFICIENCY | Track fuel efficiency metrics and compare across vehicles and drivers | Identify inefficient vehicles and improve driver behavior to reduce fuel costs | Must | Liters per 100km calculations. Driver comparison reports. Vehicle efficiency trends over time. |
| FT-FLEET-FUEL-ALERTS | Receive alerts for abnormal fuel consumption patterns indicating theft or leakage | Investigate and resolve fuel-related issues immediately | Must | Threshold-based alerts. Fuel drop detection when engine off. Refueling vs consumption reconciliation. |
| FT-FLEET-FUEL-CARD | Manage fuel card transactions and reconcile with actual consumption | Prevent fraud and ensure accurate fuel accounting | Should | Fuel card integration. Transaction vs sensor data matching. Variance reporting and investigation workflow. |
3.4 Driver Management
| Feature Code | I Want To | So That I Can | Priority | Notes |
|---|---|---|---|---|
| FT-FLEET-DRIVER-ASSIGNMENT | Assign drivers to vehicles and track current assignments | Maintain accountability and ensure only authorized drivers operate vehicles | Must | Driver database with licenses and credentials. Vehicle-driver pairing. Assignment history and audit trail. |
| FT-FLEET-DUTY-LOG | Digitally log driver duties including start/end times, odometer readings, and purpose | Track vehicle usage, verify duty compliance, and analyze operational patterns | Must | Mobile app for drivers. GPS-stamped duty logs. Photo capture for odometer verification. Digital signature. |
| FT-FLEET-DRIVER-BEHAVIOR | Monitor driver behavior including speeding, harsh braking, and idling | Improve driver safety, reduce vehicle wear, and lower fuel consumption | Must | Telematics-based behavior scoring. Incident detection and logging. Monthly driver performance reports. |
| FT-FLEET-DRIVER-CREDENTIAL | Verify driver licenses and credentials before vehicle assignment | Ensure compliance with legal requirements and NCAA policies | Must | License expiry tracking. Automatic alerts for expiring credentials. Integration with HR system. |
| FT-FLEET-DRIVER-TRAINING | Track driver training and certification status | Ensure drivers are qualified for specialized vehicles and operations | Should | Training records database. Certification tracking. Refresher training reminders. |
3.5 Maintenance Management
| Feature Code | I Want To | So That I Can | Priority | Notes |
|---|---|---|---|---|
| FT-FLEET-MAINTENANCE-SCHEDULE | Schedule preventive maintenance based on mileage, engine hours, and time intervals | Prevent breakdowns and extend vehicle lifespan through proactive servicing | Must | Automatic scheduling based on manufacturer recommendations. Email/SMS reminders. Service due dashboard. |
| FT-FLEET-PREDICTIVE-MAINTENANCE | Receive AI-powered predictions for upcoming maintenance needs based on vehicle data | Address potential issues before they cause breakdowns or expensive repairs | Must | Nasera AI integration analyzing telematics data. Failure prediction models. Risk-based prioritization. |
| FT-FLEET-MAINTENANCE-TRACKING | Log all maintenance activities including repairs, parts replaced, and costs | Maintain complete vehicle history and analyze maintenance costs | Must | Maintenance log with photos. Parts inventory integration. Service provider tracking. Cost analysis. |
| FT-FLEET-BREAKDOWN-MANAGEMENT | Report and track vehicle breakdowns with location and issue details | Coordinate rapid response and minimize vehicle downtime | Must | Mobile breakdown reporting. GPS location capture. Towing coordination. Repair status tracking. |
| FT-FLEET-SERVICE-HISTORY | Access complete service history for each vehicle | Make informed decisions about repairs vs replacement and identify problematic vehicles | Must | Chronological service records. Cost per vehicle analysis. Service frequency tracking. |
3.6 Route Optimization
| Feature Code | I Want To | So That I Can | Priority | Notes |
|---|---|---|---|---|
| FT-FLEET-ROUTE-PLANNING | Plan optimal routes for patrols, visitor transport, and operational tasks | Minimize fuel consumption, reduce travel time, and improve operational efficiency | Must | Nasera AI-powered route optimization. Conservation area road conditions. Multi-stop routing. |
| FT-FLEET-NAVIGATION | Provide turn-by-turn navigation to drivers via mobile app | Ensure drivers follow optimal routes and reach destinations efficiently | Should | Offline map support for areas without connectivity. Voice guidance. Route deviation alerts. |
| FT-FLEET-ROUTE-DEVIATION | Detect when vehicles deviate from planned routes | Identify unauthorized detours and ensure patrol coverage compliance | Should | Configurable deviation threshold. Automatic alerts to fleet managers. Integration with duty log verification. |
| FT-FLEET-ROUTE-ANALYSIS | Analyze completed routes to identify inefficiencies and optimization opportunities | Continuously improve routing strategies and reduce operational costs | Should | Actual vs planned route comparison. Fuel consumption per route. Time efficiency analysis. |
3.7 Vehicle Allocation
| Feature Code | I Want To | So That I Can | Priority | Notes |
|---|---|---|---|---|
| FT-FLEET-BOOKING-SYSTEM | Submit and approve vehicle booking requests from departments | Allocate vehicles efficiently and maintain fair access across NCAA units | Must | Web-based booking interface. Approval workflow. Conflict detection for double-bookings. Priority rules. |
| FT-FLEET-AVAILABILITY | View real-time vehicle availability considering bookings, maintenance, and current usage | Make informed allocation decisions and plan for vehicle needs | Must | Calendar view showing bookings. Maintenance downtime blocked. Real-time status updates. |
| FT-FLEET-UTILIZATION | Track vehicle utilization rates across the fleet | Identify underutilized vehicles and optimize fleet size | Should | Utilization percentage calculations. Department-wise allocation analysis. Idle time tracking. |
3.8 Integration Reporting
| Feature Code | I Want To | So That I Can | Priority | Notes |
|---|---|---|---|---|
| FT-FLEET-BI-INTEGRATION | Push fleet data to BI System for comprehensive analytics | Analyze fleet performance alongside other organizational metrics | Must | Real-time API integration. Fuel costs, maintenance costs, utilization metrics. Executive dashboards. |
| FT-FLEET-GATEWAY-INTEGRATION | Coordinate vehicle allocation for visitor transport with Gateway System | Optimize vehicle deployment for tourism operations | Should | Visitor transport requests from Gateway. Availability sharing. Automated allocation for scheduled tours. |
| FT-FLEET-NASERA-AI | Leverage Nasera AI for predictive analytics and optimization recommendations | Make data-driven decisions on maintenance, routing, and fleet management | Must | AI models for failure prediction, route optimization, cost forecasting. Natural language queries for fleet data. |
| FT-FLEET-REPORTS | Generate automated fleet reports for management and auditing | Provide transparency, support decision-making, and ensure accountability | Must | Monthly fleet performance reports. Cost analysis reports. Utilization reports. Driver performance reports. |
3.9 Mobile Application
| Feature Code | I Want To | So That I Can | Priority | Notes |
|---|---|---|---|---|
| FT-FLEET-MOBILE-DRIVER | Access mobile app for duty logging, navigation, and vehicle checks | Perform my duties efficiently and maintain accurate records digitally | Must | Android/iOS app. Offline functionality. GPS-stamped actions. Photo capture capability. |
| FT-FLEET-MOBILE-CHECKLIST | Complete digital pre-trip and post-trip vehicle inspection checklists | Ensure vehicle safety and document vehicle condition | Must | Customizable checklist items. Photo documentation of issues. Automatic alerts for critical defects. |
| FT-FLEET-MOBILE-INCIDENT | Report incidents and accidents immediately via mobile app | Enable rapid response and proper documentation | Must | Incident form with GPS location. Photo and video upload. Automatic notification to managers. |
4 Technical Requirements
4.1 Performance Standards
| Requirement | Target | How To Test |
|---|---|---|
| GPS tracking update frequency | Every 30 seconds when vehicle moving, every 5 minutes when stationary | Monitor GPS data stream frequency under various conditions |
| Dashboard load time | < 3 seconds for fleet overview with 30+ vehicles | Performance testing with production data volume |
| Route calculation time | < 5 seconds for multi-stop routes (up to 10 stops) | Route optimization algorithm testing with various scenarios |
| Mobile app responsiveness | < 2 seconds for duty log submission | Mobile app performance testing on target devices |
| Telematics data sync | < 1 minute latency from vehicle to dashboard | End-to-end telematics pipeline testing |
| System availability | 99.5% uptime for tracking and critical functions | Uptime monitoring over 90-day period |
4.2 Platform Requirements
| Platform | Minimum Version | Target Version | Notes |
|---|---|---|---|
| Web Dashboard | Chrome 90, Firefox 88, Safari 14, Edge 90 | Latest stable browsers | Responsive design for desktop and tablet |
| Mobile Application | Android 8.0, iOS 12 | Android 13, iOS 16 | Native performance via Flutter or React Native |
| Telematics Hardware | OBD-II compatible devices with GPS and cellular connectivity | 4G LTE enabled devices with fuel sensor support | Ruggedized for harsh environmental conditions |
| Backend Infrastructure | Cloud-based (AWS/Azure/GCP) with PostgreSQL 13+ | Containerized microservices with PostgreSQL 15+ | Scalable architecture supporting future fleet expansion |
4.3 Security Privacy
| Requirement | Must Have | Implementation |
|---|---|---|
| Data encryption | True | AES-256 for stored data, TLS 1.3 for data in transit from telematics devices |
| User authentication | True | OAuth 2.0 with JWT tokens, role-based access control, session timeout after 30 min |
| GPS data privacy | True | Access restricted to authorized fleet managers, audit logging for location data access |
| Driver data protection | True | Compliance with Tanzania Data Protection Act, driver consent for behavior monitoring |
| Telematics security | True | Encrypted device communication, tamper detection, secure firmware updates |
5 External Dependencies
5.1 Third Party Services
| Service | What It Does | Criticality | Backup Plan |
|---|---|---|---|
| GPS/Mapping Service | Provide maps, routing, and geocoding services | Must have | Offline maps with periodic updates, fallback to alternative mapping provider |
| Telematics Hardware Provider | Supply and support OBD-II devices with GPS and sensors | Must have | Multi-vendor strategy, spare device inventory |
| Cellular Connectivity | Provide data connection for real-time tracking | Must have | Offline mode with data caching, multi-carrier SIM support |
| SMS Gateway | Send alerts and notifications | Should have | Email and in-app notifications |
5.2 Device Requirements
| Feature | Required | Optional | Notes |
|---|---|---|---|
| OBD-II telematics device per vehicle | True | False | GPS, cellular, accelerometer, fuel sensor support. Ruggedized for conservation area conditions. |
| Fuel level sensors | True | False | Aftermarket fuel sensors for vehicles without built-in sensors |
| Driver mobile devices (smartphones/tablets) | True | False | Android 8+ or iOS 12+ for driver mobile app access |
| Internet connectivity | False | True | System works offline with periodic sync when connectivity available |
6 Release Planning
6.1 Development Phases
| Phase | Features Included | Timeline | Success Criteria |
|---|---|---|---|
| Phase 1 (Core Tracking & Management - MVP) | ['GPS tracking and live dashboard', 'Telematics integration', 'Fuel monitoring', 'Driver duty logging', 'Basic maintenance scheduling', 'Web dashboard for fleet managers'] | 16 weeks | All vehicles tracked in real-time, fuel consumption monitored, duty logs digital, basic maintenance alerts functional |
| Phase 2 (Advanced Analytics & Optimization) | ['Predictive maintenance with AI', 'Route optimization via Nasera AI', 'Driver behavior monitoring', 'Advanced fuel analytics and fraud detection', 'Vehicle booking system', 'BI system integration'] | 12 weeks | AI-powered predictions operational, routes optimized, driver scoring implemented, booking system live |
| Phase 3 (Mobile App & Integration) | ['Driver mobile application', 'Vehicle inspection checklists', 'Incident reporting', 'Gateway system integration', 'Full reporting suite', 'Performance optimization'] | 12 weeks | Mobile app deployed to all drivers, integrations complete, comprehensive reports available |
6.2 Release Checklist
- All Must-Have features complete and tested
- Telematics hardware installed in all 30+ vehicles
- GPS tracking accuracy validated (< 10m error margin)
- Fuel sensor calibration completed for all vehicles
- Driver mobile app deployed to all drivers with training
- Web dashboard accessible to fleet managers
- Integration with BI System operational
- Integration with Nasera AI for predictions functional
- Security audit completed and vulnerabilities addressed
- User training materials prepared and training conducted
- Performance benchmarks met (dashboard < 3s, tracking < 30s updates)
- Data migration from legacy systems (if any) completed
- Backup and disaster recovery procedures tested
7 Risks Assumptions
7.1 Risks
| Risk | Probability | Impact | Mitigation |
|---|---|---|---|
| Telematics device failure or tampering in field conditions | Medium | High | Ruggedized devices with tamper detection, spare device inventory, rapid replacement procedures, vendor support contract |
| Cellular connectivity issues in remote conservation areas | High | Medium | Offline mode with data caching, multi-carrier SIM support, sync when connectivity available, satellite backup for critical areas |
| Driver resistance to behavior monitoring and accountability measures | Medium | Medium | Clear communication on safety benefits, privacy policy transparency, phased rollout, incentive program for good driving behavior |
| Fuel sensor accuracy issues leading to false theft alerts | Medium | Medium | Professional sensor installation and calibration, periodic recalibration, threshold tuning based on vehicle characteristics |
| Integration delays with BI System and Nasera AI | Low | Medium | API-first design, early integration testing, phased integration approach, fallback to manual data export |
| Higher than expected telematics data costs on cellular networks | Medium | Low | Data compression, configurable update frequencies, negotiate bulk data plans, monitor usage and optimize |
7.2 Assumptions
- All NCAA vehicles have functioning OBD-II ports for telematics installation
- Fleet composition remains relatively stable (30-40 vehicles) during implementation
- Drivers have basic smartphone literacy or can be trained
- Cellular coverage available along major routes (intermittent acceptable)
- Management committed to enforcing digital duty logging and accountability measures
- Maintenance team willing to adopt digital scheduling and logging
- Budget available for telematics hardware procurement and installation
- Fuel sensors can be installed on vehicles without factory-installed sensors
- GPS accuracy sufficient for conservation area operations (±10m acceptable)
8 Market Specific Considerations
8.1 Primary Market
- Ngorongoro Conservation Area, Tanzania - 30+ vehicle fleet
8.2 Target Demographics
- Fleet managers with varying technical skills
- Drivers with mixed smartphone familiarity
- Maintenance teams transitioning from manual logs
8.3 Local Considerations
- Harsh environmental conditions (dust, heat, rough terrain) requiring ruggedized telematics hardware
- Limited cellular coverage in remote areas requiring robust offline functionality
- Multi-lingual support (English and Swahili) for driver interfaces
- Cultural sensitivity around monitoring and accountability measures
- Integration with local fuel suppliers and service providers
- Conservation area access restrictions affecting installation and maintenance
- Power availability challenges for device charging in field
- Local technical support availability for hardware troubleshooting
8.4 Vehicle Types
8.4.1 Safari Vehicles
Land Cruisers, Land Rovers - primary tourist transport
8.4.2 Patrol Vehicles
4x4 vehicles for ranger patrols and conservation work
8.4.3 Administrative Vehicles
Sedans and light trucks for office operations
8.4.4 Maintenance Vehicles
Utility trucks and specialized equipment carriers
9 Sign Off
9.1 Approval
| Role | Name | Signature | Date |
|---|---|---|---|
9.2 Document History
| Version | Date | Changes Made | Changed By |
|---|---|---|---|
| 1.0 | 2025-11-12 | Initial draft based on NCAA Digital Transformation roadmap Section 2.3 | SRS Development Team |
10 Detailed Feature Requirements
10.1 Ft Fleet Gps Tracking
10.1.1 Priority
Must Have
10.1.2 User Story
As a fleet manager, I want to view real-time location of all NCAA vehicles on a map so that I can monitor fleet deployment and respond to emergencies quickly
10.1.3 Preconditions
Telematics devices installed; GPS signal available; Dashboard accessible
10.1.4 Postconditions
Vehicle locations displayed on map; Historical routes viewable; Geofencing alerts functional
10.1.5 Test Cases
| Id | Description | Weight |
|---|---|---|
| FLEET-GPS-TC-001 | Display all 30+ vehicles on live map with correct locations | High |
| FLEET-GPS-TC-002 | Update vehicle positions every 30 seconds when moving | High |
| FLEET-GPS-TC-003 | Playback historical routes for last 90 days | High |
| FLEET-GPS-TC-004 | Filter vehicles by department, status, or location | Medium |
| FLEET-GPS-TC-005 | GPS accuracy within 10 meters | High |
10.2 Ft Fleet Fuel Monitoring
10.2.1 Priority
Must Have
10.2.2 User Story
As a fleet manager, I want to monitor real-time fuel levels and consumption rates so that I can detect fuel theft and optimize consumption
10.2.3 Preconditions
Fuel sensors installed and calibrated; Telematics data streaming
10.2.4 Postconditions
Fuel levels displayed accurately; Anomalies detected and alerted; Consumption analytics available
10.2.5 Test Cases
| Id | Description | Weight |
|---|---|---|
| FLEET-FUEL-TC-001 | Display current fuel level for all vehicles | High |
| FLEET-FUEL-TC-002 | Detect sudden fuel drop (>10L when engine off) and alert | High |
| FLEET-FUEL-TC-003 | Calculate fuel efficiency (L/100km) per vehicle and driver | High |
| FLEET-FUEL-TC-004 | Generate fuel consumption report by vehicle/driver/department | Medium |
| FLEET-FUEL-TC-005 | Reconcile fuel card transactions with sensor data | High |
10.3 Ft Fleet Predictive Maintenance
10.3.1 Priority
Must Have
10.3.2 User Story
As a fleet manager, I want AI-powered predictions for upcoming maintenance needs so that I can address potential issues before breakdowns occur
10.3.3 Preconditions
Nasera AI integration operational; Historical maintenance data available; Telematics data streaming
10.3.4 Postconditions
Maintenance predictions generated; Risk levels assigned; Alerts sent to managers
10.3.5 Test Cases
| Id | Description | Weight |
|---|---|---|
| FLEET-MAINT-TC-001 | Predict maintenance needs 30 days in advance with 80% accuracy | High |
| FLEET-MAINT-TC-002 | Alert when vehicle health score drops below 70 | High |
| FLEET-MAINT-TC-003 | Prioritize vehicles by maintenance urgency (critical/high/medium/low) | Medium |
| FLEET-MAINT-TC-004 | Integrate predictions with maintenance scheduling system | High |
10.4 Ft Fleet Route Planning
10.4.1 Priority
Must Have
10.4.2 User Story
As an operations manager, I want to plan optimal routes for patrols and operations so that I can minimize fuel consumption and improve efficiency
10.4.3 Preconditions
Nasera AI route optimization available; Conservation area maps loaded; Route preferences configured
10.4.4 Postconditions
Optimal routes calculated; Routes shared with drivers; Route performance tracked
10.4.5 Test Cases
| Id | Description | Weight |
|---|---|---|
| FLEET-ROUTE-TC-001 | Calculate optimal route for multi-stop patrol (5-10 stops) in < 5 seconds | High |
| FLEET-ROUTE-TC-002 | Reduce total mileage by 20-30% compared to manual routing | High |
| FLEET-ROUTE-TC-003 | Account for road conditions and conservation area restrictions | High |
| FLEET-ROUTE-TC-004 | Provide turn-by-turn navigation to driver mobile app | Medium |
10.5 Ft Fleet Driver Behavior
10.5.1 Priority
Must Have
10.5.2 User Story
As a fleet manager, I want to monitor driver behavior including speeding and harsh braking so that I can improve safety and reduce costs
10.5.3 Preconditions
Telematics accelerometer data available; Behavior thresholds configured; Driver profiles created
10.5.4 Postconditions
Behavior incidents logged; Driver scores calculated; Reports generated
10.5.5 Test Cases
| Id | Description | Weight |
|---|---|---|
| FLEET-DRIVER-TC-001 | Detect speeding incidents (>10% over limit) | High |
| FLEET-DRIVER-TC-002 | Detect harsh braking events (deceleration > 0.4g) | High |
| FLEET-DRIVER-TC-003 | Calculate monthly driver safety score (0-100) | High |
| FLEET-DRIVER-TC-004 | Generate driver comparison report for management | Medium |
| FLEET-DRIVER-TC-005 | Alert supervisors for critical safety violations | High |
10.6 Ft Fleet Mobile Driver
10.6.1 Priority
Must Have
10.6.2 User Story
As a driver, I want to access a mobile app for duty logging and navigation so that I can perform my duties efficiently
10.6.3 Preconditions
Mobile app installed; Driver authenticated; GPS enabled
10.6.4 Postconditions
Duty logged digitally; Navigation available; Vehicle checks documented
10.6.5 Test Cases
| Id | Description | Weight |
|---|---|---|
| FLEET-MOBILE-TC-001 | Log duty start with GPS location and odometer photo | High |
| FLEET-MOBILE-TC-002 | Complete pre-trip inspection checklist digitally | High |
| FLEET-MOBILE-TC-003 | Follow turn-by-turn navigation (offline map support) | Medium |
| FLEET-MOBILE-TC-004 | Report incident with photos and GPS location | High |
| FLEET-MOBILE-TC-005 | Log duty end with final odometer and fuel level | High |
10.7 Ft Fleet Bi Integration
10.7.1 Priority
Must Have
10.7.2 User Story
As a management team member, I want fleet data integrated with BI System so that I can analyze costs and performance alongside other organizational metrics
10.7.3 Preconditions
BI System API available; Fleet data pipeline configured; Authentication established
10.7.4 Postconditions
Fleet data synchronized to BI; Dashboards updated; Reports available
10.7.5 Test Cases
| Id | Description | Weight |
|---|---|---|
| FLEET-BI-TC-001 | Sync fuel consumption data to BI hourly | High |
| FLEET-BI-TC-002 | Sync maintenance costs to BI daily | High |
| FLEET-BI-TC-003 | Display fleet KPIs on BI executive dashboard | High |
| FLEET-BI-TC-004 | Enable cross-departmental cost analysis in BI | Medium |
11 Additional Context
11.1 Success Metrics
11.1.1 Fuel Cost Reduction
30% reduction through monitoring, fraud detection, and driver behavior improvement
11.1.2 Vehicle Downtime Reduction
50% reduction via predictive maintenance and proactive servicing
11.1.3 Utilization Improvement
40% improvement through better allocation and booking system
11.1.4 Fleet Visibility
100% real-time location tracking for all vehicles
11.1.5 Driver Accountability
100% digital duty logging replacing manual logbooks
11.1.6 Route Optimization
25% mileage reduction through AI-powered routing
11.1.7 Maintenance Cost Reduction
20% reduction through predictive vs reactive approach
11.2 Integration Architecture
11.2.1 Telematics Layer
OBD-II devices with GPS, fuel sensors, accelerometers sending data via cellular
11.2.2 Data Collection
Cloud-based ingestion pipeline processing telematics streams in near-real-time
11.2.3 Analytics Engine
Nasera AI analyzing patterns, predicting failures, optimizing routes
11.2.4 Presentation Layer
Web dashboard for managers, mobile app for drivers, BI integration for executives
11.2.5 Integration Apis
RESTful APIs connecting to Gateway, BI System, Nasera AI, and mobile applications