Project Roadmap
Project Timeline Overview
Month 1
Sprint 1: Requirements Analysis & Technical Validation
- Week 1: Stakeholder meetings for requirement gathering, core KPI definition
- Week 2: Technical feasibility validation, CV model testing under various weather conditions
- Week 2: Sprint Review & Sprint Retrospective
Sprint 2: MVP Scope Definition
- Week 1: Define MVP feature scope, create Product Backlog
- Week 2: Story Point estimation, determine Sprint Backlog
- Week 2: Sprint Review & Sprint Retrospective
Month 2
Sprint 3: Core Feature Development - Data Collection
- Week 1: Implement basic vehicle detection
- Week 2: Develop speed monitoring module
- Week 2: Sprint Review & Sprint Retrospective
Sprint 4: Core Feature Development - Data Visualization
- Week 1: Develop real-time data dashboard
- Week 2: Implement basic statistical charts
- Week 2: Sprint Review & Sprint Retrospective
Month 3
Sprint 5: Performance Optimization
- Week 1: System performance testing and optimization
- Week 2: Multi-intersection concurrent processing optimization
- Week 2: Sprint Review & Sprint Retrospective
Sprint 6: Launch Preparation
- Week 1: User training material preparation
- Week 2: System deployment and configuration
- Week 2: Sprint Review & Project Retrospective
User Stories
Feature Distribution
Story Point Distribution
Real-time Monitoring
40%
Data Analysis
30%
System Optimization
20%
User Interface
10%
Risk Assessment
Technical Complexity
High
Data Accuracy
Medium
Integration Challenges
Medium
User Adoption
Low
Traffic Management Department - Real-time Data Monitoring
As a traffic management department staff member,
I want to monitor real-time traffic flow and vehicle type distribution at intersections,
So that I can promptly dispatch police or adjust traffic signals when congestion or anomalies occur.
Acceptance Criteria:
- Data update frequency: System updates every 30 seconds
- Dashboard must display:
- Real-time traffic flow (vehicles/minute)
- Vehicle type distribution (small, medium, large vehicles)
- Traffic density heat map for each direction
- Historical data comparison (vs. same period last week)
- Alert functionality:
- Trigger alerts when traffic density exceeds threshold (>80%)
- Alert information must include: location, severity, recommended actions
- Support alert acknowledgment and closure
Edge Cases:
- System Performance:
- Handle system downtime during updates
- Maintain data collection during power outages
- Recover from network interruptions
- Handle multiple concurrent users accessing the dashboard
- Weather Conditions:
- Maintain accuracy during heavy rain or snow
- Handle foggy conditions
- Adjust for different lighting conditions (day/night)
- Account for seasonal changes (leaves, snow accumulation)
- Traffic Conditions:
- Handle extremely high traffic volume
- Detect and report accidents or road closures
- Account for construction work zones
- Handle emergency vehicle priority
- Data Validation:
- Handle missing or corrupted data
- Detect and flag suspicious data patterns
- Maintain data integrity during system updates
- Handle time zone changes and daylight saving time
Urban Planning Analyst - Long-term Trend Analysis
As a data analyst in the urban planning department,
I want to access vehicle data trends over the past week or month (including peak flow, average speed, traffic violations),
So that I can evaluate whether the intersection needs additional lanes or traffic signal timing adjustments.
Acceptance Criteria:
- Report generation:
- Support daily, weekly, monthly automatic report generation
- Reports must include: flow statistics, speed analysis, violation statistics
- Support custom time range data export
- Data export:
- Support CSV, Excel format export
- Export data must include raw data and statistical results
- Support batch export of multiple time periods for comparison
- Data accuracy:
- Vehicle recognition accuracy ≥95%
- Speed measurement error ≤±5km/h
- Violation detection accuracy ≥90%
Edge Cases:
- Data Analysis:
- Handle missing data periods in trend analysis
- Account for special events (holidays, festivals, sports events)
- Detect and handle data anomalies
- Support comparison across different time zones
- Report Generation:
- Handle large dataset report generation
- Support custom report templates
- Allow report scheduling and automation
- Handle concurrent report generation requests
- Data Export:
- Handle export of large datasets
- Support different file formats and encodings
- Handle export failures and retry mechanisms
- Support partial data export
- System Integration:
- Handle API rate limits
- Support data backup and recovery
- Handle system version updates
- Support integration with external analysis tools
Project Management
Scrum Framework Implementation
- Sprint Planning
- Sprint duration: 2 weeks
- Daily standup: 9:00-9:15
- Sprint Planning: 4 hours before sprint start
- Sprint Review & Sprint Retrospective: 2 hours before sprint end
- Artifacts
- Product Backlog: Requirement pool, continuously updated and optimized
- Sprint Backlog: Current sprint tasks
- Burndown Chart: Track sprint progress
- Velocity Chart: Track team velocity
Estimation Methods
- Story Point Estimation
- Use Fibonacci sequence (1,2,3,5,8,13) for estimation
- Team estimation through Planning Poker
- Consider complexity, uncertainty, and effort
- Task Breakdown
- Each task should not exceed 8 Story Points
- Ensure tasks can be completed and tested independently
- Include necessary documentation and test cases
- Risk Management
- Reserve 20% buffer time per sprint
- Identify and track technical debt
- Regular risk assessment and adjustment