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Visual Intelligence
Drone Analytics for High-Density Traffic Junctions
Vehicle Count, Classification & Simulation for National Transport Authority
20
Junctions Analyzed
97%
Counting Accuracy
12
Vehicle Classes
28%
Flow Improvement
Executive Summary
Project Scope
- Drone-based analytics across 20 busiest junctions
- Drone feeds analyzed using AI vision models
- Traffic efficiency recommendations and simulation
Key Outcomes
- 97% accurate vehicle counting
- Classification into 12 vehicle categories
- Signal timing optimization improved efficiency by 28%
Impact at a Glance
97%
Vehicle Counting Accuracy
94%
Classification Accuracy
18% Less
Pedestrian Wait Time
The Challenge
High-density junctions suffered from inefficient signal timings and chaotic peak flows, causing significant congestion.
Operational Issues
- No exact visibility into vehicle load at junctions
- Manual surveys were unreliable and time-consuming
- No reliable vehicle classification models to determine load efficiency
Analytical Bottlenecks
- Mixed vehicle classes making analysis complex
- Congested junction geometries
- High variability during festivals & monsoon seasons
Drone + AI Implementation
1
Phase 1: Data Capture
- Flight operations at 40 junctions
- Peak/off-peak capture cycles
- Stabilized video ingestion
2
Phase 2: AI Processing
- Vehicle counting
- Vehicle type classification (12 classes)
- Turn ratio mapping
- Conflict zone detection
3
Phase 3: Simulation
- Micro-simulations using real data
- Traffic flow optimization recommendations
- New signal phase cycles suggested
AI Capabilities
Real-time object detection
Conflict zone analysis
Origin-Destination modelling
Flow simulation engine
Turn ratio analytics
Queue length estimation
Infrastructure
PlatformDrone fleets + Cloud Analytics
Video ProcessingHigh-throughput pipelines
Reliability98.4% processing rate
Performance Impact
Analytics Accuracy
Vehicle Counting97%
Classification94%
Efficiency Gains
- 28% improved flow efficiency in pilot junctions
- Pedestrian wait time reduced by 18%
- Queue length reductions during peak hours
- Data-backed signal timing recommendations
Stakeholder Feedback
"
We finally have scientific, data-backed signal timings.
NTP
National Transport Planner
Transport Authority
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