Road User Behaviour Analysis with AI Computer Vision
Monitor helmet usage, protective gear compliance, vulnerable road users, and rider safety behavior using AI-powered video analytics.
What is Road User Behaviour Analysis?
Road user behaviour analysis uses AI computer vision to monitor and analyze how people use roads and comply with safety regulations. The technology detects helmet usage, protective gear, vehicle types, and rider behavior patterns from existing CCTV camera footage.
Ghost Analytics performs road user behaviour analysis by applying computer vision algorithms to traffic camera feeds. The system automatically detects motorcyclists, cyclists, e-scooter riders, and pedestrians, then analyzes their safety compliance and behavior patterns.
This technology enables transport authorities and councils to monitor road safety compliance, identify vulnerable road users, and develop targeted safety programs based on actual behavior data rather than manual observations.
Road User Behaviour Monitoring Capabilities
Comprehensive monitoring of road user safety and compliance
Helmet Detection
Detect motorcyclists and cyclists wearing or not wearing helmets.
Protective Gear Monitoring
Monitor usage of protective gear and safety equipment by riders.
Vulnerable Road User Detection
Identify pedestrians, cyclists, and e-scooter riders.
Vehicle Type Classification
Classify motorcycles, bicycles, e-bikes, e-scooters, and other vehicles.
Illegal E-Bike Detection
Detect non-compliant e-bikes and e-scooters on roads.
Behaviour Pattern Analysis
Analyze rider behaviour patterns for safety programs.
Helmet Detection for Road Safety Programs
Ghost Analytics detects whether motorcyclists and cyclists are wearing helmets using AI computer vision. The system analyzes video footage from traffic cameras to identify riders and determine helmet compliance automatically.
Motorcyclist Helmet Detection
Detect helmet usage by motorcyclists for safety compliance monitoring.
Cyclist Helmet Detection
Monitor helmet usage by cyclists for road safety programs.
Compliance Rate Analysis
Calculate helmet compliance rates by location, time, and rider type.
Safety Program Evaluation
Measure effectiveness of helmet safety campaigns and education programs.
Vulnerable Road User Detection
Identify and monitor vulnerable road users including pedestrians, cyclists, motorcyclists, and e-scooter riders. The system tracks their movements and interactions with traffic to improve road safety.
Pedestrian Detection
Detect pedestrians crossing roads, walking near traffic, and using pedestrian infrastructure.
Cyclist Monitoring
Monitor cyclists using roads, bike lanes, and shared paths for safety analysis.
E-Scooter Detection
Detect e-scooter riders and monitor their usage of roads and paths.
Motorcyclist Tracking
Track motorcyclists and analyze their behavior patterns for safety programs.
Transport Authority Use Cases
Road user behaviour analysis is used by transport authorities, councils, and road safety organizations for:
Helmet compliance monitoring programs
Road safety campaign evaluation
Vulnerable road user safety analysis
E-bike and e-scooter regulation enforcement
Cyclist and pedestrian safety studies
Rider behaviour pattern analysis
Safety infrastructure effectiveness assessment
Road safety education program development
Monitor Road User Behaviour with AI
Book a demo to see how Ghost Analytics monitors helmet usage, protective gear, and rider safety compliance.