AI traffic surveys use artificial intelligence and computer vision to automatically collect traffic data from video footage. Unlike traditional manual traffic surveys that require field staff and temporary equipment, AI traffic surveys analyze existing CCTV camera feeds to extract comprehensive traffic data.
Ghost Analytics performs AI traffic surveys by connecting to your existing traffic camera infrastructure and applying computer vision algorithms to video streams. The system automatically detects, tracks, and classifies vehicles, pedestrians, and cyclists in real-time, providing continuous traffic data without disrupting traffic flow.
Transport authorities and councils across Australia use Ghost Analytics to perform automated traffic surveys, reducing costs and enabling continuous traffic monitoring using cameras they already have deployed.
Comprehensive traffic data collection using computer vision and existing CCTV cameras
Continuous vehicle counting with AI computer vision. Real-time and historical traffic volumes for network planning and modeling.
Automated classification of cars, trucks, buses, motorcycles, bicycles, and e-scooters using computer vision. Supports Austroads standards for Australia and New Zealand.
Vehicle speed distribution, 85th percentile speeds, and compliance rates from video analytics. Supports road safety audits.
Automated turning movement counts at intersections using AI. Peak hour analysis for signal timing optimization.
Automated counting of pedestrians, cyclists, and e-scooter riders using computer vision for active transport planning.
Real-time queue length detection and congestion analysis from camera feeds for traffic management.
Ghost Analytics connects to your existing traffic camera network. Works with RTSP, ONVIF, HLS, and proprietary camera protocols. No new cameras or field equipment required.
AI-powered computer vision algorithms analyze video streams in real-time. The system detects vehicles, pedestrians, and cyclists, tracks their movement, and classifies vehicle types automatically.
The platform extracts traffic counts, vehicle classifications, speeds, turning movements, queue lengths, and other traffic metrics. Data is collected continuously 24/7 without manual intervention.
View traffic data through dashboards, generate reports, and export data via APIs. Use traffic data for transport planning, traffic modeling, infrastructure design, and smart city initiatives.
No additional hardware installation. Works with CCTV cameras already deployed by transport authorities.
Perform traffic surveys without disrupting traffic flow or requiring road closures.
Collect traffic data 24/7 automatically. No time-limited manual surveys.
Reduce traffic survey costs by using existing infrastructure instead of deploying field equipment.
Vehicle classification supports Austroads standards for Australia and New Zealand transport projects.
Access historical traffic data and analyze trends over time for planning and modeling.
Ghost Analytics AI traffic surveys are used by transport authorities, councils, and smart cities across Australia for:
Traffic volume studies for infrastructure planning
Vehicle classification for transport modeling
Intersection turning movement analysis
Speed compliance monitoring and road safety audits
Pedestrian and cyclist counting for active transport planning
Queue and congestion monitoring for traffic management
Before-and-after studies for road changes
Smart city traffic data collection and analytics
Ghost Analytics supports Austroads vehicle classification standards for Australia and New Zealand. The AI system classifies vehicles according to Austroads categories for transport planning and infrastructure design projects.
Book a demo to see how Ghost Analytics performs automated traffic surveys using your existing CCTV camera infrastructure.