AI Traffic Surveys - Automated Traffic Counting & Classification | Ghost Analytics
AI Traffic Surveys

AI Traffic Surveys Using Existing CCTV Cameras

Automated traffic counting, vehicle classification, and traffic analytics using AI computer vision on your existing camera infrastructure. No manual surveys, no road closures, no additional hardware.

What are AI Traffic Surveys?

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.

AI Traffic Survey Capabilities

Comprehensive traffic data collection using computer vision and existing CCTV cameras

Automated Traffic Volume Counts

Continuous vehicle counting with AI computer vision. Real-time and historical traffic volumes for network planning and modeling.

AI Vehicle Classification

Automated classification of cars, trucks, buses, motorcycles, bicycles, and e-scooters using computer vision. Supports Austroads standards for Australia and New Zealand.

Speed Analysis

Vehicle speed distribution, 85th percentile speeds, and compliance rates from video analytics. Supports road safety audits.

Intersection Turning Movements

Automated turning movement counts at intersections using AI. Peak hour analysis for signal timing optimization.

Pedestrian and Cyclist Counts

Automated counting of pedestrians, cyclists, and e-scooter riders using computer vision for active transport planning.

Queue and Congestion Monitoring

Real-time queue length detection and congestion analysis from camera feeds for traffic management.

How Ghost Analytics Performs AI Traffic Surveys

1. Connect to Existing CCTV Infrastructure

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.

2. Apply AI Computer Vision Analytics

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.

3. Extract Comprehensive Traffic Data

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.

4. Access Data Through Dashboards and APIs

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.

Benefits of AI Traffic Surveys

Uses Existing Cameras

No additional hardware installation. Works with CCTV cameras already deployed by transport authorities.

No Road Closures

Perform traffic surveys without disrupting traffic flow or requiring road closures.

Continuous Monitoring

Collect traffic data 24/7 automatically. No time-limited manual surveys.

Lower Cost

Reduce traffic survey costs by using existing infrastructure instead of deploying field equipment.

Austroads Compliance

Vehicle classification supports Austroads standards for Australia and New Zealand transport projects.

Historical Data Access

Access historical traffic data and analyze trends over time for planning and modeling.

Transport Authority and Council Use Cases

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

Austroads Vehicle Classification Standards

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.

Austroads Vehicle Categories Supported

Motorcycles
Cars and passenger vehicles
Light commercial vehicles
Rigid trucks (2-axle, 3-axle, 4-axle)
Articulated trucks
Buses
Bicycles and e-bikes
Other vehicle types

Ready to Perform AI Traffic Surveys?

Book a demo to see how Ghost Analytics performs automated traffic surveys using your existing CCTV camera infrastructure.