Road User Behaviour Analysis

As road safety agencies are taking on the Towards Zero vision (or Vision Zero), it has been recognised that observing crashes to prevent crashes is simply a reactive approach which makes it extremely difficult, if not impossible, to achieve the ultimate goals.

Our Road User Behaviour Analysis Solution is a cutting-edge, end-to-end proactive safety data collection and analysis method that enables evidence based evaluation and prioritisation of safety treatments before crashes actually occur.

Proactive Surrogate Mesurements

Proactively identify road safety risks and prioritise investments to prevent road collisions.

Comprehensive Safety Metrics

A better understanding of contributing factors and the failure mechanism that leads to collisions.

Unparallel Precision

A world-first end-to-end computer vision technology that achieves centimetre accuracy.

METRICS

Conventional performance evaluation of safety treatments is done using tubes and traffic counters, which although reliable and relatively cheap, involves exposing field staff to a high degree of risk, and the opportunities for sophisticated analysis of road user behaviour (proactive safety measures) are limited.

 

Our solution, therefore, employs a combination of drone and closed-circuit television (CCTV) video of the site with advanced 3-dimensional mapping and machine learning technology capture the data safely from an off-road position. The technology is highly sophisticated and enables evaluation of proactive safety surrogate measures as follows:

Lane Position

The placement of vehicle wheel path.

Volumes

Number of vehicles detected in a defined time period.

GAP

Measure of the time between the rear bumper of the first vehicle and the front bumper of the second vehicle,

Speed

Speed of individual vehicles traversing through the area of interest (Spot or Segment Speed).

Classification

Vehicle classes (bicycles, motorbikes, passenger cars, buses etc…)

Weather Conditions

Wet, dry, sunny, rain etc…

Time Headway

The time between the front bumper of the leading and the front bumper of the following vehicle

Evaluating Motorbike Perceptual Counter Measures

Department of Transport - Safer Roads

The objective of this evaluation project is to assess whether PCMs improve safety for motorcycles travelling through a curve. Our Computer Vision technology is able to collect data as a motorcycle, or vehicle, travels through approximately 50 metres of the mid-curve....

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