Contextual Speed Scoring: Assessing the Risk of Crash Involvement
Excessive speed is widely accepted to be a contributory factor in many vehicle crashes. Several studies have demonstrated that the risk of having an accident, involving casualties, rises exponentially with increasing speed above the mean speed of other traffic. This has been demonstrated in both urban and rural environments1,2,3.
By recording actual speed data from our base of more than 70,000 commercial vehicles in the UK, Quartix matches geospatial data to 2.6 million roads in the country, resulting in a database of more than 1 million speed distributions, of statistical significance.
Following its launch in 2012, the “SafeSpeed” database4 was made available to fleet customers as a training and monitoring tool, allowing them to compare their drivers’ speeds for each data point against the speed distribution of other road users at that location. We are the first telematics company in the UK to offer contextual speed scoring.
With this new release of the product, Quartix makes the SafeSpeed data an integral part of its driver scoring for risk assessment, with the capacity to score every movement event, and it makes the database available to its insurance and fleet customers through fast APIs in its range of web services (“QWS”).
This paper describes the technology and software involved in the database, gives practical examples of speed distributions from the UK road network and demonstrates why using a contextual speed scoring system provides a much better indication of accident risk for insurers than measures which are based solely on statutory speed limits.
- Speed as an indicator of accident risk
- Statutory speed limits are an unsatisfactory benchmark for many rural roads
- How contextual speed scoring helps
- A practical example on a rural road
- Why white-van man provides a good benchmark for driving behaviour
- Practical application of contextual speed scoring, and future developments