TRL have published a study that considered the scenario of traditional and autonomous vehicles coexisting, and revealed that 22% of collisions could be avoided if we supposed that one of the vehicles was replaced by a level 4 automated vehicle. This type of vehicle is controlled for the entire dynamic driving task, both laterally and longitudinally, within a defined use case (e.g. motorway driving) such that the human driver is not required or expected to intervene.
The study developed and applied a methodology that can be used to investigate the potential effect of the introduction of automated vehicles on the future collision scene. This methodology was applied to a limited scope of collisions; one and two vehicle collisions involving at least one car that resulted in a fatal or serious injury.
While the methodology provides insight into the possible impact of automated vehicles on collision scenarios, there is currently a lack of publically available aggregated data about the introduction of automated technology into the vehicle fleet and its behaviour in near misses and collision scenarios.
“Whilst individual companies are collecting data relating to the performance of their technology in collisions and near misses, what we need is for OEMs and technology providers to come together to help develop an aggregate data set to provide a better picture of uptake of automated vehicles within the vehicle fleet and collision rates of automated vehicles.”
“It is also essential to ensure the right high-tech expertise is in place to investigate collisions that involve automated vehicle technologies so that lessons can be learnt as quickly as possible to determine how improvements can be made in the future.”
