St Germain en Laye, December 23th 2024.
The autonomous vehicle is supposed to drastically reduce accidents and save lives. Road accidents in the West and even more so in the rest of the world are a major cause of mortality. We can recall the number of victims per year which amounts to 1.2 million people today. Much more than the victims of wars in Europe, the Middle East and all conflicts combined.
Automotive engineers know how to build safe cars, which brake very hard, which hold the road well, which do not explode while moving and which are structurally designed to protect the occupants in the event of an impact. On the other hand, they do not know much about road safety. This discipline is extremely complex. Accidents are fortunately rare events if we consider the number of miles traveled where nothing happens.
Road safety specialists are generally civil servants. They work on infrastructure and have an understanding of how accidents happen, because they receive and analyze information by road police, firefighters, etc.
Over the past 20 years, Nexyad has invested in 12 funded scientific research programs on road safety. It involved collaboration among hundreds experts, professional drivers, police of the road, and insurers from 19 countries. The first time by chance, then to capitalize on this knowledge. We met experts from 19 countries, we compared their opinions, defined a common vocabulary and finally synthesized all this knowledge. We extracted a corpus of rules of prudent driving. To make these rules simply usable, we built a metric of prudent driving. The metric is scaled from 0 to 100%. We designed it so that (the last decile) of the scale, from 90% to 100%, represents what road safety experts consider the 95% most dangerous or accident-prone driving situations.
Predit ARCOS 2004 – Predit SARI 2006 – MERIT 2006 – SURVIE 2009 – CENTRALE OO 2011 – CASA 2014 – SERA 2014 AWARE 2014 – RASSUR 79 2015 – SEMACOR 2015 – SEMACOR 2 2017 – BIKER ANGEL 2020
Today, we use this metric to measure in real time and on board driving of both humans and robotized drivers. When we detect lack of prudence, we can alert humans and we give feedback to control of autonomous driving with enough anticipation allowing time to slow down or/and change trajectory.
See our website pages:
Autonomous Cars & Autonomous Trucks driven by Prudence
BYOD Solutions for Fleets: Bring Your Own Device Solutions
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