Interpretation of Risk Profiles with SafetyNex
A new paper by Nexyad



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NEXYAD has been developing the smartphonte application SafetyNex which estimates the risk of driving in real time [1]. SafetyNex is both a driver assistance system (ADAS), which alerts the driver (vocal alert) before danger (When the risk increases too much), and a telematics system that records risk profiles and usage profiles.
Warning before the danger gives the driver time to slow down and avoid the accident. Road Safety studies show that SafetyNex can reduce the number of accidents by 20% [2]. This simple functionality is of interest of car insurers, fleet managers, and to car manufacturers.
SafetyNex also rewards the driver with cups (gold, silver, bronze) that can be transformed into money incentive (vouchers, etc.) so that the safe drivers stil have a daily interest to go on using SafetyNex. Indeed, tools that are not used over a period of time rarely have a real effect on the accidentology. SafetyNex is therefore distinguished from other products, on the one hand by its real time and driving assistance, but also for its “reward” side. SafetyNex informs the driver In real time when the risk exceeds a threshold of danger, than one can say that SafetyNex gives the risk in the hands of the driver first. The driver is in control of his/her risk.
Then SafetyNex distinguishes from all telematics products that ultimately provide information to the insurer or fleet manager, but not to the driver who feels rightly spied on.
Risk and usage profiles [3] are forwarded to managers who have an interest in minimizing risk and the number of accidents. This paper presents a simple way to interpret the risk profiles constructed by SafetyNex.

SafetyNex estimates risk of driving at every instant.
Since SafetyNex also measures usages, it measures among other things the durations and the number of traveled kilometers.
One can then construct the curve Risk (t) which is the risk at each moment, and also the curve Risk (km) which is the risk at each point of the route.

Risk Distance

Risk Distance rated

Let’s consider one or the other of those curves, it is easy then to cut the risk into slots:

Risk 03

It is therefore possible to calculate the total duration spent [resp the total number of km carried out] with a risk
between 10% and 20%, for example (or between 50% and 60%). The graph of these durations [resp number of km] for each range of risk (0% -10%, 10% -20%, etc.), looks like :

Graph 4

It can be seen that this graph can be seperated into three parts:

Graph 05

. A very high bar of near zero risk
. A shape of « bell curve » comparable to a gaussian
. Rising at the very end towards high risks
NEXYAD has run over 3,500 testers since June 2016, and has been able to interpret the shapes of these curves.

The large quasi-zero risk bar simply expresses the fact that overall the car is a safe mode of transportation.
The part that draws a bell curve has a more or less strong spread : we have noticed that experienced drivers have a narrow curve (repeatability of their driving style is high) while beginners have a huge spread (they can’t drive always the same way).
The centering of the bell curve (maximum likelihood) corresponds to the way in which the driver takes a controlled Risk : cautious beginners have a low maximum likelihood (they try to take as less risk as they can) while experienced drivers have a higher maximum likelihood : they know what risk level thay can cope with.
Finally, the values that go up to the right (tail of distribution of the curve in bell) correspond to the vocal alerts, that is to saycases where the driver has not fully understood that the risk is high. In other words, it is the lack of anticipation and misunderstanding of road.

SafetyNex’s risk profiles make it possible to understand the kind of driver you have :
. Cautious / not cautious (maximum likelihood of the bell curve position)
. Experienced / beginner (spreading of the bell curve)
. Lack of anticipation / very good anticipation (queues of distribution of the curve in bell)
Fleet insurers and managers therefore have all the information that they need to help the driver.
For example, within the framework of prevention plans, offering training adapted to each type of risky driving.
We validated this information by driving 3,500 testers, including beginners, experienced drivers, and also pilots (who in take risks appearance, but in reality have a very safe driving). This allowed us to give these interpretations of SafetyNex’s risk profiles.
With the deployment of SafetyNex to reduce the number of accidents, professionals structurally gain margin, and can use this margin to analyze profiles, segment them, and find the segments where it may be interesting to develop UBI (Usage Based Insurance) and real time pricing fleet.
This multi-functionality of SafetyNex makes it a unique and effective tool for managing driving risks.





Conference at “Cercle LAB” Paris

Several times a year, the “Cercle LAB” organizes conferences giving the opportunity for Startups to present innovative products or services to insurers. Last April 24th, thema was Internet Of Things or with others words Connected Objects as SafetyNex by Nexyad.

SafetyNex is a real time driving risk assessment smartphone App that warns (vocal alert) the driver before danger, letting time to slow down and avoid accident, and that records risk profiles and usage profiles on the NEXYAD cloud.
Road Safety studies show that SafetyNex can reduce by 20% accident rate (ref)
This smartphone App is disruptive, as it lets insurance companies and fleet management teams decrease the number of accident before they try any new digital pricing or strategy.
Of course, UBI is easy with SafetyNex because :
. usage is completely described
. risk profiles give : risk that the driver agrees to take, extertise level of the driver, lacks of anticipation of the driver
This conference at Cercle LAB (Laboratoire Assurance Banque) in Paris was very interesting and led to questions and new contacts with insurance companies (SafetyNex is under deployment and testing worldwide).

Gerard Yahiaoui
Gérard Yahiaoui presenting SafetyNex


Newsletter Automotive & Transportation #16 is now available

NEXYAD Automotive & Transportation Newsletter #16, April 11th, 2017


Achieving of real time risk assessment in car telematics with Safetynex

Headlines :

– New Rating of Nexyad by Early Metrics
– BIKER ANGEL Project selected for Government funding (FUI23)
– Conference on Machine Learning organized by SNCF
– Nexyad Paper at 1er European Conference on Connected and Automated Driving
– Meeting Mov’eo, Systematic and Cap Digital
– Nexyad has visited 6th “les Rencontres Flotauto”
– Nexyad in Media
– SafetyNex available on stores for testers (Apple and Google)
– Groupement ADAS welcomed New Member NIT New Imaging Technologies
– Articifial Vision Products of Nexyad

Read the Newsletter #16


Un article de
annonce le financement FUI de Baker Angel

BIKER ANGEL : le projet R&D collaboratif reçoit le financement du FUI – Régions


Fin mars 2017, les Ministres chargés de la politique des pôles de compétitivité ont annoncé les résultats du 23ème appel à projets du Fonds Unique Interministériel (FUI) – Régions dédié au financement de projets des pôles de compétitivité. 55 projets de R&D collaboratifs associant au moins deux entreprises et un laboratoire de recherche ou un organisme de formation ont été sélectionnés parmi 121 candidats. Ils profiteront de l’aide de l’Etat de 38M €, ainsi que d’une aide des collectivités territoriales de 38M € et de 2M € de fonds communautaires. 

Parmi les dossiers sélectionnés lors de ce prestigieux appel à projet figure Biker Angel, projet porté par Nexyad, membre du Pôle Finance Innovation. Il s’agit d’une solution technologiquement innovante qui permet de répondre à la problématique d’accidentologie des deux-roues motorisés supérieurs à 50CC. Elle permet notamment d’anticiper le danger imminent en temps réel et d’avertir le conducteur pour qu’il puisse réduire la vitesse.

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Conference on Machine Learning organized by SNCF

Very interesting conference on Machine Learning and Deep Learning.
SNCF RESEAUX welcomed a large audience last tuesday 28th march in Saint Denis.

French experts of A.I. field were introduced by Claude Solard SNCF réseau Chief Operating Officer and Jean-Jacques Thomas Director of Innovation.
Christophe Garcia, Full professor at INSA Lyon, deputy director of the LIRIS laboratory, gave an introduction to Neural Networks and Artificial Intelligence and answered to the audience’s questions.
Then, Gérard Yahiaoui, CEO of Nexyad, Vice President of the MOV’EO Cluster, explained the Criteria for use and Methodology for implementation: the methodology AGENDA.

SNCF Conference Gerard Yahiaoui
Gérard Yahiaoui CEO of Nexyad

From CEA List, Jean-Marc Philippe presented “Tools of the Network to the Optimized System”. The conference continued with a roundtable about the SNCF Cafeine Project or how to go from the industrial need to the applied solutions in SNCF Réseau; animated by Alain Rivero, SNCF Réseau Director of Cafeine Project; Xavier Roy, Head of Innovation of ITNovem; Michel Paindavoine, co-founder of Global Sensing Technologies and professor at University of Bourgogne; and Jean-Jacques Thomas Director of innovation of SNCF Réseau.

The CAFEINE Project proposes to use the Artificial Neural Networks to detect the defects of pantographs on moving trains, and also to read the number of each wagons, oars and containers.

Another roundtable was organized about Startups and A.I. with Kunthirvy Collin-Dy, Head of relationships with Startups of SNCF Réseau Robot Lab; and Yannick Gérard, Head of Project of DAVI.
Patrick Bastard, Director of Driving Assistance Systems engineering of Renault, ended the conference with a presentation on an opening to other fields of application : vehicles electrification, ADAS and autonomous driving.

Conference SNCF 3 speakers
From the left : Jean-Marc Philippe, Patrick Bastard et Christophe Garcia


BIKER ANGEL Project selected for Government funding

The FUI23 French collaborative research program published the list of projects that are approved : The project BIKER ANGEL (adaptation of the real time driving risk assessment module SafetyNex to motorbikes) is selected !
Biker Angel Project led by NEXYAD was already labelised by Competitiviness Cluster FINANCE INNOVATION.

Le programme de recherche collaborative FUI23 (Fond Unifié Interministérielle) a publié la liste des projets approuvés : BIKER ANGEL est sélectionné (adaptation du logiciel de mesure du risque en conduite temps réel SafetyNex pour la moto).
Le projet BIKER ANGEL porté par NEXYAD avait déjà été labelisé par le Pôle de Compétitivité FINANCE INNOVATION.


Biker Angel


New Rating by Early Metrics

NEXYAD has just been rated again by the rating agency Early Metrics and got the score of 81/100 which puts us in the top 2% of companies rated by Early Metrics. This rating is primarily for investors.

Early Metrics is an European rating agency of startups and SMEs.

Nexyad 5 stars rating by Early Metrics


Nexyad has visited 6th “les Rencontres Flotauto”

On Thursday, March 9, the “Rencontres Flotauto” or Professional fleet meeting were held in Paris.

This important event brings together all players of the fleet sector.
Suppliers of telematic equipment such as Nomadic Solutions, a French eco-driving specialist. Pure fleet management as Fleetmatics a French SME recently acquired by the American giant Verizon . New mobility startups such as OpenFleet which offers car sharing solutions for professionals. Almost all the European and Japonese car manufacturers were also represented by their Fleet subsidiary such as Volkswagen Group Fleet Solution.

Flotauto Fleetmatics
Fleetmatics booth

Flotauto Nomadic Solutions CarteCarburant
Nomadic Solutions on the right and Carte Carburant Leclerc on the left


Mov’eo launches its SME champion program
to accelerate the growth of French jewel in the market

Mov’eo lance son programme PME championne pour accélérer la croissance des pépites françaises sur le marché

Un article paru dans

Depuis 10 ans déjà, Mov’eo facilite les innovations en matière de transport intelligent et de mobilité entre les initiatives entrepreneuriales et les grand groupes automobiles. Fort de cette expérience, le pôle de compétitivité lance « PME championne », un nouveau programme d’excellence pour permettre aux PME et aux start-up innovantes de passer la vitesse supérieure. Objectif pour Mov’eo : identifier et accélérer 3 pépites disruptives dans l’écosystème français par an. NEXYAD et ADACCESS sont les deux premières à intégrer ce programme d’exception.

Un programme pour booster les PME et les start-up au plus fort potentiel sur le marché .

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When Car Manufacturers learn from Silicon Valley
Nexyad dans les médias

Quand les constructeurs s’inspirent de la Silicon Valley

Un article de Vincents Desmonts paru dans Motor Legend.

Les constructeurs automobiles prennent modèle sur les start-ups pour inventer de nouvelles méthodes de travail. L’objectif ? Attirer de nouveaux talents, coller au plus près des évolutions technologiques et rester dans la course à l’innovation face aux Google, Apple et autres Tesla.
En 2004, PSA inaugurait en grande pompe son centre d’études ADN (Automotive Design Network), à Vélizy (78). Extérieurement, un bâtiment à l’architecture futuriste, toisant de sa hauteur respectable la route nationale 118 qui file en contrebas. À l’intérieur, en revanche, l’ADN est plus classique : des locaux standard, propres mais un peu austères, à l’image du reste du centre d’études de Vélizy, implanté là depuis les années 1960.

Pourtant, un nouveau service s’y est installé, qui semble bénéficier d’un traitement de faveur. Il se distingue déjà par son nom : UX City (ou UXCT), suggérant que l’on pénètre ici dans un monde un peu à part. Spécialisé dans les interfaces et la vie à bord, ce nouveau plateau a poussé comme un champignon en cinq mois, et regroupe déjà 230 spécialistes issus d’horizons aussi variés que le cinéma, les sciences humaines, l’ingénierie ou la programmation. Dans cette City dans la cité, les salles de réunion s’appellent des « wagons » (et on peut y écrire sur les murs, qui sont revêtus de films plastiques lavables !), l’open space a des allures de loft new-yorkais aux murs colorés et l’on y trouve même des… parasols ! Pour un peu, on pourrait se croire chez Google ou Facebook.

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