Renault will sell the new services thanks to connected vehicles. For now, the advent of the connected car should make it possible to generate activity after the automaker’s sale by keeping the vehicles longer in the Renault system. This is what Lucas de Meo, CEO of the Renault group, enjoyed on the stage of the Viva Tech show.
Security and convenience services based on connected data
At the same time, Mobilize, a Renault entity, is officially launching three services based on the use of data from connected vehicles and artificial intelligence at the Viva Tech show. These services offer to improve road safety, optimize road maintenance and predict the optimal positioning of charging stations for electric vehicles. We also noticed the presence at the Google stand of a Renault Mégane E-Tech and its on-board Google interface, along with Google Maps, Google Assistant and Google Play.
In detail, thanks to connected vehicles, Renault will maintain a permanent link to its cars, even if the owner no longer has his vehicle serviced on the Renault network, and this is a unique opportunity for the car manufacturer. . ” One area where we are typically profitable in the automotive industry is after-sales. Often people after the warranty period go out here and choose an independent operator because it is cheaper or for convenience. recollection of Lucas de Meo.
The connected vehicle is a game-changer. ” In a connected car, and the company is permanently connected to the product, for the first time in the automotive industry, it means that technically the customer stays in the after-sales system for the life of the car. And every day he is there, we have a chance to earn he declared.
Renault uses data and artificial intelligence
At Viva Tech, Renault also showcased three services it will market based on data from connected vehicles. “ Mobilize uses data and artificial intelligence to better serve its customers announced Nathalie André, Business Director of Data and new services at Mobilize, a commercial entity of Renault.
Mobilize launched three services for public authorities. Mobilize comprises these data -based services. For these purposes, the brand aggregates, with the consent of the drivers, the data of the connected vehicles as well as of the infrastructures and partners. The first three services launched involved the positioning of electric charging stations in the territory, state diagnostics of roads to optimize maintenance costs, and the securing of roads vis-à-vis the car accident. The positioning of electric charging stations will be calculated based on the needs of the user.
” This service is based on data coming from vehicles. We examine the behavior of electric vehicle drivers described by Shabnam Khosravi, product manager at Mobilize. ” We aggregate that data, we put artificial intelligence, machine learning, on top of it, that overlays the infrastructure [NDLR : routière]. We can guide the best positioning of electric charging points he explained.
Prediction of pavement defects to be corrected as a priority
Another service offered has to do with optimizing road maintenance. ” Mobilize’s offer is to help local authorities optimize road works, by prioritizing and predicting defects to be corrected. continued Shabnam Khosravi. ” This service comes from cross-analysis of vehicle data to detect road defects, and image to analyze the defect, and finally to artificial intelligence to predict the evolution of defects over time, according to importance he says. ” This will help in optimizing and reducing road maintenance budgets ” he says. ” This will reduce noise pollution, CO2 emission pollution, for more comfortable and safer roads. he added.
More specifically, ‘Smart Road Monitoring’ is a road quality diagnostic service to ensure better management, both in terms of optimization and prediction, of the adjustments to be implemented. This service is based on a combination of data and images from connected vehicles. In fact, the service uses a sensor developed by Renault that detects road defects, and a camera that associates an image with each of the defects identified by the sensor.
A category is used to prioritize the work to be performed and to estimate the associated budget. For communities, this translates into lower maintenance costs, but also into noise pollution and CO2 emissions. ” In the Data team, we want the data and we want the facts underlined by Nathalie André. “ In France, 2000 km of roads are severely damaged and 40% of our speed bumps are not compliant. We spend 15 billion euros in France a year to maintain the roads he remembers.
Inadequate signage causes many accidents
Finally, the latter service aims to improve road safety. ” 30% of roads have defects. That means inappropriate signage, and it causes a lot of accidents. Also, car parks are not well planned. he continued. ” The service for safer roads is intended to intervene in 30% of accidents caused by the road network and to reduce them significantly. presents Shabnam Khosravi.
” Thanks to vehicle data, we will use machine learning to capture the dangerous habits of drivers. We will air it in the territory to determine where the road network is the root of this dangerous driving. We will tell public authorities where to intervene to reduce these dangerous behaviors he describes.
The important thing is that it is a predictor whose effectiveness can be measured. ” Our service is predictive. To save human life, you have to be predictive. For public authorities, they can also measure with our service the impact on driving after road works are performed. No need to use specific fleets for several months he concludes.
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