Renault will market new services thanks to connected cars. Already now, the arrival of the connected car should make it possible to develop the car manufacturer’s after-sales activity by keeping vehicles longer in Renault’s system. That’s what Lucas de Meo, CEO of the Renault Group, is happy about on stage for the Viva Tech show.
Security and comfort services based on related data
At the same time, Mobilize, a Renault unit, is officially launching three services based on the use of data from connected vehicles and artificial intelligence at the Viva Tech trade show. These services offer to improve traffic safety, optimize road maintenance and predict the optimal location of charging stations for electric cars. We also note the presence on the Google stand of a Renault Mégane E-Tech and its built-in Google interface with Google Maps, Google Assistant and Google Play.
In detail, thanks to connected vehicles, Renault will maintain a permanent connection with its cars, even when the owner no longer has his vehicle serviced in the Renault network, and this is a unique option for the car manufacturer. ” One area where we usually make money in the automotive industry is after-sales. Usually, after the warranty period, people come out of it and choose an independent operator because it is cheaper or for convenience remembers Lucas de Meo.
The connected vehicle is a game-changer. ” With a connected car, and the company is permanently connected to the product, for the first time in the car industry, this means that the customer technically remains in the after-sales system for the life of the car. And every day he is there, it is our opportunity to make money he declares.
Renault uses data and artificial intelligence
At Viva Tech, Renault also presented three services that it will market based on data from connected vehicles. “ Mobilize uses data and artificial intelligence to better serve its customers announces Nathalie André, director of data business and new services at Mobilize, a commercial entity of Renault.
Mobilize launches three services to public authorities. Mobilize develops these database services. For these purposes, the mark collects, with the consent of the drivers, data from the connected cars as well as data from the infrastructure and the partners. The first three services launched relate to the location of electric charging stations in the area, diagnosing the condition of the roads to optimize maintenance costs and securing the roads in relation to car accidents. The location of electric charging stations will be calculated based on the needs of the users.
” This service is based on data coming from vehicles. We analyze the behavior of electric drivers describes Shabnam Khosravi, Product Manager at Mobilize. ” We collect this data, we put artificial intelligence, machine learning on top of it, and overlay the infrastructure [NDLR : routière]. We can advise on the best location of electric charging points she explains.
Prediction of coating defects to be corrected as a priority
Another service offered relates to optimizing road maintenance. ” Mobilize’s offer is to help local authorities optimize road work by prioritizing and predicting the shortcomings that need to be addressed. continues Shabnam Khosravi. ” This service comes from cross-analysis of vehicle data to detect road defects and the image to analyze the defect and finally artificial intelligence to predict the development of defects over time, by importance she says. ” This will help optimize and reduce road maintenance budgets ” she says. ” This will reduce noise pollution, CO2 emissions pollution, for more comfortable and safer roads. she adds.
More specifically, Smart Road Monitoring is a road quality diagnostic service to ensure better management, both in terms of optimization and prediction, of the renovation work to be carried out. This service is based on the combination of data and images from connected vehicles. The service uses a sensor developed by Renault, which detects faults on the road, and a camera, which connects an image with each of the faults that the sensor identifies.
A categorization is used to prioritize the work to be performed and to estimate the associated budget. For local communities, this means lower maintenance costs, but also noise pollution and CO2 emissions. ” On the Data team, we love data, and we love facts emphasizes Nathalie André. “ In France, 2000 km of roads are severely damaged and 40% of our speed bumps do not meet the requirements. We spend 15 billion euros in France a year on road maintenance she remembers.
Inadequate signage causes many accidents
Finally, the latest service aims to improve road safety. ” 30% of roads are faulty. That is, inappropriate signage and it causes many accidents. In addition, the parking spaces are poorly planned. she continues. ” The service for safer roads aims to address the 30% of accidents caused by the road network and reduce them significantly presents Shabnam Khosravi.
” Thanks to vehicle data, we will use machine learning to capture the dangerous behaviors of drivers. We will project this on the territory to determine where the road network is the cause of this dangerous driving. We will tell the public authorities where to intervene to reduce this dangerous behavior she describes.
The important thing is that it is a predictor whose effectiveness can be measured. ” Our service is predictive. To save human lives, you need to be predictable. For the public authorities, they will also be able to measure the impact on the road with our service after carrying out the road work. There is no need to hire specific fleets for several months she concludes.
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