Renault will launch new services thanks to connected cars. The arrival of the connected car should already make it possible to develop the after-sales activity of the car manufacturer by keeping vehicles in Renault’s system for longer. That’s what Lucas de Meo, CEO of the Renault group, is happy about on the stage of the Viva Tech show.
Security and comfort 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 note the presence on the Google stand of a Renault Mégane E-Tech and the built-in Google interface, with Google Maps, Google Assistant and Google Play.
Thanks to the connected vehicles, Renault will maintain a permanent relationship with its cars, even if the owner no longer has their vehicle serviced in the Renault network, and this is a unique opportunity for the car manufacturer. † One area where we normally make money in the auto industry is after sales. Usually people come out after the warranty period 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 permanently connected to the product, for the first time in the automotive industry, this means that technically the customer remains in the after-sales system for the entire life of the car. And every day he’s there, it’s our chance to make money he explains.
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 is launching three services for governments. Mobilize develops these data-based services. For these purposes, the brand aggregates, with the consent of the drivers, the data of both the connected cars and that of the infrastructure and partners. The first three services launched concern the installation of electric charging stations on the territory, the diagnostics of the road condition to optimize maintenance costs, and the protection of the roads against car accidents. The positioning of electric charging stations is calculated based on the needs of the user.
† This service is based on vehicle data. We analyze the behavior of drivers of electric vehicles describes Shabnam Khosravi, product manager at Mobilize. † We aggregate that data, we put artificial intelligence, machine learning, on top of that, over the infrastructure [NDLR : routière]† We can advise you on the best positioning of electric charging points she explains.
Prediction of road surface defects to be corrected as a priority
Another service offered concerns the optimization of road maintenance. † Mobilize’s offer is to help local authorities optimize road works by prioritizing and predicting which defects need to be resolved continues Shabnam Khosravi. † This service comes from the cross-analysis of vehicle data to detect road defects, and the image to analyze the defect, and finally artificial intelligence to predict the evolution of defects over time, by importance she says. † This will help optimize and reduce road maintenance budgets ” she says. ” This will reduce noise pollution and CO2 emissions, for more comfortable and safer roads. she adds.
More specifically, ‘Smart Road Monitoring’ is a road quality diagnostic service intended to ensure better management, both in terms of optimization and forecasting, of the renovation works to be carried out. This service is based on the combination of data and images from connected vehicles. Indeed, the service uses a sensor developed by Renault that detects defects in the road and a camera that associates an image with each of the defects identified by the sensor.
A categorization is used to prioritize the work to be performed and to estimate the associated budget. For municipalities, this translates into lower maintenance costs, but also noise pollution and CO2 emissions. † At the Data team, we love data and we love facts underlines Natalie André. † In France 2000 km of roads are seriously damaged and 40% of our speed bumps are not compliant. We spend 15 billion euros a year in France to maintain the roads she remembers.
Insufficient signage causes many accidents
Finally, the latter service aims to improve road safety. † 30% of the roads have defects. That is, inappropriate signage, and this causes many accidents. The parking garages are also poorly planned. she continues. † The Safer Roads Service aims to intervene and significantly reduce the 30% of accidents caused by the road network presents Shabnam Khosravi.
† Thanks to vehicle data, we will use machine learning to record dangerous driver behavior. 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.
Most importantly, it is a predictor whose effectiveness can be measured. † Our service is predictive. To save people’s lives, you have to be predictive. For the government, our service will also enable them to measure the impact on driving after road works have been completed. No need to hire specific fleets for several months she concludes.
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