In Japan they want to create a huge network of connected cars, something that will not only be much more sustainable, but is also designed to reduce traffic congestion. traffic in places as crowded as Tokyo.
Specifically, it is the companies Nippon Telegraph and Telephone Corporation (NTT), which have launched this data initiative connected cars, to fight traffic congestion and deal with CO2 emissions. This initiative was developed by the subsidiary company called NTT Data, which is a global IT and digital service provider headquartered in Japan.
Thanks to this technology, the ability to monitor and analyze data from millions of automobiles connected to the Internet, in a technology that could be ready by the end of the year.
This data processing system comes with the ability to analyze real-time data from a large source in order to retrieve only the necessary and relevant information for drivers on the road.
At the moment, this technology is capable of handling data of more than 30 million cars connected.
This is how this new technology works
The technology It allows you to configure information, specific locations and hours of the day to classify the data obtained from these millions of connected cars.
For example, when the system receives a notification of a road obstacle from one of the cameras in a connected car, the technology can quickly warn following vehicles to avoid the obstacle.
Although there are already similar applications on the market, they take about 20 seconds to process the information, while this technology reduces that time to just 5 seconds, more than enough to be able to predict traffic congestion.
To test this technology, NTT Data is working on developing a system that uses data from connected cars owned by Toyota Motor Corporation in a parking lot in Tokyo.
This is intended to validate the processing and analysis of past driving data and real-time driving data.
Then, the results of this exercise are going to be updated online to verify if the system can contribute to the dispersion of the traffic flow and the optimization of the movement of customers during congestion.