(ORDO NEWS) — The road systems of modern cities are an avalanche of data coming from cameras and sensors.
However, many highways or pedestrian crossings are still very inconvenient. A new project launched in Melbourne, Australia aims to use the tangle of data to create a more user-friendly road network.
Every year, the possibilities of artificial intelligence are only growing. Why not use them for the benefit of road safety?
The Intelligent Corridor is a three-year experiment that will take place on a 2.5km section of Nicholson Street, one of Melbourne’s busiest roads.
As part of the project, artificial intelligence and machine learning systems will process data from a huge network of sensors, including CCTV camera feeds, Bluetooth sensors, air quality monitors, real time public transport information, traffic data, weather data, traffic signals and phases. , logistic data from intersections and much more. And all this in real time!
The project team notes that historical data will also be loaded into the system, which will allow the program to “predict” the development of situations on the roads.
What does this mean for drivers?
As the creators of the project note, the system was not created for simple information, it will fully control the roads. For example, after analyzing the data, she will be able to switch traffic signals to optimize traffic.
Representatives of Intelligent Corridor note that the system will “dynamically adjust and optimize not only one intersection, but immediately the system of” corridors “.
The city authorities, who supported the project financially, report that the system will not only help drivers and pedestrians, but also the city: it will reduce noise and emissions (however, they do not indicate exactly how this will be done. Most likely it is a “simple” large trucks at city traffic lights).
The system also has an online feedback form that can help passengers get to their destination faster in the event of an accident or breakdown of public transport. The program will adjust the operation of lanes so that other buses or trams can pick up passengers faster.
There is also a security aspect – the system can control pedestrian crossing areas. Interestingly, some car models (the list will expand in the future) will be able to receive warnings about busy pedestrian crossings that are hard to see.
Despite the fact that the system has many functions and capabilities, it can become a “familiar reality” only in years.
For full fledged work, it needs not only data and a developed road infrastructure, but also connected drivers and pedestrians. People will have to change their habits, and this, as always, takes a very long time.
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