The National Academy of Sciences of Belarus has developed a neural network that makes a schedule for public transport

The United Institute of Informatics Problems of the National Academy of Sciences of Belarus has developed a neural network that makes a schedule for public transport, taking into account dozens of parameters. These include passenger traffic, traffic congestion, weather conditions, and even the time of day. The algorithm analyzes the data in real time and suggests an optimal timetable. For the passenger, this means predictability: the bus arrives on time, and the intervals are stable.