Artificial intelligence and road traffic
Abstract
The growth of the population in large cities and at the same time the growth of the car fleet causes traffic problems: congestion, violation of environmental standards. An intelligent transport system (ITS) using neural networks and artificial intelligence (AI) can reduce the load on the roads. The article contains ITS tools with examples of the results by them using in different megacities Singapore, London, Shanghai, Madrid and Moscow: machine learning and forecasting, smart traffic lights, loop sensors, computer vision, digital twins, AI integration, 5G and Big Data, satellite positioning technologies (GLONASS, GPS), mobile applications. The results are shown: ITS, DCS reduce traffic jams by 30-50%, improve safety and quality of life, technologies pay off in 2-3 years by reducing economic losses.
About the Authors
Tatiana M. Tkacheva
MADI
Russian Federation
Russian Federation
Candidate of Sciences (Physical and Mathematical), associate professor
Kirill S. Ostapenko
MADI
student
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Review
Рецензент: А.Ф. Смык, д-р физ.-мат. наук, проф., МАДИ
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