Artificial intelligence in the transport sector as a means to improve security

Abstract

The article considers current issues related to the use of artificial intelligence in road transport in order to improve transport safety and great potential in solving them. The process of training neural networks is reflected, which consists of preparing an array of information, creating a new or adapting the current architecture of the neural network, selecting optimal parameters for machine learning. Seven ways to use artificial intelligence to improve safety in road transport are presented: forecasting the likelihood of equipment failure, monitoring rolling stock, improving adaptive driver assistance systems to prevent collisions, predictive analytics systems to detect threats before they occur, tracking driver fatigue, countering vehicle theft, and optimizing driving. Safety functions using artificial intelligence are considered.