Autonomous traffic management is primarily at home in the areas of automation, artificial intelligence, and the Internet of Things (IoT). It describes the automated control and organisation of traffic flows without human intervention. Traffic data is collected in real time and analysed using intelligent systems.<\/p>\n
The aim of autonomous traffic management is to avoid traffic jams and accidents, reduce environmental pollution and make the transport of people or goods more efficient. Sensors on traffic lights, roads and vehicles constantly provide up-to-date information, which is evaluated by computers and translated into control commands.<\/p>\n
A simple example is a \u201esmart\u201c traffic light: it uses sensors or cameras to recognise how many cars are approaching a junction. The system automatically adjusts the traffic light phases so that there is as little waiting time as possible and traffic continues to flow smoothly. In the future, such autonomous systems will also increasingly work together with self-driving cars.<\/p>\n
For cities and businesses, autonomous traffic management offers the chance to solve traffic problems sustainably while saving costs. This creates real added value for all road users from innovative technology in everyday life.<\/p>","protected":false},"excerpt":{"rendered":"