[SECURITY] Algorithms reducing traffic jams

The use of big data in transport contributes significantly to the optimization of costs in this branch of the
economy. For example, airlines use big data to adjust flight paths and reduce fuel consumption. In some
cases, changing the flight path by just a few degrees can save millions of litres of fuel per year. Not only
does it save money, but it also reduces carbon dioxide emissions. It is similar when it comes to water
transport. The Danish shipping company Maersk, for example, also uses big data to optimize the speed and select routes for its ships, which leads to a reduction in carbon dioxide emissions by five million tons
per year! This is equivalent to taking one million cars off the street for a year.

Traffic management in the world’s major cities relies heavily on big data algorithms, reducing rush hours
and traffic congestion, as well as increasing safety levels. Los Angeles and Toronto, for example, use this
type of total traffic analysis and optimize the duration of light signals on traffic lights in real-time, which
significantly shortens the journey and reduces the number of traffic accidents.