Mantis is a cloud-based intelligent traffic solution built around a unique algorithm which forecasts traffic evolution saving costs and reducing emissions
Anyone who has ever been stuck in a traffic jam knows the frustration of sitting still in a car on the road and waiting. For road users in metropolitan areas of Germany, France, UK and USA, according to a European study conducted in 2014, this happens on average 36 hours every year. Traffic congestion costs society billions of dollars every year in the form of fuel costs, lost productivity and impact on the environment and public health. In Europe alone, the annual price tag for congestions is €200 billion, which is approximately 2% of total GDP. The Cebr estimates that, every year, vehicle idling releases 15,434 kilotons of CO2 equivalent into the atmosphere across the UK, France, Germany and the US alone. Navigation systems (Google Maps, Waze, TomTom and others) reroute users after congestion is formed, observed and reported. By then, the information cannot meaningfully impact the gridlock. Their rerouting efforts, on the other hand, cause additional congestion on the suggested alternative routes. Mantis is a cloud-based Intelligent Traffic Solution built around a unique algorithm which forecasts traffic evolution using scalable parallelization. Analysing historical and real-time data, the Mantis application predicts future traffic congestion 30 minutes before they even happen. The algorithm relies on stochastic processes which, among other things, are responsible for modelling chaotic systems such as the stock market and the weather. Mantis is poised to disrupt the automotive navigation system market estimated to be valued at €22.6 billion in 2025.