Shipping more goods and passengers via rail is imperative if we want reduce CO2 emissions and make the modal shift happen. To achieve that mainline rail has to better prevent accidents, reduce delays and improve operational parameters like energy and capacity usage.
Rail vehicles operate in the open or complex environments. Cars, buses, motorcycles, pedestrians, cyclists, traffic lights. A driver can only see and react to so many things, increasing the risk of accidents
Our solutions provide drivers with an extra set of eyes. We easily detect multiple objects and how they are moving. Either through signals or automatic braking we can help the locomotive driver make quicker and better informed decisions.
Delays can happen because of a multitude of reasons: traffic congestion, accidents, weather conditions, signaling failures and more.
Our solutions reduces delays by giving drivers better visibility to more easily detect obstructions, and to give them the ability to drive through any weather conditions, further decreasing delays.
More and more mainline rail faces limitations in increasing capacity due to some specific bottlenecks across the network, such as congested axis, high-demand freight corridors, and single-track sections. OTIV addresses these challenges by introducing remote control and full autonomous driving systems, allowing infrastructure managers and rail undertakings to increase capacity on the existing rail infrastructure and ensure a modal shift to rail.
