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.
Mainline rail is a complex and dynamic environment where trains interact with cars, buses, motorcycles, pedestrians, and cyclists. Locomotive drivers can only see and react to so many things, increasing the risk of accidents. Our advanced perception technology fills this critical gap.
By providing drivers with an intelligent system that detects multiple objects and predicts their movements, we enhance situational awareness. Whether through early warnings or automatic braking assistance, our solutions empower train operators to make faster, more informed decisions—reducing risks and preventing accidents before they happen.
Many things can impact rail such as traffic congestion, accidents, weather conditions, signalling failures among other things. Any of these reasons could cause major network disruptions.
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.
