SBB Improves Train Management with NVIDIA DGX-1
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208 дней – 27 9292:30Опубликовано 23 января 2019, 17:01
The Swiss Federal Railway (SBB) dispatches 10,671 trains every day, serving 1.26 million riders across 3,232 km of track. This task is getting increasingly complex as due to more trains, more passengers and more routes.
Adrian Egli from SBB discusses why they chose to run multi-agent reinforcement learning on NVIDIA’s DGX-1 to solve this challenge, whilst ensuring passenger safety and the timely arrivals and departures of trains. Thanks to the power of NVIDIA’s DGX-1, simulating the whole Swiss railway network now takes under 3 seconds.
Learn more: nvda.ws/2CJmqiv
Adrian Egli from SBB discusses why they chose to run multi-agent reinforcement learning on NVIDIA’s DGX-1 to solve this challenge, whilst ensuring passenger safety and the timely arrivals and departures of trains. Thanks to the power of NVIDIA’s DGX-1, simulating the whole Swiss railway network now takes under 3 seconds.
Learn more: nvda.ws/2CJmqiv
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