Japanese railway companies are turning to artificial intelligence to help tackle potential problems for their shinkansen bullet trains caused by the accumulation of snow.
The railway operator currently decides how many personnel it deploys for snow clearance a day beforehand, based on information from meteorological data providers and past experience, but it is often not very accurate.
AI will gather data from images of trains that have accumulated snow while traveling, study weather conditions and predict the number of personnel necessary for clearance work.
Test operations have proved positive so far and the system is set for full introduction next winter.
Other shinkansen operators are also tackling how to deal with wind-blown snow that accumulates on the undersurface of train cars.
The new system was introduced at
Sensors and cameras detect whether to spray water at a temperature of 60 C for three minutes onto the undersurface of the train cars to remove any clumps of snow that may have accumulated.
Such clumps can often fall onto the tracks and then ricochet off along with gravel, damaging train cars or nearby machinery.
The effectiveness of its uniquely deployed heaters, placed just by the wheels, is also being monitored.
==Kyodo
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