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Travel start-up innovates algorithm to predict train arrival time

New Delhi, April 12: Annoyed of train delays and iccurate predicted time of arrival? RailYatri, a travel start-up, has suggested a technique to predict Estimated Time of Arrival (ETA) using machine learning with precision based on the data. According to RailYatri.in, train travellers in India have accepted delays as part of their train journeys. “But their frustration arises from the ibility of the existing systems to correctly guide them on the ETA of trains,” the start-up said in a release. It also said that the delays and iccurate prediction leave many commuters stranded at platforms endlessly. “RailYatri has innovated a unique ETA prediction algorithm using machine learning and statistical modelling techniques to predict the arrival time of running trains at their upcoming stoppage with much better precision,” it said. It said that the algorithm has been trained to alyse historical data of train runs spread over many years and predict the future outcome. The start-up claimed that “its prediction is nearly 110 per cent better than the existing way of estimating train travel time.”
RailYatri Co-founder Kapil Raizada said, “The existing method to predict the ETA of trains in India have not changed over decades and is typically based on the distance divided by the speed of the train added with some buffer time for safety formula.” (IANS)

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Ankur Kalita