RailVision's AI-enabled software helps make small adjustments in train driving that could lead to big savings in diesel fuel. Find out more.
To solve those puzzles, RailVision collects data from rail operations to simulate train dynamics and uses an algorithm to determine the most fuel-efficient driving pattern. While the AI solution is still in its infancy, Jain said it has helped Metrolinx, a government agency that serves millions of riders in the province of Ontario, save more than 1.5 million litres of diesel fuel during a one-year experiment. RailVision also counts Via Rail Canada Inc.
Diesel, though, is a particularly dirty fuel. Unlike Europe and Asia, where electrification has made headways in passenger rail service, most long-haul trains in the United States and Canada rely on diesel fuel — a status that is unlikely to change any time soon, according to Bruno Idini, a transport analyst with the IEA.
“It was the first time that we have seen an innovation that was easily installed and applicable to our reality,” said Francoise Granda Desjardins, a senior adviser of sustainability at Via Rail, which has been testing RailVision’s AI solution since 2021. The company has since tested the technology on passenger trains running between Toronto and Ottawa. While Via Rail has yet to finalize the findings, “it has been a positive experience so far,” Desjardins said.Article content
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