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AIRPORT EFFICIENCY April 2016 airportbusiness 25 an IBM Business, make this possible by lever- aging big data analytics and machine learn- ing methods to predict airport operational conditions up to 12 hours out from current time — up to five times sooner than previ- ously possible. Today, when airlines make your airport the hub of their operations, a delay at your facility can have ripple effects through the carrier's entire network and cause displacement of aircraft, passengers and crews. Let's start by looking at three common air- port operational metrics; airport congestion, runway configuration and taxi times. • CONGESTION — Airport congestion is a leading cause of en route and ground delays, especially when it is unanticipated. Airport congestion predictions provide early insight into future congestion, empowering decision makers to take action to reduce the impact on operations. • RUNWAY CONFIGURATION — Airport runway configuration prediction provides decision makers with early insight into run- way layouts and timing of runway configura- tion changes, which can aid flight route plan- ning for reduced fuel burn and flight time. • TAXI TIME — Airport taxi time predic- tion offers future taxi in and taxi out time at airports for specific airlines. Fuel planning and ramp resource management can benefit greatly from such insights. Predictions of these metrics provide action- able insights for airlines to integrate into exist- ing operational processes to optimize fuel loads and route selections, mitigate delay propaga - tion and prevent potential crew timeout due to congestion. Simply knowing about anticipated delay events further in advance can diminish their impact and, in some cases, make them totally avoidable. When you couple weather forecasts with demand capacity prediction and flight arrival and departure data, patterns emerge. Using data science to systematically decipher such patterns leads to reliable prediction of critical airport events so that airports and air- lines can, consistently, utilize such insights to proactively manage delay events and mitigate potential impact. DATA SCIENCE IS THE MAGIC BEHIND PREDICTIVE ANALYTICS To predict airport operational conditions, Buy American Compliant. ©2016 ADB Airfield Solutions Bikes shmikes. Joey had a plane to land. Joey was never a time waster or a risk taker. Thirty-four years later, he still isn't. As an ADB Airfield Solutions service engineer, Joey brings that same unwavering focus to the problem solving, training and in-the-field repair work he does at your airport. He aims for 100% lights on, 100% of the time. Have a complicated tech issue? Freak lightning strike leave you with a circuit down? Joey's on it because he understands the commitment it takes to land a plane safely. (Incidentally, he enjoys cycling now, but only once his work is done.) Safe, reliable airfield lighting. It's who we've always been. Visit www.adb-air.com to learn more. www.aviationpros.com/10132415 A two-hour delay at 8 a.m. will propagate an eight-hour of flight delay throughout the day.