Pattern Computer Discovers New and Novel Methods for Reducing Flight Delays

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In the post pandemic age, airline companies, airports, and regulators have a unique chance to alter operations, and offerings to at the same time decrease flight hold-ups, and enhance traveler fulfillment

REDMOND, Wash. — Pattern Computer System,® Inc. (PCI) is delighted to reveal the discovery of brand-new insights that can cause substantial decreases in the flights hold-ups experienced throughout the United States.

According to the Federal Air Travel Association (FAA)/Nextor, the projected yearly expenses of hold-ups, that includes direct expenses to airline companies and travelers, lost need and indirect expenses, in 2018 was $28 billion. Based upon the Bureau of Transport analytical information, 34% of all flights in 2018 experienced some kind of departure hold-up and 18% of all flights experienced hold-ups of 15 minutes or more, with a typical hold-up of 66 minutes. The direct expenses of those hold-ups to airline companies and travelers was $4.5 billion.

PCI’s group put together an unique, integrated dataset which incorporated the FAA flight, airplane and functional network information, and pertinent United States nationwide weather condition information for the 7.2 million United States business traveler flights in 2018.

Using the Pattern Discovery Engine®, the PCI group had the ability to reveal a variety of patterns underlying United States business traveler flight hold-ups. While numerous previous methods concentrated on arrival hold-ups, the PCI group picked to concentrate on flight departure hold-ups as it more properly shows the functional effectiveness of the specific airline companies, along with the airline companies’ functional collaboration with the FAA air traffic control service centers.


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The most substantial pattern, which was shown as the leading motorist of hold-ups in 11 of the 12 months, were flight departure hold-ups due to weather aspects along the path of travel, integrated with the set up departure time (blockage). Together these 2 aspects were the most constant throughout the whole of 2018. The flight leg for that day likewise played into this pattern in 10 of the 12 months also – showing that the cascading result of flight hold-ups continued to effect flights later on in the day.

“When we used the Pattern Discovery Engine to understand the factors behind flight departure delays, we saw delays initiated by the FAA’s Traffic Management Initiatives due to en route weather as having created the most significant delays over the course of the year. The second most significant pattern was due to icing conditions at the departure airport, which also has cascading effects through the day for the impacted aircraft. A differentiating factor for Pattern Computer is that we do not see just one pattern; we see all the interrelated patterns in the dataset regarding a specific outcome in ranked order,” stated Mark R. Anderson, CEO of Pattern Computer System.

The recently found patterns show that a lot of flight hold-ups through the year were the outcomes of substantial weather condition occasions having local restricting results on the readily available flight paths. These big local storms are usually anticipated by the NOAA/FAA a minimum of 48-72 hours beforehand, airline companies cancel flights ahead of the worst storms to prevent the high expenses of long-postponed flights, consisting of staffing expenses, discontented travelers, and teams cancelled due to duty-time expiration and needed pause. While canceling flights is one alternative in lowering the expenses of flight hold-ups, the unfavorable effect to client fulfillment is high, and there is substantial interruption to the airline companies’ cautious scheduling of teams, devices and supporting personnel. Frequently the case is to continue with the prepared schedule and let the FAA identify the number of aircrafts are affected as the weather condition occasion takes place. In numerous elements, this is the exact same operating technique as has actually been in result for the previous 4 years.

“Due to the pandemic, the travel industry is facing a challenging period of uncertainty, but with that is the opportunity to improve operations, pricing, and offerings in a way that is future-ready. There is an opportunity to develop services tailored for the life styles, needs, and interests of business and leisure passengers alike. Post-pandemic, people are expecting a ‘new normal’ to emerge with many of the known patterns of life being different. Now is the time to introduce new capabilities, preparing for a post-pandemic swell in leisure travelers wishing to get out and travel,” stated Bob Edwards, previous CIO for United Airlines.


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Without modifications, the airline companies will continue to bear significant direct and indirect expenses due to flight departure hold-ups. However notified by these brand-new Pattern discoveries, leading airline companies might utilize innovation, information and analytics integrated with dexterity to produce brand-new options in the type of versatile scheduling, routing, prices, and product packaging to prevent these expenses, which will just increase as the traveler loads start to recuperate to their brand-new regular, which might go beyond the historic standards.

This work by Pattern Computer could allow informed, flexible scheduling. Dynamic load levels could be shifted and adjusted to the changing conditions, optimizing for costs, better utilizing available resources and resulting in more reliable schedules. Pattern is continually innovating and looking for ways to improve and optimize complex challenges in multiple industries, including the global airline industry, where brand-new partnerships are now being sought.

The foregoing contains statements about the Pattern Computer’s future that are not statements of historical fact. These statements are “forward looking statements” for purposes of applicable securities laws, and are based on current information and/or management’s good faith belief as to future events. The words “believe,” “expect,” “anticipate,” “project,” “should,” “could,” “will,” and similar expressions signify forward-looking statements. Forward-looking statements should not be read as a guarantee of future performance. By their nature, forward-looking statements involve inherent risk and uncertainties, which change over time, and actual performance might differ materially from that anticipated by any forward-looking statements. Pattern Computer undertakes no obligation to update or revise any forward-looking statement.

About Pattern Computer

Pattern Computer, Inc., a Seattle-area startup, uses its proprietary Pattern Discovery Engine to solve the most important and most intractable problems in business and medicine. Its proprietary mathematical techniques can find complex patterns in very-high-order information that have eluded detection by much larger systems.

While the company is currently applying its computational platform to air traffic operations, it is also making pattern discoveries for partners in several other sectors, including drug discovery and biomedical research, materials science, aerospace manufacturing, veterinary medicine, and finance.

For more information on Pattern Computer Inc., visit:
For more information about Mark Anderson, visit:

Copyright © 2021 Pattern Computer, Inc. All Rights Reserved. Pattern Computer Inc., and PCI are trademarks of Pattern Computer, Inc. or its subsidiaries. Other trademarks might be trademarks of their respective owners.

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Denyse Hudson




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Jobber Wiki author Frank Long contributed to this report.