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Virgin Galactic delays space tourism flights to early 2022


Virgin Galactic's hopes for space tourism in 2021 were looking dim after a motor ignition failure in December 2020 pushed back its test flight schedule, and now the company is ditching any hopes of meeting that target. Parabolic Arc reports that Virgin used its latest earnings to delay space tourism flights to 2022. During a call, company CEO Michael Colglazier said the next rocket-powered test flight now wouldn't occur until May, roughly half a year after the original attempt -- tourist trips just weren't going to happen in 2021 with the updated timetable. The chief executive expected subsequent test flights to take place in the summer, including one with four people in the cabin as well as Sir Richard Branson's long-expected ride. A "revenue generating" flight with Italian Air Force pilots should take place in the summer or fall.

Propagation of Delays in the National Airspace System Artificial Intelligence

The National Airspace System (NAS) is a large and complex system with thousands of interrelated components: administration, control centers, airports, airlines, aircraft, passengers, etc. The complexity of the NAS creates many difficulties in management and control. One of the most pressing problems is flight delay. Delay creates high cost to airlines, complaints from passengers, and difficulties for airport operations. As demand on the system increases, the delay problem becomes more and more prominent. For this reason, it is essential for the Federal Aviation Administration to understand the causes of delay and to find ways to reduce delay. Major contributing factors to delay are congestion at the origin airport, weather, increasing demand, and air traffic management (ATM) decisions such as the Ground Delay Programs (GDP). Delay is an inherently stochastic phenomenon. Even if all known causal factors could be accounted for, macro-level national airspace system (NAS) delays could not be predicted with certainty from micro-level aircraft information. This paper presents a stochastic model that uses Bayesian Networks (BNs) to model the relationships among different components of aircraft delay and the causal factors that affect delays. A case study on delays of departure flights from Chicago O'Hare international airport (ORD) to Hartsfield-Jackson Atlanta International Airport (ATL) reveals how local and system level environmental and human-caused factors combine to affect components of delay, and how these components contribute to the final arrival delay at the destination airport.

Virgin Galactic delays its next rocket-powered test flight


You'll have to wait a while longer for Virgin Galactic to resume rocket-powered test flights. As CNBC reports, Virgin has delayed the SpaceShipTwo test flight after determining that it needed extra time for "technical checks" while conducting pre-flight work. The space tourism company didn't say when it might try again, although it previously said it could try later in February if a hoped-for launch on the 13th wasn't viable. This was supposed to be Virgin's re-do of a December flight that ended with a rocket motor failure. The firm believed it had a solution and was to use this weekend's test to verify the fix.

A Data Mining Approach to Flight Arrival Delay Prediction for American Airlines Machine Learning

In the present scenario of domestic flights in USA, there have been numerous instances of flight delays and cancellations. In the United States, the American Airlines, Inc. have been one of the most entrusted and the world's largest airline in terms of number of destinations served. But when it comes to domestic flights, AA has not lived up to the expectations in terms of punctuality or on-time performance. Flight Delays also result in airline companies operating commercial flights to incur huge losses. So, they are trying their best to prevent or avoid Flight Delays and Cancellations by taking certain measures. This study aims at analyzing flight information of US domestic flights operated by American Airlines, covering top 5 busiest airports of US and predicting possible arrival delay of the flight using Data Mining and Machine Learning Approaches. The Gradient Boosting Classifier Model is deployed by training and hyper-parameter tuning it, achieving a maximum accuracy of 85.73%. Such an Intelligent System is very essential in foretelling flights'on-time performance.

Company Delays Planned Huntsville-To-Orlando Flights

U.S. News

The company plans to use European ATR-600 turboprop aircraft, which haven't been used for commercial flights in the United States previously. Spokeswoman Misty Stoller says it's taking longer than expected to get federal approval for the airplanes.