ET Aviation Brain is capable of knowing aircraft models, schedules, parking locations, runways, and taxiways, and build an integrated mathematical model to optimise the overall operating efficiency

Alibaba Cloud has announced the official launch of its new Artificial Intelligence (AI) solution ET Aviation Brain, which aims to help reduce flight delays at airports.

China’s largest airport Beijing Capital International Airport (BCIA) has become the first adopter of the ET Aviation Brain.

ET Aviation Brain, launched at the Beijing  Computing Conference today, will help reduce flight delays by refreshing the aircraft parking apron utilisation at BCIA within 50 seconds, claims the company. This is in comparison with the two to three hours of time required when doing manually.

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According to Alibaba Cloud, ET Aviation Brain will also increase the utilisation of bridged aprons by 10 per cent, saving 20,000 passengers a total of 5,000 hours every day by reducing the need to ride shuttles between aircraft and BCIA’s terminals.

With 300 aircraft parking spaces, BCIA schedules 1,700 flights each day, or an average of two landings every minute. Delays are sometimes inevitable, especially during adverse weather.

Alibaba says that ET Aviation Brain is capable of learning basic aviation knowledge, including aircraft models, take-off and landing schedules, and the locations of the parking positions, runways and taxiways, as well as shuttle bus numbers and capacity. It can then build an integrated mathematical model based on these statistics to optimise the overall operating efficiency of BCIA.

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ET Brain is Alibaba Cloud’s proprietary AI programme that aims to help different verticals to tackle real-world challenges and unleash their development potential. Today, Alibaba Cloud’s ET City Brain, ET Industrial Brain, ET Medical Brain, ET Environment Brain and ET Aviation Brain offer an array of services to its clients in enterprise, city administration and other professions.

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