Friday, 16 April 2021 07:49

AWS adds to Formula 1 stats


AWS is adding six new items to the array of statistics it generates for Formula 1 spectators.

The first of the new statistics – braking performance – will be introduced at the Italian Grand Prix this weekend.

It shows how close drivers get to the apex of a corner before braking, top speed on approach, speed decrease through braking, the braking power, and the maximum G-force exerted.

The other five new statistics will debut at races during the season.

Car exploitation reveals data relating to tyre traction, braking, acceleration, and manoeuvring , showing the current performance relative to a theoretical limit. This will be available at the Canadian Grand Prix.

Energy usage (appearing at the British Grand Prix) reveals energy flow through each component of the power unit, and shows how much battery energy is left.

Start snalysis displays which driver was the quickest on the pedal at the starting grid, and helps explain why others struggled to get away. This statistic will debut at September's Italian Grand Prix.

Pitlane performance goes deeper than the duration of pit stops, revealing how the driver and team perform during each step of a pit stop and highlighting time lost or gained through the team's efficiency – or lack of it. The first outing for this statistic will be the Japanese Grand Prix.

Undercut threat predicts cars likely to be overtaken if the pursuing driver makes a pit stop for fresh tyres in the hope that the resulting improvement in lap time will but them ahead once the car in front makes its next pit stop. This statistic will make its debut at November's Australian Grand Prix.

Data for these statistics comes from more than 300 sensors on each car, generating more than 1.1 million data points a second. It is processed with the Amazon Kinesis service for real-time data collection, processing, and analysis, with historical data retrieved from S3.

Apart from the entertainment value, F1 engineers and scientists will use this data to in conjunction with Amazon SageMaker machine learning models deployed using the AWS Lambda serverless compute service.

"F1 Insights Powered by AWS give fans an insider's view of how car, driver, and team function together so that they can better appreciate the action on the track," said Formula 1 chief engineer Rob Smedley.

"With this new set of racing statistics for 2021, we are going deeper than ever before. New Insights like Braking Performance and Undercut Threat peel back additional layers of race strategies and performance and use advanced visualisations to make the sport of racing even more understandable and exciting. Race car technology improves all the time, and thanks to AWS, our fans can appreciate how that technology impacts race outcomes."

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Stephen Withers

Stephen Withers is one of Australia¹s most experienced IT journalists, having begun his career in the days of 8-bit 'microcomputers'. He covers the gamut from gadgets to enterprise systems. In previous lives he has been an academic, a systems programmer, an IT support manager, and an online services manager. Stephen holds an honours degree in Management Sciences and a PhD in Industrial and Business Studies.

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