RACING INTO THE DATA AGE: SENSOR INTELLIGENCE, ADVANCED ANALYTICS, AND KAFKA IN FORMULA 1 RACE CAR

Authors

  • Rohit Nimmala Data Engineer, Bank of America, USA Author
  • Jagrut Nimmala Data Engineer, Lowes Companies, Inc, USA. Author

Keywords:

Formula 1,, Sensor Technology,, Real-time Data Streaming, Apache Kafka, Advanced Analytics, Telemetry, Control Systems, Data Processing

Abstract

In the high-octane world of Formula 1, data has become as crucial as horsepower. "Racing into the Data Age: Harnessing Sensor Intelligence, Advanced Analytics, and Kafka's Real-Time Stream in Formula 1" probes into the pivotal role of advanced sensor technology, Kafka's real- time data streaming capabilities, and sophisticated analytics in shaping the strategies and successes of F1 teams. This white paper explores the intricate network of sensors generating over 1.5 billion data points per race weekend, Kafka's efficiency in streaming this data in milliseconds, and how analytical tools like Alteryx enable real-time insights for strategic decision-making. It aims to provide a wide-ranging understanding of the data dynamics driving modern Formula 1, revealing a digital revolution that complements the traditional roar of engines on the track.

References

"Data Analytics: Managing F1's Digital Gold" - Racecar Engineering.

"How Formula 1 Car Sensors Create Data at Every Turn" - Pure Storage Blog.

"Formula 1: How F1 Teams Use Telemetry, Control, and Analytics to Go Faster" - Cadence Community.

"How Data Works in Formula 1" - Racecar Engineering.

F1 Sensors labelling.

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Published

2024-03-21

How to Cite

RACING INTO THE DATA AGE: SENSOR INTELLIGENCE, ADVANCED ANALYTICS, AND KAFKA IN FORMULA 1 RACE CAR. (2024). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (IJAIML), 3(01), 69-74. https://mylib.in/index.php/IJAIML/article/view/IJAIML_03_01_006