Project Description
The project aims to develop an automated statistical analysis of driving behavior regarding assistance systems and errors. Sensor data from different bus systems are combined with user-generated data and unified on a big data platform. This platform detects common patterns for further analysis or automated reactions within the platform.
Technologies
Scala, Python, Apache Spark, AWS, SparkML, Databricks
Timeframe
03/2019 - 12/2023