Abstract
Conference Title: 2018 International IEEE Conference and workshop in Óbuda on Electrical and Power Engineering (CANDO-EPE) Conference Start Date: 2018, Nov. 20 Conference End Date: 2018, Nov. 21 Conference Location: Budapest, Hungary This paper deals with the processing of vehicle data in a stream using machine learning. In modern vehicles, a significant amount of sensor data are generated, which are only used temporarily before being discarded. The toolchain presented here aims to historize the data and evaluate it in near real time. Stream machine learning is used to process the data. Requirements for the toolchain are the platformindependent use of these and the free provision of the tools used. The result is a complete and innovative toolchain that maps everything required. From the reading of data on the vehicle to the use of stream machine learning and the evaluation of the data. An illustrative use case is presented and an outlook on extensions of the toolchain is given.