This Car is Mine!: Driver Pattern Dataset extracted from CAN-bus

We propose a driver pattern dataset consists of 51 features extracted from CAN (Controller Area Network) of Hyundai YF Sonata while four drivers drove city roads of Seoul, Republic of Korea. Under the belief that different driving patterns implicitly exist at CAN data, we collected CAN diagnosis data from four drivers in pursuit of research on driver identification, driver profiling, and abnormal driving behavior detection. Four drivers are named A, B, C, and D. The driver A performed eight trips, the driver B performed eight trips, the driver C performed five trips, and the driver D performed nine trips. We collected 51 features from CAN utilizing On-Board Diagnostic 2 (OBD-II) and CarbigsP as a scanning tool to extract features. Every feature is recorded by 1 second along with the trip. Note that the time consumed by each trip is all different as the traffic environment were all different during the data collection. In our research work 'This Car is Mine!: Automobile Theft Countermeasure Leveraging Driver Identification with Generative Adversarial Networks', we showed the dataset could be fully utilized to analyze the unique characteristics of each driver. We expect this driver pattern dataset to be a concrete baseline dataset for future studies on novel driving pattern recognition approaches.