Vehicle Data Generating Technique Considering Vehicles with Incrementally Changing States Based on Growth and Decline Functions

摘要

Vehicle-related engineers develop techniques for improving vehicle functions using vehicle data and test the performance of the devised techniques, where they need to secure vehicle data with various characteristics for more exact tests. However, it is actually hard to directly collect such vehicle data from the real world because of time and cost constraints. For this reason, we propose a method for generating vehicle data with various characteristics. Our approach can create vehicle data considering changes of vehicle attribute values such as increase or decrease in a linear form. Numerous types of vehicle data generated by the proposed method can be employed in a variety of data mining areas utilizing vehicle data such as clustering, monitoring, diagnosis, classification, and prognosis methods.