Journal of Korean Society of TransportationISSN:1229-1366(Print) 2234-4217(Online)대한교통학회

Typically, to evaluate the vehicle’s performance, the driving cycles are used. However, in the case of vehicles having a particular operating environment, there are difficulties assessing the performance when using the usual driving cycle. For instance, the courier vehicles have significant differences from the typical driving cycles, such as the maximum speed, the average speed, and the idle time ratio. Therefore, development of the driving cycle to estimate the performance of vehicles operating with a non-usual driving pattern is needed. For this purpose, this study conducts the driving cycle reflecting the actual driving characteristics. The DTG (Digital TachoGraph) data that the actual trajectory is used. It is collected from the commercial courier trucks with a load limit of 1 ton. Initially, authors divided the total trajectory into micro-trips, which is the data between stops (0km/h). Then the authors extracted the driving properties of each micro-trip. After that, the authors clustered the features and generate a driving cycle based on the clustering results. In result, a representative driving cycle is synthesized from the actual data with 2,254 seconds, 6.86km/h average speed, and 0.48 idle time ratio.