Tehran driving cycle development using the k-means clustering method

This paper describes the development of a car driving cycle for the city of Tehran and its suburbs using a new approach based on driving data clustering. In this study, driving data gathering is performed under real traffic conditions using Advanced Vehicle Location (AVL) devices installed on private cars. The recorded driving data is then analyzed, based on “micro-trip” definition. Two driving features including “average speed” and “idle time...