An accurate technique of driving cycle development is important. Such a technique should be dominantly based on real-world driving behavior to ensure it represents the profile of the selected route. A driving cycle often is the combination of analyses of huge numbers of micro-trips under different conditions of traffic. This research is an initiative to improve the accuracy of the method of data collection; this contributes directly to one of the major procedures of driving cycle development, namely data collection. A driving cycle tracking device (DC-TRAD) is a device developed to improve the data collection strategy with integration of Internet-of-Things to manage the huge amount of data collected. A conceptual design of DC-TRAD is developed, and the flexibility of the device is made use in this research to compare and analyze the driving cycle of Kinta district.