Internet of Vehicles (IoV) refers to a large-scale distributed system that can be ascribed as the convergence of the mobile Internet and the internet of things (IoT). IoV represents an advanced evolution of vehicular communication networks, transitioning from the primary principles of Vehicular ad hoc Network (VANET) to a more comprehensive framework that supports dynamic interaction among vehicles, traffic management systems, and other elements of the environment. However, over the last two decades, many researchers and automakers have devoted their efforts on developing tools for the experiment, verification and validation of the smart IoV applications. This study introduces the Opportunistic Network Environment (ONE) simulator as a suitable tool to experiment IoV scenarios. In addition, we have argued that the modular structure of the ONE simulator opens a great landscape for the students/researchers who are interested in doing research on IoV. As the experiment of IoV technology is quite broad, we envision the ONE simulator as like ”Seeing the forest through the trees”, i.e., the ONE simulator could be a suitable tool for the experiment of IoV. Furthermore, we avow that ONE simulator supports the inclusion of Machine Learning (ML) as an application module and opens a great platform for the Big Data Analytics in the context of IoV.