ty, thus allowing vehicles to coordinate their courses and/or maneuvers. In addition, each vehicle shares its driving plan with vehicles in proximity. The advantage of this feature is safer driving, collision avoidance, and improved traffic efficiency. Extended sensors enable the exchange of raw or processed data gathered through local sensors or live video data among vehicles, road site units, UEs of pedestrians, and V2X application servers. The vehicles can enhance the percep- tion of their environment beyond what their own sensors can detect and have a more holistic view of the local conditions. Remote driving enables a remote driver or a V2X application to operate a remote vehicle for those passengers who cannot drive them- selves or a remote vehicle located in dangerous environments. For a case where varia- tion is limited and routes are predictable, such as public transportation, driving based on cloud computing can be used. Intelligent transport systems (ITS) embrace a wide range of applications that are intended to increase travel safety, minimize environmental impact, improve traffic man- agement, and maximize the benefits of transportation to both commercial users and the general public. Over the years, the emphasis on intelligent vehicle research has turned into cooperative systems in which the traffic participants (vehicles, bicycles, pedes- trians, etc.) communicate with each other and/or with the infrastructure. In this context, a cooperative ITS scheme is a technology that allows vehicles to be wirelessly con- nected to each other, to the infrastructure and other parts of the transport network. In addition to what drivers can immediately see around them, and what vehicle sensors can detect, all parts of the transport system will increasingly be able to share informa- tion to improve decision-making in the system. Thus this technology can improve road safety through avoiding collisions and further can assist the transportation network by reducing congestion and improving traffic flows. Once the basi