Vehicular Cloud

Considerable attention has been assigned to Vehicular Cloud towards identifying methods to utilize under-used, available computing and physical resources of vehicles effectively. Most work on vehicular cloud is so far on the taxonomy definition level, and the dynamically changing amount of available resources characterizes vehicular cloud as more cumbersome and complex than the traditional Clouds. In this paper, we define and analyze the expected number of vehicles in a roadway segment. These vehicles can serve as the building blocks for the vehicular cloud, enabling a tremendously large set of applications that benefit the whole traffic system. To contribute with the analysis, two types of traffic scenarios are considered in this work. We use a macroscopic traffic model to investigate the free-flow traffic, and we utilize the queuing theory to observe the queuing-up traffic. The average number of vehicles within a roadway segment is calculated using stochastic models. The results show the boundaries on enabling vehicular cloud, allowing to determine a range of parameters for simulating vehicular clouds.