- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
Intelligent transportation systems are designed to provide innovative applications and services relating to traffic management, as well as to facilitate the access to information for other systems and users. The compelling motivation for employing underutilized onboard resources for transportation systems and the advancements in management technology for Cloud computing resources has promoted the concept of Vehicular Clouds. This work gathers and describes the most recent approaches and solutions for Vehicular Clouds, featuring applications, services, and traffic models that can enable Vehicular Cloud in a more dynamic environment. We have considered a large number of applications and services that showed relevance in the scope of the transportation system, benefiting its management, drivers, passengers, and pedestrians. Nevertheless, the high traffic mobility imposes as a significant challenge in implementing a Vehicular Cloud on continually changing physical resources. The dynamics of the environment bring fundamental issues and increase the complexity of building this new type of Cloud. By analyzing the existing traffic models, we found that Vehicular Cloud computing is technologically feasible not just in the static environment, like a parking lot or garage where vehicles are stationary, but also the dynamic scenarios, such as highways or streets where vehicles move.
Vehicular Cloud has become a significant area of research due to the powerful onboard computing and sensing resources of the modern vehicles. These underutilized resources can be collected from all vehicles in the vicinity to build 1225 a Vehicular Cloud autonomously. The VCC is considered complementary to general Cloud computing and has more traffic-related services and applications such as public surveillance, traffic management, and environmental monitoring. In this work, we primarily presented the technical revolution of Vehicular Cloud computing based on an extensive review of the literature. Several works 1230 have been developed in the past, assisting the advancements from Vehicular Networks to Vehicular Clouds. This work also classified, listed, and discussed a series of services and applications which have been, or shared the features to be, implement in Vehicular Clouds. In the end, we provided a broad description and classification of the existing traffic models, which are essential for the VC 1235 implementation in the dynamic environment. At this stage, however, some areas related to VCC remain unexplored for researchers such as the high mobility, unstable communication links, task migration and the security issues in the implementation of VCC. From the existing research results, we could tell that VCC is still in its initial stage towards tech1240 nological maturity. However, we believe that VCC is expected to be a feasible solution for the highly intelligent traffic system.