The advances in cloud computing and internet of things (IoT) have provided a promising opportunity to further address the increasing transportation issues, such as heavy traffic, congestion, and vehicle safety. In the past few years, researchers have proposed a few models that use cloud computing for implementing intelligent transportation systems (ITSs). For example, a new vehicular cloud architecture called ITS-Cloud was proposed to improve vehicle-to-vehicle communication and road safety A cloud-based urban traffic control system was proposed to optimize traffic control.
We present a novel multilayered vehicular data cloud platform by using cloud computing and IoT technologies. Two innovative vehicular data cloud services, an intelligent parking cloud service and a vehicular data mining cloud service, for vehicle warranty analysis in the IoT environment are also presented. Two modified data mining models for the vehicular data mining cloud service, a Naïve Bayes model and a Logistic Regression model, are presented in detail. Challenges and directions for future work are also provided.
Based on a service-oriented architecture (SOA), this system uses a number of software services (SaaS), such as intersection control services, area management service, cloud service discovery service, and sensor service, to perform different tasks. These services also interact with each other to exchange information and provide a solid basis for building a collaborative traffic control and processing system in a distributed cloud environment. Developing Vehicular Data Cloud Services in the IoT Environment
Existing method an MANET cloud computing based urban traffic control systems are to increase road throughput and optimise the traffic control for increased safety of the participants, reduced fuel consumption and carbon emissions. The urban vehicle control scenario assumes that the speed of each vehicle in the controlled area is set by an off-board control unit that supervises each traffic intersection. The software component responsible for that is called an Intersection Control Service (ICS). From the system’s point of view, the vehicles are treated as cloud services and are discovered and invoked using a cloud computing methodology.
Geographical multicast addressing is used to target all vehicles in the specified areas. ICSs are part of a city/region wide cloud system that coordinates flow of traffic between intersections. The system’s optimisation objective is carried out on several planning planes simultaneously, the lowest being local to a single intersection and the highest being an entire city or region level. The ICS gathers traffic data from various sensors around the intersection, and from the vehicles they, creating a dynamic situation map which can be used to assess the road situation and perform short term predictions for vehicle control purposes.
Our proposed IoT based vehicular data cloud platform. By integrating various devices such as sensors, actuators, controllers, GPS devices, mobile phones, and other Internet access equipments, and employing networking technologies (wireless sensor network, cellular network, satellite network, and others), cloud computing, IOT, and middleware, this platform supports V2 V and V2I communication mechanisms and is able to collect and exchange data among the drivers, vehicles, and roadside infrastructure.
Our project is to conduct a general but informative study of the current trends of Vehicular Ad Hoc Networks (VANETS) as they relate to Intelligent Transport Systems (ITS). Along the way a tutorial will be completed to jump-start those interested in learning more about VANETs. Vehicular networking has become a significant research area due to its specific features and applications such as standardization, efficient traffic management, parking, road safety and infotainment.
We propose to use both cloud computing and IoT as an enabling infrastructure for developing a vehicular data cloud platform where transportation-related information, such as traffic control and management, car location tracking and monitoring, road condition, car warranty, and maintenance information, can be intelligently connected and made available to parking spaces, drivers, automakers, part-manufacturer, vehicle quality controller, safety authorities, and regional transportation division.