Vehicular Clouds: Enabling Next Generation Connected and Autonomous in-Vehicles Experiences

未来互联和自动驾驶汽车、智能交通系统、车联网(IoV)和互联智能城市的应用将产生前所未有的海量传感、存储、通信和计算资源需求，远远超出当前移动计算和网络系统的能力。近年来，人们对联网和自动驾驶汽车的兴趣与日俱增，移动云计算和网络的最新进展为使用车载云模式对可用的计算、通信和存储资源进行智能和创造性的管理和利用创造了新的机遇。然而，一些根本性和艰巨的挑战仍然悬而未决，需要进一步和深入的调查。 这项提议致力于为创新的车载云基础设施奠定基础，这将满足对各种资源的需求，进而满足对计算、内容、存储和频谱资源以及一般基于互联和自动驾驶车辆应用的日益增长的需求。为此，该计划将通过大规模移动网络管理、云计算以及互联和自动驾驶车辆的时间关键型和基于信息娱乐的应用程序的优化资源分配，解决车载云连接方面的关键和根本挑战。PI正在响应互联和自动驾驶汽车以及智能交通系统日益增长的需求。这项研究的长期愿景是为V2E设计高效的资源管理和发现协议，使用智能和互联交通系统的车载云范例。 最后，但并非最不重要的一点是，该计划预计将产生知识和原则，将导致车载网络和基于互联车载应用的服务供应系统的新纪元的发展，并在加拿大IT和交通公司需求日益增长的领域培训HQP，同时帮助这些加拿大行业成为技术进步的领跑者。

Future applications of connected and autonomous cars, smart transportation systems, Internet of vehicles (IoV) and connected smart cities will create an unprecedented demand for massive sensing, storage, communication and computation resources far beyond the capacity of current mobile computing and networking systems. The rising recent interests of connected and autonomous vehicles and the recent advances of mobile cloud computing and networking create new opportunities for smart and creative management and utilization of the available computing communication and storage resources using vehicular cloud paradigm. However, several fundamental and daunting challenges still remain open and need further and deep investigation. This proposal is devoted to developing the foundation towards an innovative vehicular cloud infrastructure, which will supply the need for all sort of resources, which in turn will handle the growing demands for computation, content, storage and spectrum resources, as well as connected and autonomous vehicles based-applications in general. To do so, this program will address critical and fundamental challenges in terms of vehicular cloud connectivity through large-scale mobile network management, cloud computing and optimized resource allocation for connected and autonomous vehicles' time-critical and infotainment based-applications. The PI is responding to the growing demands of connected and autonomous vehicles and intelligent transportation systems. The long-term vision of this research is towards the design of efficient resource management and discovery protocols for V2E using vehicular cloud paradigm for smart and connected transportation systems. Last, but not least, this program is expected to produce the knowledge and principle that will lead to the development of a new era in the vehicular networking and service provisioning system for connected vehicular based applications, as well as training HQP in an areas with impressive growing demands by IT and transportation Canadian companies while assisting these Canadian industries to be the frontrunner of the technological advancements.