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In Tencent cooperative vehicle infrastructure system open platform, for edge cloud and central cloud system, we built a vehicle-road cooperative edge computing platform with good ecological openness based on Tencent cloud-edge collaborative system TMEC:
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1）Flexible aggregation of third party system: the platform is completely decoupled from the third-party system, and the original road data collected by roadside infrastructure is directly provided to the third party system by means of senseless forwarding through the programmable data retransmission system. In addition, edge cloud and center cloud connect with third-party systems (such as traffic monitoring center) through specific open data interfaces. Edge cloud can share structured v2x information with third-party systems, while center cloud can provide big data interface to third-party systems, providing big data processing and analysis functions for third-party applications.
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2）Seamless connection to 5G / V2X network: the platform supports the connected vehicles service deployed by edge cloud to seamlessly connect to 5G / V2x network, and can simultaneously adapt v2x messages to 5G base station (Uu Interface) and C-V2X RSU (PC5 interface) transmission, and support for 5G Internet of vehicles and cloud game business under high-speed vehicle scene, using innovative 5G end-to-end slice activation for application and location, AI weak network detection, MEC resource scheduling for Internet business and other technologies, to achieve seamless docking for 5G/V2X. The platform adopts Tencent self-developed micro service framework to realize service-oriented governance of edge cloud business including third-party business. The framework has been adopted by 3GPP SA2 R16 as one of the four main solutions of 5G core network service architecture evolution (eSBA) (the other three are traditional telecom equipment provider solutions), and has been partially adopted by 3GPP standards TS23.501 and TS23.502.
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3）Low-cost platform: due to the openness of the platform, it can make full use of the existing infrastructure and flexibly aggregate the third-party system, so it can greatly reduce the cost for the users. The current system integrates Intel low-cost computing hardware in the edge cloud, which greatly reduces the computing power cost by 50% and reduces the energy consumption of the edge cloud by 60%. In addition, by using cloud GNSS high-precision positioning method, compared with the traditional RTK solution, the cost of connected vehicle terminal can be reduced by about 90% under the condition of slightly reducing the positioning accuracy (but meeting the requirements of lane level positioning).