Roadside Computing Research: How does edge computing enable smart connected vehicles? Policies and standards for roadside computing are being implemented one after the other, favoring the boom of the industry.
New York, June 20, 2022 (GLOBE NEWSWIRE) – Reportlinker.com announces the release of the report “China Roadside Edge Computing Industry Report, 2022” – https://www.reportlinker.com/p06286407/?utm_source=GNW
In April 2020, the National Development and Reform Commission defined the scope of “new infrastructure” for the first time, which includes new infrastructure such as cloud computing and smart computing centers; in February 2021, China’s Ministry of Transportation released the “National Comprehensive Three-Dimensional Transportation Network Planning Outline”, suggesting to promote the digitization and connection of transportation infrastructure, deploy traffic perception systems in a comprehensive manner and facilitate the implementation of autonomous driving and vehicle infrastructure cooperation.
These policies facilitate the steady development of the intelligent transportation industry, and help it move from the information phase to the connection phase, and ultimately to the intelligent road phase. Powerful roadside perception, edge computing, internet communication and cloud control technologies provide support for efficient fully automated driving.
In addition to kind-hearted policies, roadside computing standards are improving:
In December 2021, the draft of the group standard “Edge Computing Gateway Communication Interface Standard of Intelligent Road” was published. It specifies the communication interface requirements for the southern heterogeneous hardware access and the north unified access platform of the intelligent roadside computing gateway.
In March 2022, the group standard “General Specification for Traffic Information Holographic Acquisition System of Road Intersection” jointly prepared by Huawei, Beijing MapABC Technology, Beijing Chinasoft Zhengtong Information Technology, Shenzhen Traffic Police Office and Changzhou Traffic Police Division came into force. This standard indicates that edge computing units should be uniformly deployed at intersections; the videos, images, and structured data collected in all directions must be managed and calculated to provide the fusion information of intersections that will be uploaded to the business application platform.
Based on the construction of a standard edge cloud, the standardized cooperation between the city center cloud and the edge cloud will make further improvement in the future, to realize the intercommunication and interconnection between edge cloud devices, and facilitate the unified management of large-scale and the application of -band-cloud “collaboration.
In the new technology architecture for smart roads, “edge computing” is being applied to more scenarios.
Intelligent transportation is transforming from information to intelligent communication. The construction of intelligent roads serves as an important part in intelligent transportation. Currently in China more than 20 provinces have completed the renovation and construction of more than 40 smart highways, and “cloud network edge terminal” is becoming a next-generation technology architecture for smart roads. In this new technological architecture, the “edge” plays a more prominent role and makes its way into more application scenarios.
Edge devices with a certain computing power can moderate the pressure of cloud computing on the roadside. In addition, edge computing can cut the transmission time of data on the network, simplify the network structure and also enable accurate perception of traffic conditions. Edge computing thus has a definite advantage in building intelligent paths, especially in the telematics environment.
(1) Application of edge computing in vehicle infrastructure cooperation
With the lens of the three delivery modes of edge computing, 5G multi-access edge computing (MEC) is best suited to the intelligent transportation sector. As MEC is introduced into vehicle infrastructure cooperation, edge computing devices allow direct, real-time reception of localized data from in-vehicle terminals and roadside sensors, analyze the data, and transmit the analysis results to other connected vehicles in the adjacent area with ultra-low latency. The whole process can be completed in milliseconds.
The next-generation vehicle infrastructure collaborative technology technology architecture enables fusion application of MEC, C-V2X, 5G and more, delivering much stronger end-to-end communication capabilities. This architecture is also a solution to the problem of high construction complexity and costs posed by wired back transport of the roadside data. Moreover, when the penetration rate of V2X equipment is not high enough, it provides N2V services for ordinary vehicles without OBU installed via 4G / 5G network, improving the application and promotion of vehicle infrastructure cooperation.
(2) Application of edge computing in HD map
The use of HD maps helps achieve the L4 / L5 standalone drive application, but still faces some challenges such as real-time dynamic updates. The introduction of MEC is a better way to solve these problems.
The MEC carrying HD maps enables fast distribution of dynamic maps. Combined with 5G network cutting technology, it allows a vehicle to get HD map data in real time and save a lot of storage space from the main unit.
(3) Application of edge computing in smart park
The introduction of edge computing in a smart park not only enables the perception, monitoring, analysis, control and integration of the resources at all the key links of the park, but also realizes vehicle infrastructure cooperation there.
Shougang Winter Olympics Park has built a 5G + C-V2X-based cooperative vehicle infrastructure system (CVIS) that enables global traffic situation awareness. The facility deploys sensory devices such as cameras and radars, and connects smart devices such as signal lights on both sides of the highway and vital intersections in the park, to achieve global traffic information collection. It also deploys perception-based multi-source heterogeneous fusion perception algorithms within the roadside MEC, develops and optimizes algorithms for Winter Olympics scenarios that enable traffic video detection and tracking in weather conditions, e.g., heavy snow and fog.
(4) Application of edge computing in a highway scenario
At the highway entrance ramp, traffic accidents are prone to occur when vehicles merge. Intelligent perception devices deployed on the ramp such as cameras and radars acquire vehicle movement trajectories and traffic flow data, then the deployed MEC devices are used for perception fusion and vehicle trajectory forecasting, and eventually, the forecast results are distributed to the connected vehicles. collision warning and ramp in the fusion area, lane change assistance, and vehicle speed guidance are enabled.
The enormous derivative value of the industry leads to competition for arrangement between companies.
The large-scale construction of smart roads is being accompanied by growing companies deploying edge computing. Players of chips, computing platforms, software, communication and cloud services among other fields are working to explore the roadside computing market. Among them, cloud service providers with their superiorities in cloud computing technology tend to apply cloud computing technology to the edge. For example, Chinese giants such as BAT (Baidu, Alibaba and Tencent) have started to deepen their computing capabilities into the cutting edge since 2018, racing to spread their cutting edge computing products.
In terms of product layout, the three main operators (China Mobile, China Telecom and China Telecom) have made extensive deployments in edge computing, cloud control platform, and communication technology to connect the edge computer network communication cloud control links; in addition to edge computing units, Internet companies such as Huawei, Alibaba and Tencent, as well as some conventional roadside equipment suppliers are also deploying roadside perception units to build a complete roadside perception system solution.
Huawei: the roadside perception units and ITS800 edge computing nodes used in the holographic intersection solution are all independently developed by Huawei.
Currently, Huawei has built a complete intelligent ecosystem for the road industry, with R&D and production capabilities covering the entire chain from chip, edge computing and roadside perception to a cloud platform. The kunpeng + openEuler software hardware collaborative edge computing platform uses Huawei Kunpeng 920’s self-developed processor, TaiShan200 edge server (model: 2280E) and openEuler server operating system.
Huawei’s edge computing unit features repeat and update of cloud edge algorithm, real-time analysis and generation of structural data of road conditions, and access to V2X real-time service data.
Alibaba Cloud: in 2021 it introduced a new “Cloud-Edge Integrated Small Station” where a Neuro-edge computing terminal, edge computing server, all-in-one traffic big data, and a smart vehicle display for vehicle infrastructure cooperation help reduce much of the cost of smart road projects and increase the return on investment. Among them, the small-sized Neuro computer terminal boasts multiple capabilities and also supports cloud management.
Alibaba Cloud has deployed Neuro-edge computing terminals on the Chengdu Second Ring Road Expressway and Chengdu-Yibin Expressway. The way to deploy a pole every 800 meters requires fewer devices arranged and saves the construction cost as much as possible.
In addition, chip and computing platform vendors have also launched roadside-related edge computing products.
Black Sesame Technologies: the company unveiled FAD Edge, a roadside perception computer platform for vehicle-infrastructure collaboration scenarios. Based on Huashan No.2 A1000 standalone drive chip (later upgraded to A1000 Pro), FAD Edge applies cloud computing to the edge side, and completes most computing tasks at the edge computing nodes to meet the ultra-low latency needs of vehicle infrastructure collaboration; in addition, with 58 to 224TOPS computing power, FAD Edge supports multi-channel perceptual data access and multiple types of sensors; the built-in multichannel device data fusion algorithms can be connected to the V2X system.
Unlimited AI: the company launched a high-end fusion domain controller in 2021. As the first integrated MEC and RSU design in the world, this product has strong real-time computing power, and is easy to deploy and maintain. Without the need to occupy land and municipal space separately, it reduces engineering construction costs by 75% and maintenance fees by 80%, while remaining prominent in mass adoption.
Report on Roadside Computing Industry, 2022 highlights the following:
• Research on the status quo of smart city and smart transportation industry, leading smart transportation solutions, etc .;
• Research on edge computing (supervision), computer modes, status quo of roadside computing standards, market size, status quo of industry chain, need for roadside application, etc .;
• Research on the connection of roadside computing with internet communication, the connection with cloud control, etc .;
• Research on the main application directions of roadside computing (including smart highway, smart intersection, smart park and parking lot), etc .;
• Research on major roadside computing devices and solution providers (major roadside computing devices, general roadside computing solutions and application, etc.).
Read the full report: https://www.reportlinker.com/p06286407/?utm_source=GNW
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