"Smart Cars" Drive to "Smart Roads" Vehicle-Road Collaboration Makes Cities Smarter
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China Construction News Network
Publish Time:
2022-03-10 14:10
In the fast-developing modern society, numerous and complicated urban roads are intertwined into galloping traffic arteries. This year, Robin Li, a member of the National Committee of the Chinese People's Political Consultative Conference and chairman and CEO of Baidu, focused on "intelligent transportation" and "autonomous driving" in the proposal.
In the context of the continuous development of a new generation of information technology, the "communication" between cars and urban roads has become possible. The development and construction of smart cities are increasingly closely related to intelligent transportation. Urban travel services have gradually become one of the main construction areas to improve people's living standards and satisfaction. The coordinated construction of both ends of the road has become the top priority. Under the new development opportunities, how to promote the coordinated development of vehicles and roads? How can vehicle-road coordination empower urban development?
Speed up the process of implementing the vehicle-road collaboration
In 2021, the Ministry of Housing and Urban-Rural Development and the Ministry of Industry and Information Technology have successively identified the first and second batches of pilot cities for the coordinated development of smart city infrastructure and intelligent connected vehicles (hereinafter referred to as "shuangzhi"). to a new stage. As the first batch of dual-intelligence pilot cities, Beijing has set up the Beijing Economic and Technological Development Zone (hereinafter referred to as the "Economic Development Zone") as a policy pioneer area for intelligent networked vehicles, and has embarked on a "pioneering road" for autonomous driving.
ImageFetcher (3).jpg Build smart light poles to improve road intelligence
At 28 intersections of open roads in the Economic and Technological Development Zone, Baidu has built a smart city infrastructure that supports L4 level by deploying more than 600 smart devices and building smart city infrastructure that features "multi-pole integration", "multi-sensory integration" and "multi-box integration". Infrastructure environment for autonomous vehicle test operations. As part of the smart city infrastructure, Baidu AIR (AIRoad) intelligent road system was put into use.
According to reports, compared with the traditional intelligent transportation system, Baidu AIR intelligent road system has more technical and cost advantages. Baidu AIR intelligent road system can accurately identify traffic intersection signal control and traffic organization problems, continuously optimize and improve, and improve traffic efficiency; and can timely detect intersection traffic accidents and traffic congestion incidents, and report back to the command center in real time, and the command center dispatches personnel to deal with them in time. , shorten the incident handling time, reduce the scope of incident impact, and improve urban traffic management capabilities. At present, Baidu AIR intelligent road system has been deployed at more than 2,000 intersections across the country, realizing real-time optimization of "city-level" information control, and realizing safe escort for vehicles on millions of kilometers of roads across the country.
Not only in Beijing, but also in Guangzhou, Guangdong, Jiading, Shanghai, Cangzhou, Hebei and other regions across the country, Baidu has carried out intelligent transformation of intersections, key road sections and other areas. The intelligent upgrade of infrastructure has accelerated the process of vehicle-road coordination.
Vehicle-road coordination accelerates the development of autonomous driving
With the accelerated development of smart city infrastructure and intelligent networked vehicles, the "smart car" to "smart road" has become a reality in many places, and the coordinated development of vehicles and roads has become an important path for the large-scale commercialization of autonomous driving. . As a product of the deep integration of the automotive industry with new-generation information technologies such as artificial intelligence, big data, and the Internet of Things, autonomous driving is the development direction of the automotive industry.
At present, there are two major technical routes in the autonomous driving industry: bicycle intelligence and vehicle-road coordination. Bicycle intelligence mainly realizes automatic driving through high-definition cameras, lidars and other on-board sensors and decision-making algorithms on the car side; vehicle-road collaboration uses 5G (fifth-generation mobile communication technology) and other on-board network sensors to cooperate with high-precision maps to learn road conditions, and The relevant information is transmitted to the vehicle end to supplement the insufficiency of the vehicle end capability.
ImageFetcher (2).jpgRobobus rear screen prompts road traffic information and serves other pedestrians and vehicles
At present, some long-tail technical problems of autonomous driving are still to be solved, resulting in limited landing scenarios. The vehicle-road collaboration can greatly expand the perception range of the car, improve the perception ability of the car, and improve the safety and large-scale landing speed of autonomous driving through information interaction, collaborative perception and collaborative decision-making control.
In February 2020, the National Development and Reform Commission, together with the Ministry of Housing and Urban-Rural Development and other departments, issued the "Intelligent Vehicle Innovation and Development Strategy", proposing to "promote the planning and construction of intelligent road infrastructure" as an important national strategic task, and clarified the "divided Promote the informatization, intelligence and standardization of road infrastructure by stages and regions." With the continuous acceleration of the construction of intelligent road infrastructure in Beijing, Guangzhou, Changsha, Shanghai and other cities, the coordinated development of vehicles and roads has accelerated, and the urban Traffic management is moving towards a new stage of intelligence and integration.
The integration of automobile and city improves the quality and efficiency of urban development
With the continuous advancement of the "dual intelligence" pilot work, vehicle-road coordination has become an important starting point for smart city construction.
Traditional cars are isolated bodies of information, and there is not much data and information interaction with the city. Therefore, the initial smart city construction is more concerned with the digitization, informatization and intelligence of infrastructure, and the intersection with automobiles is not large. . Nowadays, intelligent networked vehicles are gradually becoming the largest mobile information terminal and energy carrier in the city. The construction of "Double Intelligence" pilot cities takes the development of intelligent networked vehicles as the starting point and driving force. By rationally planning and optimizing the construction of urban infrastructure, urban roads, buildings, and public facilities, and forming an integrated perception system, it is possible to continuously promote wisdom. Transformation and upgrading of urban construction.
Not only that, vehicle-road coordination will also promote the further improvement of urban governance capacity and governance level. Taking urban traffic governance as an example, by developing technologies such as vehicle-road coordination, it will effectively improve the efficiency of road transportation, reduce carbon emissions, and ease the pressure of urban purchase and travel restrictions. It is estimated that intelligent transportation based on vehicle-road coordination can improve road traffic efficiency by 15% to 30%. In Baoding, Hebei, Baidu implemented regional traffic governance by deploying intelligent information control systems at more than 100 intersections to achieve automated, precise and intelligent control of vehicles. The average vehicle travel time was shortened by 20%, and the urban traffic governance capability was greatly improved.
At present, vehicle-road collaboration not only promotes the large-scale implementation of autonomous driving, but also sets off a new wave of urban smart transportation construction. Roads, clouds, networks, and cities achieve real coordinated development, form a new industrial ecosystem, and make smart cities more dynamic.
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