5G connected car is not only born for autonomous driving
2019 can be called the first year of 5G commercialization in China. 5G and connected car are the two hottest topics in the ICT industry and smart car industry in recent years. In the past ten years, from the perspective of the communications industry, 4G has promoted the rapid development of the mobile Internet. With a large number of application technologies established by the "channels", they have been put into the Internet of Vehicles and formed "various" solutions and services. And products. In the front-loading market, most of the new models of mainstream car companies already have networking capabilities. In the process, the end-users (car owners) have been used to use this service, forming a promising market. It is largely a continuation of market development over the past years.
5G car networking should avoid the lessons learned
In the 5G era, the Internet of Vehicles is recognized as the most rigid demand in the 5G era. When it comes to 5G car networking, in addition to the traditional 5G application model that continues the car-network connection in the 4G era, it must be the C-V2X (Cellular-V2X refers to LTE-V and its subsequent evolution NR V2X, which represents the car , Roads, etc.).
On the one hand, this is because LTE-V is an important content in 3GPP Release14 and is an important part of 5G systems. At the same time, we see that 3GPP is still continually improving this standard system, especially in the recent research project of 3GPP Release 17, we can see this tendency. The previous version is not the end. In the future, we will not only continue to enhance the evolution of V2X, but also drive the research on positioning, multicast, and other directions. It can be seen that C-V2X itself is an important component in the 5G category.
On the other hand, stemming from the entire industry's lack of patience with DSRC (dedicated short-range communication) technology. In the past ten years, the application of DSRC in Europe and America has not been successful. DSRC's development over the years has only a few hundred thousand front-loading capacity. In the United States, so far, there are only less than 6,000 roadside equipment for deployment. The author believes that the core problem causing this situation is that the data cannot be effectively fused. This "island type" of data cannot fuse the data of each intersection and each road end into holographic, global data. From the perspective of large traffic, it only provides information at a certain point and a certain section. For autonomous driving, these "fragmentary" data does reduce the calculation amount of bicycles to a certain extent, but this is far from achieving many ordinary cars The number of autonomous driving targets is still far away. The importance of these scattered data is not enough to drive users to pay. The lack of a business model has made this technology appear more often in conjunction with autonomous vehicle testing.
With the lessons learned from the previous car, 5G car networking must fully utilize the advantages of the network for data fusion and realize the connection between 5G car networking and transportation. This big data fusion can be used by ordinary users and form valuable services. mine".
Smart transportation is multidimensional
The nature of 5G car networking is still an application that relies on 5G connection technology. The foundation of intelligent transportation is the four-dimensional integration of "vehicle road network cloud". If factors such as "traffic disadvantaged participants" are added, then intelligent transportation is five-dimensional or even more dimensional, and the connection between various dimensions requires 5G communication. technology.
The three major scenarios brought by 5G (high bandwidth, low latency, and large connections), especially the concepts of bandwidth and connectivity, can be deeply integrated with the needs of intelligent transportation. The connection idea of 5G car networking is exactly what is needed for intelligent transportation. To make the road smarter, more data, more timely data, and more accurate data are necessary. The simultaneous appearance of 5G car networking and the "smart" road can be described as compliant. Time and place. However, there is a cognitive misunderstanding in the industry at present, focusing too much attention on the car-centric 5G car networking around autonomous driving, emphasizing the property of large bandwidth, but ignoring the ultimate future of autonomous driving. Developed around Maas (Mobility As A Service). In the future, people will travel in a variety of forms, but they will never change. Road traffic is always the core element of transportation.
On the question of "smart car" or "smart road", my opinion is that 5G is the closest partner to AI, but the core of transportation is "safety" and "efficiency", and the key to solving the problem Lies in the road. The most obvious thing is that the construction of green belts in many cities has greatly improved the citizens' experience of traveling. The traffic efficiency at a certain intersection has increased by 1%, and the owner can wait for one or two red lights. The average waiting time will be Significant decline. Thinking about the future, if the roadside sensing unit is connected to the network through 5G vehicle networking, maybe the traffic light timing engineer will not need a lot of preliminary statistical analysis work. The network will calculate the current optimal based on historical data and the current traffic situation of the entire area. The timing scheme will greatly improve the traffic efficiency of the entire region.
At the same time, intelligent cars plan an optimal path based on the optimal situation of the entire network and the driving habits of the owner. The network can also provide the optimal lane recommendation when the network is congested, preventing the owner from repeatedly switching lanes. High-risk targets (bicycles, children, pets, etc.) can also be pushed in real time when passing through intersections, and the safety of the entire transportation system will be greatly improved. In the end, the entire industry can advance into the high-tech that ordinary people can experience, and start with the most practical experience and convenience of daily life. The progressive application of science and technology that wants to come to this layer will not be reduced to "high-tech." toy".
5G Internet of Vehicles should first be "wisdom"
With the advent of 5G connected vehicles as a milestone, the large transportation industry has solved the "perception" problem with information technology in the past, and provided the basis for "management" with technical means such as cameras and radar. After the advent of 5G Internet of Vehicles, based on rich sensing and data connection foundations, the entire industry should use these means to "drive" the improvement of traffic safety and travel efficiency, and change from passive management to active services.
As traffic participants in daily life, we can experience a lot of pain points, such as untimely buses caused by congestion, traffic accidents caused by pedestrians or non-motorized vehicles crossing a red light, etc. The current information flow is based on perceptual "forensics", but accidents It has happened and still caused harm, the bus alone cannot solve the problem of congestion. In the era of 5G connected cars, communication technology provides basic capabilities with high bandwidth and low latency for the connection. It can achieve full-path, holographic perception by upgrading from the original perception. And in 5G IoV, this capability also has the possibility of “sharing” to all traffic participants. Because 5G IoV has low-latency and high-bandwidth connection capabilities, artificial intelligence technology can be used on the network side to perceive roadside perception. Perform a global analysis. From the perspective of traffic efficiency, relying on 5G connected vehicles can relieve congestion and make the road smooth at the system level. For example, dynamically adjusting the timing of traffic lights, temporarily adjusting the right of the road to ensure bus priority, and even push congestion information in real-time on electronic maps, and emergency passing vehicle avoidance information to temporarily avoid vehicle owners. From a security perspective, 5G vehicle networking can locate and identify surrounding risk sources, even non-line-of-sight risk sources, on the vehicle side through on-board artificial intelligence, and can even avoid risks in time to realize the safety guarantee for car owners, which truly reflects Features of "security" and "convenience".
Transportation is the backbone of the national economy. Cities represented by Xiamen and Hangzhou have already carried out commercial exploration at multiple levels based on the core concepts of "safety" and "convenience." The author believes that the biggest highlight of these practices lies in the idea of "dimensionality reduction and commercialization". It combines the communication capabilities of 5G car networking with the perception and planning technologies that are ripe for automatic driving. It is used in limited areas and restricted areas first. The dividends of new technologies leave plenty of room for future development. For example, the platform uses 5G vehicle networking to provide speed guidance for public transportation, safe collision avoidance, expanding the detection zone of blind spots, and even assisting the construction of green belts for buses, helping drivers reduce work intensity and reducing the amount of information that drivers need to obtain at the same time. After the implementation of these measures, the road situation is more “transparent” from the results, the vehicle road traffic efficiency has been significantly improved from the data, the on-time rate of public transportation has been relied on, and the driver ’s feedback is more assured when passing through the intersection. Gains were obtained from technological improvements.
Looking into the future, 5G connected cars can help managers control the flow of motor vehicles, help reduce congestion, assist new technologies such as RoboTaxi (autonomous taxis), smart BRT, and urban micro-circulation buses, allowing citizens to use public travel methods to obtain safer, More comfortable experience. We suggest that transportation-related managers and participants can learn from the idea of "dimensional reduction", use 5G vehicle networking to integrate various dimensions of various transportation, and first build "smart" roads to allow public transportation and personal travel to enjoy the new technology. Dividends, forming a closed-loop business model that can be replicated. At the same time, sufficient resources and redundancy are reserved for the future, and the scope is continuously expanded in the form of small steps. Each round of development forms a win-win situation. Through long-term development, "smart" cars run on "smart" roads. Vision.
Chief Editor: Zhu Lingzhen