How important is data in the development of intelligent and connected vehicles?

Driven by the new round of scientific and technological revolution, with the peak of mobile Internet traffic dividends and the development of artificial intelligence, high-precision maps and 5G technology, automobiles have gradually taken over from smart phones in the mobile Internet era and become an important carrier for the application of new technologies. At the same time, in the development environment of the integration of science and technology, automobiles, communications and other industries, all kinds of technology and Internet entrepreneurs have begun to cross over to various fields, and intelligent networking has increasingly become a must in the automotive field in the information age.

Big data will accelerate the development of intelligent networking

In fact, the intelligent network has only entered the homes of ordinary people in a short history of five or six years. New things have their advantages, and naturally there will be immature developments. The reason for this is largely due to the explosion of information in the era of the Internet of Everything, and the data brought by a large number of sensors from the process of calculation, processing and then to the first time, car companies have not paid enough attention to this.

On the other hand, the current intelligent network is still in the stage of hundreds of companies, and different car companies and technology companies are also building ideal intelligent networked cars according to their own imagination.

Therefore, in the face of the rapid development of technology in the automotive field and the increasing cost pressure of traditional business, car companies urgently need to make breakthroughs in the research and development of new technologies for intelligent networking and the search for new profit points. Therefore, by combining the big data of the automobile consumer side and the big data of the travel side, the huge industrial value and development potential behind the development of the field of automotive intelligent networking are fully presented, so as to cope with the increasingly fierce industry competition.

In addition, from the user's point of view, by analyzing consumer consumption data and travel data, it is not only possible to intuitively understand the current needs and expectations of consumers for intelligent networking. At the same time, through a deep understanding of user needs, we can start to develop products that are more in line with market demand and test new business models that are closer to user needs as soon as possible.

Data is the soul of the development of intelligent networking of automobiles and plays an extremely important role.

Intelligent networking has increasingly become a battleground in the automotive field in the information age.

In the era of big data, it is important to be able to analyze changes through data alone.

Big data will have a market trend and be able to respond to car problems in a timely manner.

Data can enable producers to better understand the psychology of consumers in order to produce something more in line with the minds of consumers.

Data is very important, and in the future, it will be the data age, and any data will be valuable.

In the era of big data, any one piece of data can bring a lot of value.

Data is the soul of the development of intelligent networking.

Data can make manufacturers better understand the psychology of consumers, and it is also convenient for everyone to understand more and better understand.

Data is the most basic thing to analyze.

1. Environmental perception technology

Environmental perception includes vehicle state perception, road perception, pedestrian perception, traffic signal perception, traffic sign perception, traffic condition perception, and surrounding vehicle perception.

2. Wireless communication technology

Long-distance wireless communication technology is used to provide instant Internet access, mainly using 4G 5G technology, especially 5G technology, which is expected to become a special technology for long-distance wireless communication in vehicles. Short-range communication technologies include dedicated short-range communication technologies (DSRC, Bluetooth, WiFi, etc., among which DSRC is of high importance and needs to be developed urgently.

3. Intelligent interconnection technology

When two vehicles are far away or are blocked by obstacles, resulting in direct communication can not be completed, the communication between the two can be transmitted through the roadside unit, forming a centerless, completely self-organizing vehicle-mounted ad hoc network, and the vehicle-mounted ad hoc network relies on short-range communication technology to realize the communication between V2V and V2I.

4. Vehicle network technology

5. Advanced driving assistance technology

Advanced driving assistance technology detects and identifies roads, vehicles, pedestrians, traffic signs, traffic signals, etc. through vehicle environment perception technology and self-organizing network technology, analyzes and processes the identification signals, and transmits them to the actuator to ensure the safe driving of vehicles.

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The development status and trends of intelligent networked vehicles are as follows:

Development status. Science and technology have promoted the development of the automotive industry, intelligent networked vehicle technology has gradually entered the public eye, and China has also begun to develop intelligent networked vehicle technology on a large scale to promote the development of China's intelligent automobile industry chain.

At present, the development trend of the automotive industry is to develop and manufacture intelligent networked vehicles, and now automobile manufacturers in many countries have invested a lot of money in order to develop intelligent networked vehicles, which is mainly to allow the automotive industry to adapt to the development of the times.

The development trend of intelligent networked vehicles.

1. Apply sensing technology to develop networked vehicle technology.

In the process of driving, the driver mainly relies on vision to obtain various information, such as traffic signal signs and traffic conditions around the body. Compared to the human eye, the camera has a richer linear density.

The driver can obtain more data information through the camera, and the amount of data obtained by any other type of sensor is lower than the data obtained by the camera, mainly because the image uses multiple sensors to optimize the in-vehicle system and roadside system, which is the top priority of the development of intelligent networked vehicles.

2. Apply intelligent networking to develop intelligent networked vehicle technology.

There are many advantages of cloud computing technology, such as it can store a large amount of information and it can also process this data on a large scale to achieve data sharing, etc. Cloud computing technology can also take advantage of these advantages to provide a wide range of services, including infrastructure services and platform services, as well as transportation applications.

In the development of intelligent networked vehicle technology, cloud computing technology can provide certain help in geographic information, and its path guidance service and information release technology also provide help for the development of intelligent networked vehicles.

It is also the main direction of the development of intelligent networked vehicle technology to establish a complete intelligent networked vehicle cloud platform and improve the intelligence and security of the cloud platform.

3. Apply networked intelligent technology and autonomous driving technology to develop intelligent networked vehicle technology.

Compared with self-driving intelligent vehicles, networked intelligent technology has a stronger ability to perceive the environment around the body, and it can also obtain more communication information from time and space, which can not only improve the perception and decision-making ability of intelligent networked vehicles, but also create good conditions for group collaborative perception and decision-making of intelligent vehicles.

Modern communication technology has enabled the sharing of real-time information between vehicles and between vehicles and roads. In the process of driving, intelligent networked vehicles can understand the driving status of surrounding vehicles in advance, and can also grasp the traffic control system and meteorological information in advance.

The rapid development of China's industry has led to the development of China's automobile industry, since the 2008 world economic crisis, China's automobile production and sales have rapidly occupied the market, becoming the world's first forest, China's automobile industry as a whole is showing a steady growth trend, and the annual production and sales volume has been increasing.

By 2021, China's automobile production and sales will complete 10,000 and 10,000 respectively, with year-on-year growth and respectively, ending the downward trend of "three consecutive declines", and the auto market has finally turned red. The sales of new energy vehicles have soared, and independent brands have surpassed joint venture brands, but they still have to overcome the difficulty of "lack of cores", and the sales of new energy vehicles have ranked first in the world for 7 consecutive years.

At present, the state is researching the intelligent network of automobiles. There are also some cities that have already started implementing driverless cars. However, the current vertical auspicious technology is relatively speaking, not so mature. When the spine is noisy, this is also a trend.

Intelligent connected vehicles are an important direction for the development of automotive technology in the future. Especially with the rapid growth of car ownership, intelligent interconnected vehicles with intelligent, networked, controllable, data-based and other characteristics will effectively improve China's current traffic and travel conditions.

1. Application of unmanned driving technology

At this stage, many automotive research institutions and automobile manufacturers are vigorously developing driverless technology. Autonomous driving will also become one of the main driving methods for people to travel by car in the future. With the gradual maturity of unmanned driving technology, the unmanned driving assistance equipment equipped on the vehicle, combined with network positioning and satellite positioning data, will realize the rapid acquisition and judgment of many information in the driving process, and timely implement relevant driving decisions.

Compared with human driving, unmanned technology is theoretically more reliable.

2. In-depth utilization of network data

In the future, smart cars should further improve the application of network and big data on the basis of Internet of Vehicles technology. On the one hand, big data technology can be used to guide traffic, so that vehicle control, traffic signals, traffic congestion and other data can form a good matching relationship, effectively avoid road congestion, and adjust the signal light time in real time according to the congestion data provided by vehicles and machines. The combination of intelligent connected vehicles and transportation systems can effectively alleviate traffic pressure; On the other hand, satellite positioning combined with network big data technology can accurately locate the location of each vehicle, and intelligently adjust the distance and speed between vehicles under the supervision and guidance of the big data network, so as to effectively reduce the incidence of vehicle collisions.

Reduce the occurrence of scratches and other traffic accidents.

Third, the safety performance has been further improved

In order to improve the driving safety of intelligent connected vehicles, it is necessary to improve the safety of vehicles from both hardware and software aspects. On the one hand, the use of advanced synthetic materials instead of traditional metal body materials not only ensures the economy of the driving process, but also improves the safety of the automobile collision process; On the other hand, compared with manual driving, intelligent networked vehicles use visual recognition, radar detection technology, combined with network positioning, data support, satellite positioning and other technologies, to avoid driving fatigue, poor eyesight, negligence, speeding and other problems during manual driving, and significantly reduce the probability of traffic accidents.

In this way, the future development of automotive intelligent networking: intelligent life experience on-board social network is an important direction for the development of the current Internet of Vehicles, and the large-screen host of the on-board entertainment information display screen is applied in the car, which is a good way to achieve the world's first human-vehicle interaction; An important application of the Internet of Vehicles is collision avoidance; Collision avoidance technologies include collision warning and driving assistance, which eliminate some traffic accidents caused by human error through nearby vehicle detection blind spots, inspection road detection and vehicle emergency braking means; prevent traffic jams; energy conservation and emission reduction, promote the battle for blue sky, etc.

I think the future development trend of intelligent networking is very good; There is a gradual upward trend, and in the process, this intelligent technology can be applied to all aspects to improve the efficiency of the use of the car.

The future development of automotive intelligent networking has become an inevitable trend of the development of the times, and the future development of automotive intelligent networking will gradually be integrated into our lives.

The development is very good, and there will be a lot of new jobs added to the industry. The trend of unmanned driving, the development of this industry is promising, and the industry is highly profitable.

Major listed companies in the smart highway industry:Hikvision (002415), E-Hualu (300212), Dahua (002236), TransInfo Technology (002373), Xinzhi Cognition (603869), NavInfo (002405), Wantong Technology (002331), etc.

1. The Internet of Vehicles has entered the 5G stage

China's Internet of Vehicles began in 2009, experienced the initial stage and mobile phone interconnection stage, after 2016 the Internet company into the Internet to accelerate the development of the Internet of Vehicles industry to the stage of vehicle networking, after the popularization of 5G, the Internet of Vehicles to further enhance the experience of vehicle information services, and gradually realize automatic driving and meet the needs of smart highway business.

2. The growth of the scale of the Internet of Vehicles is a true portrayal of the development of smart highways

According to CCID data, in 2016, the size of China's Internet of Vehicles market was less than 40 billion yuan, and in 2020, it was about 97.5 billion yuan, due to the promotion and application of 5G technology in 2020, the development of V2X technology, and the improvement of user value-added payment, the market ushered in explosive growth, with a growth rate of more than 60%. Forward-looking estimates show that the scale of the Internet of Vehicles in 2021 has exceeded 110 billion yuan. The growth of the scale of the Internet of Vehicles has become a true portrayal of the development of smart highways.

3. The regional development of the Internet of Vehicles is dominated by Beijing, Shanghai and Guangdong

From the point of view of the distribution of representative enterprises in the Internet of Vehicles industry, Guangdong Province and Hubei Province are the main concentrations of representative enterprises in the Internet of Vehicles. The main representative enterprises are mainly concentrated in Beijing, Guangdong and Shanghai.

4. The three-layer architecture of the Internet of Vehicles in the smart highway

From the perspective of the Internet of Vehicles technology alone, it can be composed of various vehicles, forming a huge interactive network of vehicles, speed, routes and other information integrated together, and through RFID, cameras, GPS, sensors and other software and hardware equipment to achieve information processing, vehicles can complete the collection of their own environmental state information, and through the Internet of Things technology, the various information of the vehicle will be gathered to the first processor, analyze and process the driver, the working state of the vehicle, and arrange the best route of the vehicle in a timely manner. Report road conditions and signal light cycles to ensure safe driving.

5. The Internet of vehicles ensures the safety and smoothness of smart highways

The Internet of Vehicles is developed based on the Internet of Things and belongs to a branch of the Internet of Things. The application of the Internet of Things in the construction of smart highways in China is mainly reflected in the highway traffic guidance system, rescue system, vehicle identification and vehicle monitoring system, electronic non-stop toll collection system, etc. These aspects provide safety and convenience for vehicle users, while ensuring the smooth flow of highways.