In recent years, the number of automobiles in China has exploded and traffic problems have become more and more obvious: the daily traffic congestion in 15 cities in China has lost 1 billion yuan per day. The number of traffic accidents per year in China is 500,000, and the number of deaths due to traffic accidents exceeds 100,000. The problem of urban congestion has become one of the most important problems that restrict the future development of the city and the overall operational efficiency, which has greatly affected the urbanization process in China. The reason for this problem comes from the reality of the fact that there are few people in China, and the limited physical capacity of the city is in contradiction with the rapid growth of the number of motor vehicles. On the other hand, the backwardness of urban traffic management causes the mismatch of traffic resources. . In the 1990s, Western countries proposed the method of intelligent transportation (ITS), which organically links people, vehicles and roads through information technology to improve the efficiency of road use and the efficiency of travellers. The technology of intelligent transportation has gradually been introduced into China and has become an important breakthrough to solve China's traffic problems.
Intelligent traffic management content
The key to intelligent transportation is to improve the modern management level of the transportation system and the operational service level of the transportation system, and promote the sustainable development of transportation. Investigate its connotation, including the following:
1. Intelligent traffic management. Intelligent transportation provides efficient and scientific modern management means for traffic management. In the field of traffic management and traffic operations, comprehensive application of various modern technologies to build a modern traffic management system to make traffic management and operations more efficient. It involves: road traffic monitoring system, bayonet vehicle identification system, road traffic test system, automatic identification and evidence collection system for traffic violations, and urban traffic intelligent guidance system.
2. Intelligent transportation services. Transportation is a social service system. Intelligent transportation must face the society and serve the public. It provides good services to the public through various intelligent means. Involved: urban traffic advisory service center, traffic tips and advice, traffic radio, automatic prompts and inquiries about traffic violations.
3. Construction of a traffic safety guarantee system based on intelligent transportation and sustainable development of transportation. Intelligent transportation through the coordinated management of people, vehicles and roads should significantly improve the level of traffic safety; the development of intelligent transportation will help build an energy-saving, environmentally-friendly and sustainable transportation system.
Big data helps intelligent transportation development
We have already lived in the digital life era. The use of data to speak is a feature of the digital age. An important contribution of the Internet is to make data online, online data has limitations, especially the data of human daily life, the emergence of mobile Internet Data is easier to collect. The development of information technology such as mobile Internet and cloud computing has spawned the arrival of the Big Data era.
Because the great value brought about by the professional analysis of data is unlimited, big data has become a strategic plan promoted by the policy levels of all countries in the world. The social circles have also created a whirlwind of big data, and the “entry card†around big data. "The battle is also fiercely played, search, social, payment, etc. have become a battleground. At present, these data fortresses are regarded as being guarded by industry giants. Baidu occupies web data. Ali occupies e-commerce data, Tencent. Occupy social data, with short-term irreplaceability, and can form their own industry barriers, such as Taobao refused Baidu 扒 data, so search expert Baidu had to lose the e-commerce search this gold-absorbing field.
As the largest mobile terminal in the future, the automobile is more powerful than the mobile phone, and the industrial chain of the Internet of Vehicles is long enough, making the Internet of Vehicles a concentrated expression of big data. It can be said to be a microcosm of big data. Internet companies have already rushed into the automotive field under the arm of big data. It is well known that Google has taken the lead in the field of driverless cars. It is based on the collection and analysis of big data. Microsoft has developed a new embedded embedded system for Ford. Spare no effort to cooperate with Audi, and iOS6 also began to force the automotive field.
At present, under the openness of domestic Internet competition, it is difficult to create an entry-level product in the product layout of large and small giants, but the data that can be controlled is not new, because the whole world Everything is changing, and as long as there is change, new data is born. However, most of the data is still offline. How to successfully convert “offline data†into “online data†is the key to form your own data barriers and release the true value of big data, such as the early public. The review network has accumulated a large number of restaurants and food data through the street sweeping mode, and gradually formed an online private data system.
In the context of the era of big data, the car as a small branch of the Internet of Vehicles, in order to open up their own new blue sea and successfully break through, we must try to establish their own data barriers:
The development of its own unique hardware should be a direction, using a combination of software and hardware, coupled with the Internet's thinking to operate, and ultimately will establish a huge data system, in this system to open another is to open up massive, heterogeneous, continuous Updated user-level data;
The other direction is to open up cross-industry data. Domestic Internet companies pay less attention to inter-disciplinary data, while data has “external valueâ€. Just like automakers’ automatic braking data combined with LBS data reveals public transportation. The safety of the road section.
Moreover, if the accuracy of the service content is solely based on the power of the service provider, it will not necessarily achieve the best effect by spending huge human and financial resources and time. The traditional concept of the car machine is only to provide navigation and entertainment, in the form of community interaction. , the data can be quickly collected, and thus a lot of value-added services can be derived to enhance the user experience and enhance user stickiness.
In fact, in the data analysis, processing, dissemination and other links, a wide range of App is full of business opportunities. In the era of big data, App still has a long tail feature. The massive data and massive data analysis technology of cloud storage also makes the real-time and extreme segmentation of consumers extremely cost-effective. The business of the car factory should be subdivided into user groups. It is even necessary to accurately describe the relevant information of individuals with “personal†as the center, and intelligent and personalized service matching under the premise of protecting privacy. This is also WEB2. The natural deepening and expansion of the .0 revolution.
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