Expressway Informatization in large data age

In recent years, "Big Data" rage, all walks of life are exploring the "big data" thinking and technology in the application of the industry. Can freeway use "big data" to solve related problems?

Recently, the 16th session of China Expressway Information Symposium and technical Products exhibition was held in Qingdao, Shandong province, sponsored by China Highway Society, and many representatives put forward their own brilliant views on the application of large data in the transportation industry.

Huge potential value of highway mass data

It is understood that the academic community summed up the characteristics of large data to 4 "V", namely volume (large), velocity (high-speed), produced (diverse), value (values). In fact, there was no data mining before, and "Big Data" theory is different from traditional data mining.

Xi ' An Highway research institute Jianganggang said, the traditional data mining using the mathematical method is usually to find some independent variables and dependent variables, forming a dependent variable and a series of causality, establish an equation, and then the results of the calculation. The "Big data" is precisely the reverse solution of the above results, that is, through a large number of data to find the association, and then to find the relational formula. The big data is "know but don't know why", the layman through large data analysis can beat the expert.

Chang, Professor Xu Hongco, said that when the data is obtained, it may be disorderly and can not see the law, but the use of mapping, Cong, various forms of equation fitting, calculation of certain characteristics of the method can be found in the regularity of the data.

Data mining can be screened for escaping vehicles

Shandong province Traffic and Transportation Hall Expressway toll Settlement Center Xu Qingjun This paper introduces how to apply data mining to realize the purpose of charging inspection. It is understood that Shandong Province has specially built a set of inspection platform. According to the set algorithm, the platform is used to identify and collect the collected data of the whole province, and then automatically remind the relevant departments and the toll stations.

"The algorithm is critical. "Xu Qingjun analysis said, seemingly normal lane business running water, which vehicles have the suspicion of escape charges?" A single water naturally cannot be judged, need to combine many lanes, but Shandong Province Expressway every month to produce about 50 million of the fee data, a huge amount of water toll data to make people dizzy.

To do so, they first analyze the behavioral characteristics that can successfully evade tolls, and then construct the only algorithm that can identify the data, so that the suspect vehicle can be identified through the system. Of course, final confirmation still needs to be validated on site.

"Big Data" is inseparable from "cloud computing"

In recent years, with the "Big Data", "cloud computing" has become a popular buzzword.

It is understood that "cloud computing" is a computing task distributed in a large number of computer resources pool, so that a variety of application systems can be used to obtain computing power, storage space and information services. In Xu Hongco's view, "Big data" applications need "cloud computing" power.

Xu Hongco Analysis said that around large data, a group of emerging data mining, data storage, processing and analysis technology will continue to emerge, so processing massive data is easier, cheaper and faster. Large data processing technology is changing the current computer operating mode, large data storage and management requirements, so that the establishment of cloud database as a necessary condition.

It is introduced that the information technology research plan of Transportation Science and Technology plan project in 2014 by the Ministry of Transportation will be an important direction for the key technology of traffic and transportation data exchange and processing based on cloud computing, integrated traffic operation monitoring and information service.