Wave Big data gives city traffic "eye of Wisdom"

With China becoming "the country on the wheel", traffic problems such as congestion, violation of regulations, accidents and parking difficulties are not only the heart pain of many "car-race", but also a major livelihood problem that city managers urgently need to solve. In fact, the traffic problems behind the massive data of the scientific processing problem, "intelligent transportation" to achieve the real "radical" strategy. With the development of large data technology of cloud computing, all kinds of problems of urban transportation have come to the opportunity of solving. As China's leading large data manufacturers, the wave has developed a "smart traffic" of large data solutions, greatly promoting the "smart traffic" blueprint to achieve.

Card mouth System: "Achilles heel" of intelligent traffic

Intelligent traffic is a large and complex system, including the automobile mobile animal networking, urban traffic management and control, urban traffic information services, urban intelligent public transport and other core systems, each system covers the traffic information collection, processing, analysis, feedback and many other links. Among them, as an important part of the urban traffic management and control system, the card mouth system is the focus of the current public security traffic, and the level of its "wisdom" will determine whether the whole urban transportation management and control effect can really solve the troublesome traffic problem.

Schematic diagram of road card mouth system

The front end of the card mouth system is composed of the card-mouth equipment which is distributed in the city including High-definition cameras, lights, embedded intelligent analysis and control mainframe, optical transceiver or fiber transceivers and other equipment, mainly to complete the traffic lights state detection, motor vehicle violations detection, illegal photo capture, light control, illegal records to store, Related Information network upload tasks. The latter end requires a large data storage and processing platform, video, pictures and other unstructured data storage, query, analysis and processing, for the relevant work to provide data decision-making basis.

The card mouth system is the most serious link in the neutral ability of the public security traffic control system, and the user's data quantity and real-time demand have put forward the huge challenge to the data processing technology. According to estimates, a large city annual traffic data can reach PB level, and the data type is very complex. And from the actual needs of managers, to the set of vehicle tracking and illegal vehicle alarm two traffic management main function points as an example, need to return the results in real time to match the identification of the license plate number and database, and make a hint. The traditional database can not realize this function demand in real time, so it is necessary to use the new large data processing technology in the processing and searching of the similar huge amount of information, and to maximize the value of the hardware resources while satisfying the demand.

As the newest and newest technology in the field of technology, large data technology can provide the first-class traffic information support and technical service for the establishment of urban road modernization monitoring system through data collection, analysis, visualization and distribution of traffic flow parameters, events and other dynamic traffic information.

Large data analysis Platform component diagram

HBase gives traffic smarter "eyes"

At present, the most mainstream large data technology is not Hadoop, is the most widely used in the current data platform technology. As one of the subprojects on the Hadoop platform, HBase is a highly reliable, high-performance, column-oriented, scalable distributed storage system, which can build a large-scale structured storage cluster on a low-cost server, and has a great advantage in realizing the online real-time mass data processing. The use of HBase technology in traffic services to improve the performance and service quality of the card port system has become a wise choice to solve the urban traffic problems in the current large data age.

In the face of heterogeneous data types, large and rapid growth of data volumes, as well as managers for rapid response needs, the tide of large data technology is how to meet the requirements of the technical aspects? The following will be addressed to the specific business needs of public security traffic to be explained:

• Data storage

The card mouth system is the key point of the public security traffic management business, the card mouth over the vehicle data generally includes the card mouth number, the lane number, the plate number, the license plate color, the plate type, the car time, the vehicle speed and so on attribute information. Due to the characteristics of the HBase data table, the card in the design of the vehicle data table, you can use the car number and the time of the main key, so that in the card-mouth over the car record query, you can at the same time by plate numbers and car time for the query conditions.

• Supervised vehicle alarm

When the vehicle passes through the card, the camera takes photos of the car and quickly identifies the vehicle information such as the license plate number. Using HBase technology to carry on the high speed comparison analysis to this vehicle brand, checks whether this vehicle is within the supervised vehicle range, when the recognition license plate number conforms to the supervised vehicle characteristic, the system will issue the real time warning, the alarm information includes the license plate number , speed, model, vehicle passing time, vehicle pictures, etc., to facilitate the quick response of police officers.

• Analysis of the deck car

The system sets a threshold that specifies the speed of the distance between each two card ports. When the same license plate number is detected in two card mouths, however, during this period of monitoring can not travel from one card to the other, it may be concluded that one of the vehicles belonging to the set of vehicles, the system will be the two vehicles to the alarm, and prompted the police to quickly handle.

• Vehicle trajectory analysis

Select a key vehicle, check all the cards passing through the time period, and display the history track of the vehicle in the police geographic information system.

• Accompanying vehicle identification

It can automatically analyze the vehicle information that appears in the same time interval (for example: 30 seconds before and after) for a certain vehicle within a selected range of times.

Wave Wisdom Traffic Large data solution topology

HBase is just the tip of the iceberg. Big data can do more

The successful application of large wave data technology in intelligent transportation is only the tip of large data processing technology, which includes not only Hadoop distributed parallel computing technology, but also MPP (massive parallel processing), HBase technology Stream (streaming) technology and so on. Whether from data storage level or query request level, distributed storage not only solves the problem of massive data storage of customers, but also solves the demand of real-time or quasi real time query by using distributed query request.

Therefore, the future of large data applications will use the combination of distributed storage computing and Low-cost server cluster, using Hadoop as a storage of massive data, using MPP technology as data processing, the bottom support of the distribution, and the use of stream technology to achieve real-time application.

It can be foreseen that the rapid development of large data technology will enable us to see the realization of intelligent transportation in the near future, and the deteriorating urban traffic condition can be improved effectively.