As sensor technology, communication technology, GIS (geographic information system) and 3 s techniques (remote sensing technology, geographic information system, global positioning system (GPS) three techniques) and the continuous development of computer technology, the traffic information collection has experienced from manual collection into a single magnetic detector multi-source traffic information collected many kinds of collection way of traffic information collection of historical development process, at the same time, domestic and foreign research on traffic information processing, statistical analysis technology, artificial intelligence technology, data synthesize technology, parallel computing technology is gradually being used in the transportation information processing, The traffic information processing has been continuously developed and innovated to meet the needs of ITS subsystem managers and users. Information collection and processing equipment industry shows the following characteristics:

(1) diversified ways of information collection and processing

The methods of traffic information collection are divided into manual collection and automatic collection. Automatic collecting ways including magnetic detector (including induction coil detector, magnetic resistance sensor, etc.), optical detector (including video detector, laser detector), microwave detector (including microwave detector and radar), road conditions and weight measurement sensors (mist detector, detector, the road is icy wheel, axle load meter, etc.). With the development of science and technology, automatic collection technology has been studied, developed and utilized continuously. All kinds of collecting technologies have their own advantages and disadvantages. Collecting traffic information by combining various collecting methods is the hot and focus of research at home and abroad.

The information quality control technology, multi-source traffic information fusion technology, multi-time scale prediction technology, information integration technology, information compression technology and storage technology are developed, which greatly improves the accuracy of information and the types of information provided.

(2) the content and geographical scope of the information are wide

The types of parameters collected by different traffic collection methods are limited. For example, the induction coil can only collect the traffic parameters at fixed locations, such as traffic flow, occupancy and speed. Video detector can only collect traffic parameters of fixed places such as traffic flow, speed, occupancy rate and queue length. With the combination of a variety of traffic collection methods, traffic flow, speed, occupancy, queue length, travel time, interval speed and other sections and section traffic parameters can be obtained, which enriches the collection content of traffic information and improves the scope of geographical collection.

With the increase of traffic data sources, the demand of traffic information users for real-time performance of mass traffic information is gradually increasing. In recent years, distributed parallel computing technology, high performance computing server and high performance data processing algorithm have been gradually used in the processing of sea traffic information, improving the processing speed of information.

(3) improve the accuracy and economy of information collection

With the improvement of magnetic and optical sensor technology, image processing technology and positioning technology, the collection accuracy of traffic information has been improved. At the same time, with the continuous in-depth research on the optimization technology of traffic detector configuration in recent years, the collection of traffic information has improved the economy of traffic information collection under the condition of ensuring the comprehensiveness and dynamics of information. This lays a foundation for the development and utilization of ITS system. With the gradual maturity of artificial intelligence, statistical analysis, fuzzy logic and chaos theory, some traffic information processing methods based on these theories and methods have been gradually developed, greatly improving the accuracy and quality of information processing.

The future development trend of intelligent transportation industry

From the technical level, intelligent transportation information collection and processing equipment in the industry product technology with convergence, such as dynamic weighing, detector and electronic police, security monitoring, etc., the main core technologies include algorithm procedures, hardware platform, embedded software, network, communication, etc., to master the core technology of its products extension ability is stronger.

From the development status and trend of intelligent transportation field in the world, the collection, processing and analysis of traffic information has become an important part of traffic management activities. Traffic management departments in many large and medium-sized cities around the world have acquired the ability to collect, process, analyze and release traffic information from large-scale road networks in real time. The ability to obtain accurate and reliable traffic data and extract accurate and useful decision support information has become increasingly important for traffic management departments. For travelers, it has become a realistic demand to obtain real-time, predictive and reflective information about the traffic status of the road network.