With the continuous development of sensor technology, communication technology, GIS technology (geographic information system), 3S technology (remote sensing technology, geographic information system, and global positioning system technology) and computer technology, the collection of traffic information has gone from manual collection to A single magnetic detector traffic message collects the history of the development of traffic information collection from multiple sources and multiple collection methods. At the same time, the research on traffic information processing at home and abroad is gradually deepened. Statistical analysis technology, artificial intelligence technology, data integration technology, Parallel computing technology, etc., has been gradually used in the processing of traffic information, which has resulted in continuous development and innovation of traffic information processing, and more satisfying the needs of ITS subsystem administrators and users. The information collection and processing equipment industry shows the following characteristics:
1. Diversification of information collection and processing methods The collection of traffic information is divided into manual collection methods and automatic collection methods. Automatic collection methods include magnetic detectors (including induction coil detectors, magnetoresistive sensors, etc.), optical detectors (including video detectors, laser detectors), microwave detectors (including microwave detectors and radar speedometers), and road conditions. And weight sensors (rain and fog detectors, road ice detectors, wheels, axle loaders, etc.). With the development of science and technology, automatic collection technology has been continuously researched, developed and utilized. Various collection technologies have their own advantages and disadvantages. The combination of multiple collection methods to collect traffic information is currently the hottest topic in domestic and foreign research.
Information quality control technologies, multi-source traffic information integration technologies, multiple time-scale prediction technologies for information, information integration technologies, information compression technologies, and storage technologies have been developed, which have greatly improved the accuracy of information and the types of information provided.
Second, the content of information and geographical scope of a wide range of different ways to collect the collection of the parameters of a limited variety of parameters, such as induction coil can only collect traffic flow, occupancy, speed and other fixed-section traffic parameters; video detector can only collect traffic Traffic parameters such as flow rate, speed, occupancy, queue length, etc.; along with combinations of various traffic collection methods, traffic parameters such as traffic flow, speed, occupancy, queue length, travel time, and interval speed can be obtained. It has enriched the collection of traffic information and also increased the breadth of geographical coverage.
With the increase of the sources of traffic data, the demand for real-time traffic information from traffic users has gradually increased. In recent years, distributed parallel computing technology, high-performance computing servers, and high-performance data processing algorithms have gradually been used in the processing of mass traffic information at home and abroad, improving the processing speed of information.
Third, the accuracy of information collection and economic improvement With the development of magnetic and optical sensor technology, image processing technology and positioning technology, the accuracy of the collection of traffic information has also been continuously improved. At the same time, with the continuous in-depth study of traffic detector configuration optimization techniques in recent years, the collection of traffic information under the conditions of ensuring the comprehensiveness and dynamicness of information also improves the economics of traffic information collection. This laid the foundation for the development and utilization of the 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, which has greatly improved the accuracy and quality of information processing.
Future Trends From a technical perspective, product technologies in the intelligent traffic information collection and processing equipment industry have commonalities, such as dynamic weighing, detectors, electronic police, and security bayonet. The main core technologies include algorithm programs. In terms of hardware platforms, embedded software, networks, communications, etc., enterprises that master these core technologies have a strong ability to extend their products.
From the perspective of the development status and trends of the world of intelligent transportation, the collection, processing and analysis of traffic information has become an increasingly important part of ordinary traffic management activities. The traffic management departments of many large and medium-sized cities in the world have acquired the ability to collect, process, analyze and publish traffic information on a wide range of road networks in real time. For traffic management agencies, the ability to obtain accurate and reliable traffic data and extract accurate and useful decision support information has become increasingly important. For travelers, obtaining road network traffic status information in real time, predicting and responding to historical laws has become a real demand.
1. Diversification of information collection and processing methods The collection of traffic information is divided into manual collection methods and automatic collection methods. Automatic collection methods include magnetic detectors (including induction coil detectors, magnetoresistive sensors, etc.), optical detectors (including video detectors, laser detectors), microwave detectors (including microwave detectors and radar speedometers), and road conditions. And weight sensors (rain and fog detectors, road ice detectors, wheels, axle loaders, etc.). With the development of science and technology, automatic collection technology has been continuously researched, developed and utilized. Various collection technologies have their own advantages and disadvantages. The combination of multiple collection methods to collect traffic information is currently the hottest topic in domestic and foreign research.
Information quality control technologies, multi-source traffic information integration technologies, multiple time-scale prediction technologies for information, information integration technologies, information compression technologies, and storage technologies have been developed, which have greatly improved the accuracy of information and the types of information provided.
Second, the content of information and geographical scope of a wide range of different ways to collect the collection of the parameters of a limited variety of parameters, such as induction coil can only collect traffic flow, occupancy, speed and other fixed-section traffic parameters; video detector can only collect traffic Traffic parameters such as flow rate, speed, occupancy, queue length, etc.; along with combinations of various traffic collection methods, traffic parameters such as traffic flow, speed, occupancy, queue length, travel time, and interval speed can be obtained. It has enriched the collection of traffic information and also increased the breadth of geographical coverage.
With the increase of the sources of traffic data, the demand for real-time traffic information from traffic users has gradually increased. In recent years, distributed parallel computing technology, high-performance computing servers, and high-performance data processing algorithms have gradually been used in the processing of mass traffic information at home and abroad, improving the processing speed of information.
Third, the accuracy of information collection and economic improvement With the development of magnetic and optical sensor technology, image processing technology and positioning technology, the accuracy of the collection of traffic information has also been continuously improved. At the same time, with the continuous in-depth study of traffic detector configuration optimization techniques in recent years, the collection of traffic information under the conditions of ensuring the comprehensiveness and dynamicness of information also improves the economics of traffic information collection. This laid the foundation for the development and utilization of the 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, which has greatly improved the accuracy and quality of information processing.
Future Trends From a technical perspective, product technologies in the intelligent traffic information collection and processing equipment industry have commonalities, such as dynamic weighing, detectors, electronic police, and security bayonet. The main core technologies include algorithm programs. In terms of hardware platforms, embedded software, networks, communications, etc., enterprises that master these core technologies have a strong ability to extend their products.
From the perspective of the development status and trends of the world of intelligent transportation, the collection, processing and analysis of traffic information has become an increasingly important part of ordinary traffic management activities. The traffic management departments of many large and medium-sized cities in the world have acquired the ability to collect, process, analyze and publish traffic information on a wide range of road networks in real time. For traffic management agencies, the ability to obtain accurate and reliable traffic data and extract accurate and useful decision support information has become increasingly important. For travelers, obtaining road network traffic status information in real time, predicting and responding to historical laws has become a real demand.
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