Method for acquiring dynamic traffic information based on middleware

Abstract

The invention relates to a method for acquiring dynamic traffic information based on a middleware, which overcomes the shortcomings of data loss, data noise, and particularly the multi-source isomerism of data, reduces redundant data, ensures the accuracy of the data and improves the accuracy and the reliability of the data. The method comprises the following steps of: 1) transmitting the traffic information by adopting a serial interface communication mode and / or a network communication mode; 2) customizing an information acquisition port which can be matched with different inspection devices of the traffic information by using an interface definition language IDL in the CORBA middleware technique, identifying and normalizing the data from different inspection devices, thus acquiring the real-time dynamic traffic information, such as road traffic flow, vehicle velocity, road occupancy rate and the like; 3) performing preprocessing on the all data acquired by the method, and performing map matching on a floating automobile by using a road matching algorithm based on a network topology relationship; and 4) fusing and saving the multi-source isomerous real-time dynamic traffic data which is preprocessed by the method in a database by using an immune clustering neural network.

Description

technical field [0001] The patent of the present invention is a middleware-based dynamic traffic information collection method, which belongs to the technical field of traffic information collection and processing. Background technique [0002] With the continuous development of social economy and the acceleration of urbanization, the urban population and motor vehicles are increasing day by day, resulting in traffic congestion, traffic accidents and energy waste, as well as environmental pollution caused by doubled vehicle exhaust emissions. It not only seriously restricts the sustainable development of cities and social economy, but also seriously affects the quality of life of urban residents. [0003] Intelligent transportation is one of the important ways to solve the contradiction between transportation demand and supply in modern society. The traffic information platform is the core content of the intelligent transportation system and the hub for information exchange ...

AI Technical Summary

Problems solved by technology

However, due to the common influence of external reasons such as urban elevated roads or other high-rise buildings blocking GPS positioning signals and internal reasons such as vehicle-mounted equipment generally not providing complex algorithms, the accuracy of data collected by floating vehicle collection equipment is generally relatively low

Various traffic information detection devices have their own advantages and disadvantages. The types and forms of traffic parameters that can be detected, especially the data formats of traffic parameters may be different, which leads to traffic data with typical multi-source, Heterogeneity, multi-level, incompleteness and inconsistency, and has the characteristics of time and space, it is necessary to use data processing technology such as information fusion to improve the reliability and accuracy of traffic information, and will be inaccurate, incomplete, inconsistent, inconsistent Reliable, even conflicting, traffic information is translated into consistent explanations and descriptions of objects or phenomena

Images