Method for processing RFID (Radio Frequency Identification) traffic data

Abstract

The invention discloses a method for processing RFID (Radio Frequency Identification) traffic data. The method comprises the following steps of: arranging an RFID base station of each main road in a city, and sticking an RFID environment-friendly electronic card on each access vehicle. The method specifically comprises the following steps of: by using an adjacency list model as a basis, the RFID base stations as nodes, and paired RFID base stations as base station pairs, forming a road net structure model by using the nodes and the base station pairs; and acquiring information of each access vehicle by each RFID base station to form real-time access data, caching the access data into a memory database, then matching the real-time access data, abnormally processing and regularly counting on matching results to generate real-time traffic parameters and storing results in a data base. According to the invention, the RFID access data is processed through road net modeling, and then accurate traffic parameters are obtained, and the thus a firm foundation is provided for the subsequence accurate traffic management.

Description

[0001] technical field [0002] The invention belongs to the technical field of intelligent traffic road network modeling, and in particular relates to a method for modeling based on RFID base station layout and calculating and processing collected RFID traffic data. Background technique [0003] With the rapid development of society and economy, the number of motor vehicles has increased rapidly, the contradiction between urban road supply and traffic demand has become increasingly prominent, and traffic congestion has become increasingly serious, resulting in longer driving time, aggravated environmental pollution, more traffic accidents, and the decline of the overall function of the city. Traditional traffic management means and methods are unsustainable. Only by using information technology can real-time information on road conditions be obtained and released in a timely manner, and dynamic traffic signal control can be carried out based on traffic flow, vehicle speed an...

AI Technical Summary

Problems solved by technology

[0005] 1. The data type is relatively simple;

[0006] 2. The data quality is average, and the quality is significantly different under the influence of weather and other natural environments;

[0007] 3. Unable to recognize or recognize the specific information of the license plate with poor accuracy;

[0008] 4. The application scenarios are narrow, and the resulting economic benefits are low;

Images