Urban road traffic parameter estimation and road situation discrimination method based on RFID (Radio Frequency Identification) data and application system

Abstract

The invention relates to an urban road traffic parameter estimation and road situation discrimination method based on RFID (Radio Frequency Identification) data and an application system and belongs to the technical field of intelligent transportation. The method comprises the steps of preprocessing the RFID data to realize identification of road network running vehicle tracks and obtain traffic parameters such as travel time, road section travel speed, road section flow and road network OD (Origin-Destination) through calculation; according to traffic parameter history data obtained through calculation, performing clustering analysis to traffic states, determining road situation discrimination thresholds and then discriminating the states according to real-time estimated traffic parameters. The urban road traffic parameter estimation and road situation discrimination method based on RFID data and the application system provided by the invention have the advantages that the traffic state discrimination accuracy is above 90 percent, the algorithm efficiency can meet the real-time demand of updating once per minute, the feasibility and the engineering applicability are better and a strong support can be provided for urban traffic state sensing.

Description

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AI Technical Summary

Benefits of technology

The technical effect of this invention is that it can efficiently eliminate incorrect or valid data from an acquired radio frequency identifier (RFI) dataset for accurate tracking purposes during driving activities by calculating various factors like distance traveled over different sections within a specific area based upon their location along with other variables like velocity and direction. This helps improve safety measures and reduce congestion caused by unexpected events happening around them.

Problems solved by technology

The technical problem addressed by this patented method relates to improving the precision and reliability of detecting various parameters like speed limits or roads along which vehicles move during route planning operations without relying solely upon traditional techniques involving manual input from human operators. This would improve overall performance and reduce costs associated with vehicle navigation services while also providing valuable feedback about changes made over longer periods of use.

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