Data processing method for mountain area highway road test signal detection system

Abstract

The invention discloses a data processing method for a mountain area highway road test signal detection system. The method includes the steps of loading linear stake number data of a road section to be measured and elevation data corresponding to stake numbers into a vehicle-mounted industrial personal computer, inputting the starting stake number of the measured road section through the vehicle-mounted industrial personal computer, reading the elevation data in a GPS receiver, inputting the elevation data into the vehicle-mounted industrial personal computer, making a road test signal collector, a counter and the GPS receiver work, automatically inputting related data into the vehicle-mounted industrial personal computer, inputting the terminal point stake number of the measured road section through the vehicle-mounted industrial personal computer, reading the elevation data in the GPS receiver, inputting the elevation data into the vehicle-mounted industrial personal computer, calling an internally-integrated data analyzing and processing module through the vehicle-mounted industrial personal computer to read data in a disk of the vehicle-mounted industrial personal computer, analyzing and processing the read data, and obtaining the analysis and process result. The data processing efficiency is high, personal error is effectively reduced, the obtained data are high in accuracy, and manpower and material resources are saved.

Description

technical field [0001] The invention relates to the technical field of data collection and processing, in particular to a data processing method for a road test signal detection system of a mountainous expressway. Background technique [0002] With the rapid and comprehensive development of the economy, my country's expressway construction has made great achievements. my country's geographical environment is extremely rich. In order to speed up the traffic roads connecting different regions, many mountainous expressways have been built in our country. The road environment of mountainous highways is complex and accidents occur frequently. Chinese researchers often do some road tests to collect relevant data. In the research of road test data such as road safety evaluation, vehicle speed characteristics, adaptive cruise based on road alignment, etc., It is often necessary to collect and test signals such as vehicle speed, acceleration, and vehicle lateral acceleration on the ...

AI Technical Summary

Problems solved by technology

[0003] At present, the existing road test collection methods can collect relevant vehicle signals and the corresponding longitude, latitude and elevation of the signals, but it is difficult to correspond the longitude, latitude and other position information corresponding to the collected relevant signals to the chainage of the road alignment However, the item of road stake number is not displayed in the data output item

The existing technology is to manually process the data after collecting the data, and use the collected position information such as longitude and latitude to manually map it to the relevant road alignment stake number. This method is not only not accurate, but also has a high efficiency of data processing. At the same time, due to the loss of GPS signals when collecting highway tunnels in mountainous areas, the location signals such as latitude and longitude in the tunnel cannot be obtained, which will lead to the lack of data collection and bring great troubles to later research.

Generally speaking, the road test signals collected by the prior art all use the longitude and latitude information to correspond the collected signals, and it is rare to use the road stake number information for correspondence

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