Road network level pavement flatness detection method based on multi-vehicle crowdfunding vibration data

Abstract

The invention relates to a road network level pavement flatness detection method based on multi-vehicle crowdfunding vibration data, and the method comprises the following steps: obtaining the vibration data of a test vehicle, and carrying out the preprocessing of the vibration data; taking a road section of which the flatness index gradient is greater than a preset threshold value in the road network to be detected as a known flatness road section, and obtaining the flatness index of the known flatness road section; acquiring a driving track of the test vehicle, acquiring a vehicle number threshold value according to the driving track of the test vehicle and the known flatness road section information, extracting the vehicle of which the number of times of passing through the known flatness road section is greater than or equal to the vehicle number threshold value as a calculation vehicle for current iteration, acquiring vibration data of the calculation vehicle, and pre-estimating vehicle parameters of the calculation vehicle; calculating a flatness index of the road section with unknown flatness based on the estimated vehicle parameters; and repeatedly carrying out iteration for multiple times until the flatness indexes of all the road sections in the road network to be detected are obtained. Compared with the prior art, the method has the advantages of high accuracy, good stability, low cost and the like.

Description

Technical field

[0001] The present invention relates to the field of pavement quality testing, in particular to a road network level pavement flatness detection method based on multi-vehicle crowdfunding vibration data. Background

[0002] Road surface flatness is an important indicator of road service performance and driving comfort. Traditional laser-section-like flatness detection methods can guarantee high measurement accuracy, but they are expensive, have limited coverage and require specialized vehicle modifications. With the development of sensing technology, mobile terminals represented by smart phones have become an important way to obtain data. However, the flatness measurement based on the vibration of the bicycle mobile phone is not fundamentally different from the test mechanism of the traditional reaction method, and it is still necessary to calibrate the parameters of the special test vehicle, resulting in limited measurement efficiency and high dispersion of the r...

Examples

Embodiment

[0050] With the popularity of smart phone devices, the use of three-axis accelerometers, gyroscopes, positioning modules, etc. equipped with smart phones to collect vibration and position information of vehicles, these data directly or indirectly reflect the level of smoothness of the road surface, providing a possibility for large-scale, high-frequency road network level flatness perception. With the promotion of the "Internet +" travel service model, a large number of traffic trips have spawned a large number of high-frequency, wide-coverage, low-cost massive on-board mobile phone crowdfunding data. Although crowdfunding data is lower than professional equipment in terms of single-point acquisition accuracy, due to its huge volume, it can often reflect the stable characteristics of the environment. Compared with the flatness measurement method based on bicycle mobile phones, the road surface flatness perception method based on crowdfunding data can effectively improve the covera...

Technical field

[0001] The present invention relates to the field of pavement quality testing, in particular to a road network level pavement flatness detection method based on multi-vehicle crowdfunding vibration data. Background

[0002] Road surface flatness is an important indicator of road service performance and driving comfort. Traditional laser-section-like flatness detection methods can guarantee high measurement accuracy, but they are expensive, have limited coverage and require specialized vehicle modifications. With the development of sensing technology, mobile terminals represented by smart phones have become an important way to obtain data. However, the flatness measurement based on the vibration of the bicycle mobile phone is not fundamentally different from the test mechanism of the traditional reaction method, and it is still necessary to calibrate the parameters of the special test vehicle, resulting in limited measurement efficiency and high dispersion of the r...

Examples

Embodiment

[0050] With the popularity of smart phone devices, the use of three-axis accelerometers, gyroscopes, positioning modules, etc. equipped with smart phones to collect vibration and position information of vehicles, these data directly or indirectly reflect the level of smoothness of the road surface, providing a possibility for large-scale, high-frequency road network level flatness perception. With the promotion of the "Internet +" travel service model, a large number of traffic trips have spawned a large number of high-frequency, wide-coverage, low-cost massive on-board mobile phone crowdfunding data. Although crowdfunding data is lower than professional equipment in terms of single-point acquisition accuracy, due to its huge volume, it can often reflect the stable characteristics of the environment. Compared with the flatness measurement method based on bicycle mobile phones, the road surface flatness perception method based on crowdfunding data can effectively improve the covera...

Images