Correlation between Road-Texture and skidresistance of pavement and influences on noise (VSS2009/703)
Overview
Background & policy context:
Knowledge of the correlation between texture, skid resistance and influences on the noise emissions is the basic condition for the situational evaluation of the requirements of the road surface properties and the associated choice of the surface mixture goods (pavement choice).
By the quantified available findings of the correlations between texture, skid resistance and noise emissions of different road surface properties, basics are created, which make it possible in each individual case to specify the optimum of the three parameters appropriate for this case, but though no loss of road safety is to be feared.
Such basics represent important tools not only with new buildings but particularly for a lasting preservation of real assets of lanes with simultaneous and equivalent consideration of road safety and environmental compatibility.
This research does not evaluate the road surface condition. New bases for the standardisation of texture and conditions of skid resistance will be investigated within this study. Thus the project is capable of being differentiated from highway network wide assessment of the pavement conditions. It just uses the excellent data of this network wide condition survey to research the correlation between texture, skid resistance and influences on the noise emissions.
Objectives:
With the realisation of this research project the following three objectives are pursued:
- to identify quantified correlations between pavement texture and skid resistance of road surface of different pavement types
- to provide analysis of influences and effects of changes of texture (and skid resistance) on the noise emission
- to derivative of basic principles for the evaluation of texture as possible further condition characteristic to the total evaluation of road surface conditions.
Methodology:
The research methodology is divided into four phases, each of which forms a milestone with its financial statements and the achieved results:
Phase 1: Basic treatment
These aggregated in 100 m intervals from the network-wide state detection, unweighted survey results for the texture, feel, CPX noise emissions and flooring must be borne in preparation of reports in a database at the research centres. It concerns the following site-specific data for every 100 m interval respectively. Parts thereof:
- Texture: Medium texture depth MTD of macrotexture and texture spectrum
- Grip: friction SLK with associated measurement speed
- Noise Emission: CPX-value with associated measurement speed, city / highway
- Flooring: asphaltic concrete AC, stone mastic asphalt SMA, drain asphalt PA, mastic asphalt, Microrauasphalt MR, concrete
- Street Category: National Road Running forms 2 x 3, 2 x 2, 2, G
While the data texture, feel and noise emissions resulting directly due to the evaluations and aggregations of survey data, the data must be collected for the flooring updated ASTRA covering cadastre. The road categories should be moved from the RBBS-database.
Phase 2: analysis of data
The large data volumes are split noise emission in data subsets in a first step according to the criteria of road, lineage / ramps, measuring speed grip and measuring speed and designated accordingly. Another breakdown of flooring is done in parallel.
In the second step these data subsets are statistically processed so that each group distributions of values formed and the characteristic of the distributions sizes as averages, standard deviations, skewness, etc. are determined. They form the basis for the analysis of the data and the relationships.
Phase 3: Analysis of correlations
According to objectives of the research project is in principle the recognition of the following contexts in the foreground:
- Correlation between texture (macrotexture) and grip
- Correlation between texture spectrum and noise spectrum (on representative sections)
- Possible links between noise spectrum and grip.
Phase 4: conclusions and findings
In the final phase 4 the inferences to be closed and the knowledge gained collated. This is done through the creation of the final report. For the normalization, the research results are also set out in
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