Within the proof-of-concept of the project, a large part of Flanders was covered. Below, a small part of the results are available online, for a selected region of the South of Ghent, Belgium.
Pavement noise label. As engine noise is being reduced by improved engine and muffler design stimulated by European vehicle noise policy, and as the market share of hybrid and electric vehicles will increase over the coming years, the contribution of rolling noise in environmental noise is prone to significantly increase. Tires and road pavement both contribute to rolling noise, hence tire noise labeling and road pavement labeling have been proposed. Road pavement choice and maintenance could become an important tool for environmental agencies in their noise action plans developed according to the European Noise Directive 2002/49/EC. The graph below uses colors to indicate the noise label. When clicking on a road segment, the spectrum on the right shows the spectral deviation dL (in dB) of the road segment compared to the standard surface.
Macrotexture spectrum. Macrotexture refers to spatial irregularities in the road pavement with characteristic lengths between a couple of cm and 1m. Macrotexture can be indicative for road surface wear and degradation. By carefully tuning the indicator, joints on bridges and concrete plates can be included or not. The figure below shows the macrotexture spectrum (in dB) for every clicked road segment.
Waviness. Waviness of the road is important for passenger comfort and cargo safety. It is also indicative for the state of the foundation of the road. The maps below show the amplitude of waviness with a spatial wavelength of 2 m and a spatial wavelength of 10 m.
More technical details about this solution can be found in the references below. Feel free to contact us for inquiries.
- J. David, W. Van Hauwermeiren, L. Dekoninck, T. De Pessemier, W. Joseph, K. Filipan, B. De Coensel, D. Botteldooren, L. Martens. Rolling-noise-relevant classification of pavement based on opportunistic sound and vibration monitoring in cars. In Proceedings of the 48th International Congress and Exhibition on Noise Control Engineering (Internoise), Madrid, Spain (2019).
- W. Van Hauwermeiren, J. David, L. Dekoninck, T. De Pessemier, W. Joseph, D. Botteldooren, L. Martens, K. Filipan, B. De Coensel. Assessing road pavement quality based on opportunistic in-car sound and vibration monitoring. In Proceedings of the 26th International Congress on Sound and Vibration (ICSV), Montreal, Canada (2019).
- L. Dekoninck, W. Van Hauwermeiren, J. David, K. Filipan, T. De Pessemier, B. De Coensel, W. Joseph, L. Martens, D. Botteldooren. Opportunistic in-vehicle noise measurements assess road surface quality to improve noise mapping: preliminary results from the MobiSense project. In Proceedings of the 23rd International Congress on Acoustics (ICA), Aachen, Germany (2019).
- B. De Coensel, K. Filipan, W. Van Hauwermeiren, J. David, L. Dekoninck, T. De Pessemier, W. Joseph, L. Martens, D. Botteldooren. Opportunistic sensing for road pavement monitoring. In Proceedings of the Transport Research Arena (TRA), Helsinki, Finland (2020).
- J. David, T. De Pessemier, L. Dekoninck, B. De Coensel, W. Joseph, D. Botteldooren, L. Martens. Detection of road pavement quality using statistical clustering methods. Journal of Intelligent Information Systems (2019).
The MobiSense project received some press coverage, links can be found below (all in Dutch):
- De Standaard: https://www.standaard.be/cnt/dmf20191125_04737246
- Het Nieuwsblad: https://www.nieuwsblad.be/cnt/dmf20191126_04738960
- imec portfolio: MobiSense leaflet