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Remote sensor for winter road surface status detection
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
2011 (English)In: Proceedings of IEEE Sensors / [ed] IEEE, IEEE conference proceedings, 2011, 1285-1288 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper suggests a cost effective remote sensor for increasing traffic safety by detecting road surface conditions. One limitation of existing systems is the ability to reliably detect the presence of ice and snow on the road surface. By utilizing infrared detectors sensitive in the water absorption spectral range, it is possible to remotely detect the presence of water on a surface. Using the near infrared spectra to detect water is well known, but further research is desired on methods to distinguish water in the form of water, ice and snow. Remote sensors are easy to install and they have low service costs compared to road mounted sensors. Existing remote sensors are currently expensive, but by utilizing cost effective infrared detectors a sensor has been made that can be deployed at any road weather information system. Laboratory results showed that the sensor gave reliable output that distinguishes between the surface conditions dry, wet, snowy and icy.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2011. 1285-1288 p.
Keyword [en]
Remote sensors, infrared, surface status
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-15404DOI: 10.1109/ICSENS.2011.6127089ISI: 000299901200311Scopus ID: 2-s2.0-84856894952Local ID: STCISBN: 978-1-4244-9290-9 (print)OAI: oai:DiVA.org:miun-15404DiVA: diva2:467498
Conference
10th IEEE SENSORS Conference 2011, SENSORS 2011;Limerick;28 October 2011through31 October 2011;Category numberCFP11SEN-CDR;Code88419
Available from: 2012-01-20 Created: 2011-12-19 Last updated: 2016-10-19Bibliographically approved
In thesis
1. Surface Status Classification, Utilizing Image Sensor Technology and Computer Models
Open this publication in new window or tab >>Surface Status Classification, Utilizing Image Sensor Technology and Computer Models
2015 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

There is a great need to develop systems that can continuously provide correct information about road surface status depending on the prevailing weather conditions. This will minimize accidents and optimize transportation. In this thesis different methods for the determination of the road surface status have been studied and analyzed, and suggestions of new technology are proposed. Information about the road surface status is obtained traditionally from various sensors mounted directly in the road surface. This information must then be analyzed to create automated warning systems for road users and road maintenance personnel. The purpose of this thesis is to investigate how existing technologies can be used to obtain a more accurate description of the current road conditions. Another purpose is also to investigate how existing technologies can be used to obtain a more accurate description of the current road conditions. Furthermore, the aim is to develop non-contact technologies able to determine and classify road conditions over a larger area, since there is no system available today that can identify differences in road surface status in the wheel tracks and between the wheel tracks.

Literature studies have been carried out to find the latest state of the art research and technology, and the research work is mainly based on empirical studies. A large part of the research has involved planning and setting up laboratory experiments to test and verify hypotheses that have emerged from the literature studies. Initially a few traditional road-mounted sensors were analyzed regarding their ability to determine the road conditions and the impact on their measured values when the sensors were exposed to contamination agents such as glycol and oil. Furthermore, non-contact methods for determining the status of the road surface have been studied. Images from cameras working in the visible range, together data from the Swedish Transportation Administration road weather stations, have been used to develop computerized road status classification models that can distinguish between a dry, wet, icy and snowy surface. Field observations have also been performed to get the ground truth for developing these models. In order to improve the ability to accurately distinguish between different surface statuses, measurement systems involving sensors working in the Near-Infrared (NIR) range have been utilized. In this thesis a new imaging method for determining road conditions with NIR camera technology is developed and described. This method was tested in a field study performed during the winter 2013-2014 with successful results.

The results show that some traditional sensors could be used even with future user-friendly de-icing chemicals. The findings from using visual camera systems and meteorological parameters to determine the road status showed that they provide previously unknown information about road conditions. It was discovered that certain road conditions such as black ice is not always detectable using this technology. Therefore, research was performed that utilized the NIR region where it proved to be possible to detect and distinguish different road conditions, such as black ice. NIR camera technology was introduced in the research since the aim of the thesis was to find a method that provides information on the status of the road over a larger area. The results show that if several images taken in different spectral bands are analyzed with the support of advanced computer models, it is possible to distinguish between a dry, wet, icy and snowy surface. This resulted in the development of a NIR camera system that can distinguish between different surface statuses. Finally, two of these prototype systems for road condition classification were evaluated. These systems were installed at E14 on both sides of the border between Sweden and Norway. The results of these field tests show that this new road status classification, based on NIR imaging spectral analysis, provides new information about the status of the road surface, compared to what can be obtained from existing measurement systems, particularly for detecting differences in and between the wheel tracks.

Place, publisher, year, edition, pages
Sundsvall: Mid Sweden University, 2015. 104 p.
Series
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 219
Keyword
road condition, NIR, infrared, remote sensing, signal processing, classifiers
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-24828 (URN)STC (Local ID)978-91-88025-13-5 (ISBN)STC (Archive number)STC (OAI)
Public defence
2015-05-05, Q221, Akademigatan 1, Östersund, 10:15 (English)
Opponent
Supervisors
Available from: 2015-04-15 Created: 2015-04-14 Last updated: 2016-12-23Bibliographically approved

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Citation style
  • apa
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Output format
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