Using Probe Vehicles for Pavement Monitoring: Experimental Results from Tests Performed on a Road Network
| Autor: | Miguel Ortiz, Fabien Menant, Jean Marc Martin, Daniel Meignen, David Betaille |
|---|---|
| Přispěvatelé: | Laboratoire Auscultation, Modélisation, Expérimentation des infrastructures de transport (IFSTTAR/MAST/LAMES), PRES Université Nantes Angers Le Mans (UNAM)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR) |
| Rok vydání: | 2016 |
| Předmět: |
Engineering
CHAUSSEE automated data processing Automated data processing Real-time computing 0211 other engineering and technologies 02 engineering and technology Field tests [SPI.MAT]Engineering Sciences [physics]/Materials Transport engineering [SPI]Engineering Sciences [physics] MATERIAU SURVEILLANCE 021105 building & construction 0502 economics and business CAPTEUR Monitoring methods VEHICULES SONDES probe vehicles 050210 logistics & transportation TRAITEMENT AUTOMATISE DES DONNEES Data collection business.industry 05 social sciences longitudinal evenness Process (computing) SONDE Metrology PLANEITE LONGITUDINALE Software deployment low-cost sensors CAPTEURS ECONOMIQUES pavement monitoring business |
| Zdroj: | TRA 2016, European Research and Technology Conference on Transport and Mobility TRA 2016, European Research and Technology Conference on Transport and Mobility, Apr 2016, VARSOVIE, Poland. pp. 3013-3020, ⟨10.1016/j.trpro.2016.05.438⟩ |
| ISSN: | 2352-1465 |
| DOI: | 10.1016/j.trpro.2016.05.438 |
| Popis: | TRA 2016, European Research and Technology Conference on Transport and Mobility, VARSOVIE, POLOGNE, 18-/04/2016 - 21/04/2016; Recently, IFSTTAR has taken an interest in the use of probe vehicles for the road monitoring of some characteristics such as the pavement longitudinal profile. After studying the feasibility of the method on a metrological angle, a measurement chain and an automated data processing tool have been developed. The process begins with the data collection using low-cost sensors embedded in each probe vehicle and ends with the presentation to the road managers of the profile quality indicator matched on a map. Thereafter, this innovative pavement monitoring method has been tested with the deployment of a dozen of probe vehicles on a road network of about one thousand kilometers long. This article aims to present, in a first step, the different tools developed by IFSTTAR (data collection systems, map-matching algorithms, database format, etc.) and then, in a second step, to comment the results coming from the application of the pavement monitoring method on the road test network (level of accuracy, technological and scientific limits, opinion of the road manager, etc.). |
| Databáze: | OpenAIRE |
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