Automated Collection of Road Condition Data with Smartphones

This paper focus on three questions: 1) How accurate is it, 2) how to collect data and 3) what’s the benefits? The abstract focus on maintenance needs – as its where most money directly can be saved. The accuracy was traced in a correlation study where data from Laser International Roughness Index (IRI) surveys and Roadroid was compared. It shows a possibility to reach R2>0.85, but also that the correlation is depending on speed and road types. It is fully possible to reach correlations over R2 0.75 in production. IRI is currently often collected through yearly surveys. With a standard car and a smartphone the data collect options broadens. The best options is considered as: a) the operational maintenance vehicles and b) rural post- and newspaper delivery vehicles. Crowdsourcing is not considered as a good option. For low volume roads (including unpaved roads) Roadroid means a simple, robust and objective monitoring. Smartphones can make a great change here to develop the maintenance methods. For high-end roads smartphones benefits in Performance Based Maintenance (PBM) with new Key Performance Indicators (KPI) as you can get daily IRI data. And you can update pavement plans after a winter and spring thaw – or to guide upcoming Laser surveys.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Illustrations; Maps; Photos; References; Tables;
  • Pagination: 20p
  • Monograph Title: Proceedings of the 25th World Road Congress - Seoul 2015: Roads and Mobility - Creating New Value from Transport

Subject/Index Terms

Filing Info

  • Accession Number: 01710478
  • Record Type: Publication
  • ISBN: 9782840604235
  • Files: TRIS
  • Created Date: Jun 26 2019 10:01AM