摘要: |
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 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 other dramatic climate event)-or to guide upcoming Laser surveys. |