Estimating pavement performance models using advanced technologies and time series analysis

Chih Yuan Chu*, Pablo Luis Durango-Cohen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose state-space specifications of autoregressive moving average models and structural time series models as a framework to develop and estimate performance models for transportation infrastructure facilities. Time series models in state-space form fit the maintenance optimization model of Durango-Cohen and are consistent with the latent performance modeling approach of Ben-Aldva and Ramaswamy. To illustrate the proposed framework we develop and estimate performance models for an asphalt pavement using pressure and deflection measurements generated by sensors and falling weight deflectometers, respectively. Analysis of the results shows that the ensuing models are consistent with physical properties of flexible pavements. The results also indicate that state-dependence may be statistically significant and further reinforces the computational and statistical advantages of the proposed framework over Markovian transition probabilities. Copyright ASCE 2006.

Original languageEnglish (US)
Title of host publicationApplications of Advanced Technology in Transportation - Proceedings of the Ninth International Conference on Applications of Advanced Technology in Transportation
Pages25-30
Number of pages6
DOIs
StatePublished - Dec 1 2006
EventApplications of Advanced Technology in Transportation - Proceedings of the Ninth International Conference on Applications of Advanced Technology in Transportation - Chicago, IL, United States
Duration: Aug 13 2006Aug 16 2006

Other

OtherApplications of Advanced Technology in Transportation - Proceedings of the Ninth International Conference on Applications of Advanced Technology in Transportation
CountryUnited States
CityChicago, IL
Period8/13/068/16/06

ASJC Scopus subject areas

  • Computer Science Applications
  • Automotive Engineering
  • Mechanical Engineering

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