Modeling a Hybrid Pavement Conditions Performance Framework for Botswana District Road Transportation Networks

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

Abstract

Road conditions performance modeling is required in order to predict the future conditions and provide information that can be applied to transportation planning, decision making processes and identification of future maintenance interventions. As extension of knowledge in existing gravel road condition models, improved artificial intelligent gravel road performance models which best capture the effects of gravel loss condition influencing factors were developed using feed forward neural network (FFNN) hybrid with a district GIS-based map using linear referencing approach to display gravel loss conditions as a threshold to trigger optimal maintenance interventions. The developed FFNN gravel loss condition (GVL) prediction model yielded R2 = 0.95 > 0.9 benchmark based on minimum MSE = 0.055 < 0.1. Threshold value = 3 (fair condition) was specified on the GIS map for triggering maintenance interventions when gravel road subgrade exposure due to gravel loss is between 10 - 25% as condition monitoring innovative tools.

Original languageEnglish
Title of host publicationAirfield and Highway Pavements 2017
Subtitle of host publicationDesign, Construction, Evaluation, and Management of Pavements - Proceedings of the International Conference on Highway Pavements and Airfield Technology 2017
EditorsHasan Ozer, Eileen M. Velez-Vega, Imad L. Al-Qadi, Scott Murrell
PublisherAmerican Society of Civil Engineers (ASCE)
Pages156-165
Number of pages10
ISBN (Electronic)9780784480922
DOIs
Publication statusPublished - 2017
EventInternational Conference on Highway Pavements and Airfield Technology 2017: Design, Construction, Evaluation, and Management of Pavements - Philadelphia, United States
Duration: Aug 27 2017Aug 30 2017

Publication series

NameAirfield and Highway Pavements 2017: Design, Construction, Evaluation, and Management of Pavements - Proceedings of the International Conference on Highway Pavements and Airfield Technology 2017
Volume2017-August

Conference

ConferenceInternational Conference on Highway Pavements and Airfield Technology 2017: Design, Construction, Evaluation, and Management of Pavements
CountryUnited States
CityPhiladelphia
Period8/27/178/30/17

All Science Journal Classification (ASJC) codes

  • Mechanics of Materials
  • Civil and Structural Engineering
  • Building and Construction

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  • Cite this

    Oladele, A. S. (2017). Modeling a Hybrid Pavement Conditions Performance Framework for Botswana District Road Transportation Networks. In H. Ozer, E. M. Velez-Vega, I. L. Al-Qadi, & S. Murrell (Eds.), Airfield and Highway Pavements 2017: Design, Construction, Evaluation, and Management of Pavements - Proceedings of the International Conference on Highway Pavements and Airfield Technology 2017 (pp. 156-165). (Airfield and Highway Pavements 2017: Design, Construction, Evaluation, and Management of Pavements - Proceedings of the International Conference on Highway Pavements and Airfield Technology 2017; Vol. 2017-August). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784480922.014