Spatiotemporal impact assessments of highway construction: autonomous SWAT modeling

Kunhee Choi, Junseo Bae

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the United States, the completion of Construction Work Zone (CWZ) impact assessments for all federally-funded highway infrastructure improvement projects is mandated, yet it is regarded as a daunting task for state transportation agencies, due to a lack of standardized analytical methods for developing sounder Transportation Management Plans (TMPs). To circumvent these issues, this study aims to create a spatiotemporal modeling framework, dubbed "SWAT" (Spatiotemporal Work zone Assessment for TMPs). This study drew a total of 43,795 traffic sensor reading data collected from heavily trafficked highways in U.S. metropolitan areas. A multilevel-cluster-driven analysis characterized traffic patterns, while being verified using a measurement system analysis. An artificial neural networks model was created to predict potential 24/7 traffic demand automatically, and its predictive power was statistically validated. It is proposed that the predicted traffic patterns will be then incorporated into a what-if scenario analysis that evaluates the impact of numerous alternative construction plans. This study will yield a breakthrough in automating CWZ impact assessments with the first view of a systematic estimation method.
Original languageEnglish
Title of host publicationProceedings of the 6th international conference on construction, engineering and project management
EditorsBonsang Koo, Youngsoo Jung, Leen-Seok Kang
PublisherKorea Institute of Construction Engineering and Management
Pages294-298
Number of pages5
Volume6
ISBN (Print)9788995457269
Publication statusPublished - 31 Oct 2015
EventThe 6th International Conference on Construction Engineering and Project Management - Busan, Korea, Republic of
Duration: 11 Oct 201514 Oct 2015

Conference

ConferenceThe 6th International Conference on Construction Engineering and Project Management
Abbreviated titleICCEPM-2015
Country/TerritoryKorea, Republic of
CityBusan
Period11/10/1514/10/15

Keywords

  • spatiotemporal modeling framework
  • transportation infrastructure improvement
  • construction work zone impact assessments
  • traffic demand prediction

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