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Modeling diversion propensity at work zones

  • University of Florida

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

1 Scopus citations

Abstract

This study focuses on exploring drivers' diversion behaviors when encountering work zones on their travels. A stated preference survey was conducted to obtain the data on drivers' diversion propensity. By calibrating a binary logit model, we identified three major factors that influence drivers' diversion decisions, namely, travel time, work zone location and weather conditions. The model provides a better understanding on drivers' diversion behaviors at work zones and can be used to forecast diversion rates in work zone traffic studies. An Excel tool was developed based on the calibrated model for Florida Department of Transportation to help engineers determine a so-called "remaining traffic factor", an important factor in their work zone lane closure analyses.

Original languageEnglish
Title of host publicationICCTP 2011
Subtitle of host publicationTowards Sustainable Transportation Systems - Proceedings of the 11th International Conference of Chinese Transportation Professionals
Pages3997-4012
Number of pages16
DOIs
StatePublished - 2011
Event11th International Conference of Chinese Transportation Professionals: Towards Sustainable Transportation Systems, ICCTP 2011 - Nanjing, China
Duration: Aug 14 2011Aug 17 2011

Publication series

NameICCTP 2011: Towards Sustainable Transportation Systems - Proceedings of the 11th International Conference of Chinese Transportation Professionals

Conference

Conference11th International Conference of Chinese Transportation Professionals: Towards Sustainable Transportation Systems, ICCTP 2011
Country/TerritoryChina
CityNanjing
Period08/14/1108/17/11

Keywords

  • Driver behavior
  • Highways and roads
  • Workspace

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