Innovative work zone capacity models from nationwide field and archival sources

Chunho Yeom, Ali Hajbabaie, Bastian J. Schroeder, Christopher Vaughan, Xingyu Xuan, Nagui M. Rouphail

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


Freeway work zone capacity has been the focus of significant research, but most studies were limited to specific geographic regions or work zone configurations or both. To date, no work zone predictive capacity model exists for U.S. freeways that is based on a geographically representative data set or sensitive to key geometric and operational attributes of the work zone. This paper proposes a new capacity model for freeway work zones, developed from nationwide field data fused with data obtained from an in-depth review of archived literature of prior work zone capacity studies in the United States. The proposed model estimates work zone capacity as a function of the lane closure severity index, barrier type, area type, lateral clearances, and daytime or nighttime work conditions. The model was successfully validated with 25% of the combined data that were not used for the model development. In addition, findings from literature archives suggested a 13.4% difference between prebreakdown, uninterrupted capacity and the ensuing queue discharge rate. The developed capacity model is intended to be incorporated into the next release of the Highway Capacity Manual and provides important insights on the relative effects of work zone configuration and other variables on the expected capacity of freeway work zones.

Original languageEnglish
Pages (from-to)51-60
Number of pages10
JournalTransportation Research Record
StatePublished - 2015


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