A comparison of freeway work zone capacity prediction models

Nan Zheng, Andreas Hegyi, Serge Hoogendoorn, Henk Van Zuylen, David Peters

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

7 Citations (Scopus)


To keep the freeway networks in a good condition, road works such as maintenance and reconstruction are carried out regularly. The resulting work zones including the related traffic management measures, give different traffic capacities of the infrastructures, which determines the travel time for road users. A work zone capacity prediction model therefore is highly needed to evaluate mobility. Considering the work zone capacity as a function of work zone configurations, different prediction models have been developed in the past. The conventional models assume a linear relationship between the capacity of a work zone and its configuration variables. Recent artificial intelligence models are more flexible in constructing nonlinear relationships, but the accuracy of the models is not suffiently tested. This research gives a comparison study of the existing models. Firstly, a selection of the critical work zone configuration variables is shortly discussed. Then three currently used prediction models are introduced, namely the model in the Highway Capacity Manual (2000), two multi-linear regression models, and a fuzzy logic based artificial neural network model. These models are tested for Dutch cases. Results show that comparing to the widely-applied linear regression models, the neuro-fuzzy model has the highest average accuracy and the prediction error can be reduced as large as 20%. The neuro-fuzzy model is recommended to serve in practice, as the choice of work zone configuration and the corresponding traffic measures can be made based on the capacity calculation.

Original languageEnglish
Title of host publicationProcedia - Social and Behavioral Sciences
Number of pages11
Publication statusPublished - 2011
Externally publishedYes
Eventnternational Symposium on Highway Capacity and Quality of Service 2011 - Stockholm, Sweden
Duration: 28 Jun 20113 Jul 2011
Conference number: 6th


Conferencenternational Symposium on Highway Capacity and Quality of Service 2011


  • Capacity prediction
  • Traffic management
  • Work zone capacity
  • Work zone configuration

Cite this

Zheng, N., Hegyi, A., Hoogendoorn, S., Van Zuylen, H., & Peters, D. (2011). A comparison of freeway work zone capacity prediction models. In Procedia - Social and Behavioral Sciences (Vol. 16, pp. 419-429). Elsevier. https://doi.org/10.1016/j.sbspro.2011.04.463