A methodology for calculating congested traffic characteristic loading on long-span bridges using site-specific data

Alessandro Lipari, Colin C. Caprani, Eugene J. OBrien

Research output: Contribution to journalArticleResearchpeer-review

6 Citations (Scopus)


A probabilistic methodology is developed for the evaluation of characteristic maximum traffic load on long-span bridges for which congestion is the governing condition. It considers all the congestion types that can occur such as stop-and-go waves and oscillating congested traffic. The approach uses site-specific traffic data, such as flow and incident data. Statistics on driver behaviour and traffic incident frequency are assembled from the literature. As an example application of the method, a calibrated traffic microsimulation model is used to obtain the input data for the proposed methodology. The results counter many of the prevailing assumptions for long-span bridge loading.

Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalComputers and Structures
Publication statusPublished - 1 Oct 2017


  • Bridge
  • Loading
  • Long-span
  • Microsimulation
  • Probabilistic models
  • Traffic

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