Simulation-based estimates of delays at freeway work zones

Steven I.Jy Chien, Dimitrios G. Goulias, Shmuel Yahalom, Shoaib M. Chowdhury

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

Work zone related traffic delay is an important cost component on freeways with maintenance activities. This study demonstrates that delays may be underestimated by using the deterministic queuing theory. Computer simulation is a valuable approach of estimating delay under a variety of existing and future conditions. However, a single simulation run, which can be quite costly in terms of both computer and analyst time, produces a delay estimate for only one traffic level under one set of conditions. A method is developed in this paper to approximate delays by integrating limited simulation data, obtained from CORSIM and the concept of deterministic queuing theory, while various geometric conditions and time-varying traffic distribution are considered. A calibrated and validated simulation model that can reflect work zone traffic operations on a segment of Interstate I-80 in New Jersey is used to generate data for developing the proposed model. The comparison of delays estimated by the deterministic queuing model and the proposed model is conducted, while factors affecting the accuracy of the delay estimates are discussed.

Original languageEnglish (US)
Pages (from-to)131-156
Number of pages26
JournalJournal of Advanced Transportation
Volume36
Issue number2
DOIs
StatePublished - Jan 1 2002

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Economics and Econometrics
  • Mechanical Engineering
  • Computer Science Applications
  • Strategy and Management

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