An Empirical Analysis of Freeway Traffic Breakdown Probability Based on Bivariate Weibull Distribution

Andy H. F. Chow, Xiao-Yun Lu, Tony Z. Qiu

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

6 Citations (Scopus)

Abstract

From an operation viewpoint, traffic breakdown from free-flow was defined as when the average speed of traffic drops below a certain threshold. It is known that traffic breakdown is a stochastic phenomenon which can happen even when the traffic flow is below the capacity. This study investigates the probability of breakdown at freeway bottlenecks. A bivariate Weibull distribution is adopted to model the probability of breakdown as a function of the combination of mean speed and occupancy of the incoming traffic. A case study with data collected from a section of I-80W Freeway in West Berkeley, California is carried out to test the performance of the methodology. Empirical results are derived and their implications on designing traffic control strategies are discussed. The outcome of this study is useful for developing various control strategies including Variable Speed Limit (VSL) and ramp metering.
Original languageEnglish
Title of host publicationProceedings of the 12th IFAC Symposium on Transportation Systems
Pages472-477
DOIs
Publication statusPublished - Sept 2009
Externally publishedYes
Event12th IFAC Symposium on Transpotaton Systems, CTS'09 - Crowne Plaza Hotel, Redondo Beach, United States
Duration: 2 Sept 20094 Sept 2009

Publication series

Name
ISSN (Print)1474-6670

Conference

Conference12th IFAC Symposium on Transpotaton Systems, CTS'09
PlaceUnited States
CityRedondo Beach
Period2/09/094/09/09

Research Keywords

  • Highway traffic control
  • Ramp metering
  • Speed limit control
  • Traffic breakdown
  • Weibull distribution

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