UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

An empirical analysis of freeway traffic breakdown probability based on bivariate weibull distribution

Chow, AHF; Lu, XY; Qiu, TZ; (2009) An empirical analysis of freeway traffic breakdown probability based on bivariate weibull distribution. In: (pp. pp. 472-477).

Full text not available from this repository.

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. © 2009 IFAC.

Type: Proceedings paper
Title: An empirical analysis of freeway traffic breakdown probability based on bivariate weibull distribution
ISBN-13: 9783902661500
DOI: 10.3182/20090902-3-US-2007.0046
URI: http://discovery.ucl.ac.uk/id/eprint/141402
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item