Development and Evaluation of Methods for Constructing Breakdown Probability Models

作者：Kondyli Alexandra^*; Elefteriadou Lily; Brilon Werner; Hall Fred L; Persaud Bhagwant; Washburn Scott

来源：Journal of Transportation Engineering-ASCE, 2013, 139(9): 931-940.

DOI：10.1061/(ASCE)TE.1943-5436.0000574

• Traffic capacity
• Traffic congestion
• Stochastic models
• Probability distribution
• Traffic capacity
• Traffic congestion
• Stochastic models
• Probability distribution

The term breakdown of flow at a freeway bottleneck location has been used to describe the transition from relatively free-flowing traffic to congestion, often called stop-and-go traffic, but more generally experienced as slow-and-go. The focus of the research presented in this paper was to develop probabilistic models to predict breakdown of flow by using data from five freeway-ramp merging segments. The development of the probabilistic models allows exploration of several issues: the identification of breakdown, the performance measures for the identification of the breakdown, and the breakdown location. The breakdown probability model (BPM) is based on lifetime data analysis statistics. The breakdown probability models can be very useful tools in establishing capacity values, which in turn can be part of the freeway traffic management process.

• 出版日期2013-9-1