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A PROBABILISTIC APPROACH TO DEFINING FREEWAY CAPACITY AND BREAKDOWN.
| 题名： | A PROBABILISTIC APPROACH TO DEFINING FREEWAY CAPACITY AND BREAKDOWN. |
| 作者： | Lorenz-M; Elefteriadou-L |
| 关键词： | Bottlenecks-; Definitions-; Field-data; Freeways-; Highway-Capacity-Manual; Highway-capacity; Mathematical-models; Probability-; Toronto-Canada; Traffic-congestion; Traffic-flow-rate; Traffic-speed; Traffic-volume |
| 摘要： | This paper addresses the need for an enhanced freeway capacity definition that incorporates the probabilistic nature of the freeway breakdown process. It consists of an extensive analysis of speed and volume data collected at two freeway bottleneck sites in Toronto, Canada. At each site, the freeway breakdown process was examined in detail for over 40 congestion events occurring during the course of nearly 20 days. The paper develops preliminary models for each site describing the probability of breakdown versus observed flow rate and examines the implications that this probabilistic approach to breakdown has on the current definition of freeway capacity. A revised, probabilistic freeway capacity definition is proposed for use in future editions of the "Highway Capacity Manual.". |
| 总页数： | Conference Title: Fourth International Symposium on Highway Capacity. Location: Maui, Hawaii. Sponsored by: Transportation Research Board. Held: 20000627-20000701. Transportation Research Circular. 2000/06. pp84-95 (6 Fig., Refs.) |
| 报告类型： | 科技报告 |
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