瓶颈
概率逻辑
公路通行能力手册
运输工程
交通量
统计模型
流量(计算机网络)
算法的概率分析
计算机科学
环境科学
工程类
服务水平
机器学习
计算机安全
嵌入式系统
人工智能
作者
Matt R. Lorenz,Lily Elefteriadou
摘要
The need for an enhanced freeway capacity definition that incorporates the probabilistic nature of the freeway breakdown process is addressed. This is investigated through an extensive analysis of speed and volume data collected at two freeway bottleneck sites in Toronto, Ontario, Canada. At each site, the freeway breakdown process was examined in detail for more than 40 congestion events occurring during the course of nearly 20 days. Preliminary models were developed for each site. These models are used to describe the probability of breakdown versus the observed flow rate and to examine 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.
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