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原文传递 Quantifying travel time variability at a single bottleneck based on stochastic capacity and demand distributions
题名: Quantifying travel time variability at a single bottleneck based on stochastic capacity and demand distributions
其他题名: Bartin,B.,&Ozbay,K.(2008).Comparison of tolls with estimated full marginal costs:Theory meets reality.Transportation Research Board 87th Annual Meeting,number 0-990,Washington,DC.
正文语种: 英文
作者: Mingxin Li
关键词: bottleneck;stochastic capacity;stochastic demand;travel time variability
摘要: Travel time reliability, an essential factor in traveler route and departure time decisions, serves as an important quality of service measure for dynamic transportation systems. This article investigates a fundamental problem of quantifying travel time variability from its root sources: stochastic capacity and demand variations that follow commonly used log-normal distributions. A volume-to-capacity ratio-based travel time function and a point queue model are used to demonstrate how day-to-day travel time variability can be explained from the underlying demand and capacity variations. One important finding is that closed-form solutions can be derived to formulate travel time variations as a function of random demand/capacity distributions, but there are certain cases in which a closedform expression does not exist and numerical approximation methods are required. This article also uses probabilistic capacity reduction information to estimate time-dependent travel time variability distributions under conditions of non-recurring traffic congestion. The proposed models provide theoretically rigorous and practically useful tools for understanding the causes of travel time unreliability and evaluating the system-wide benefit of reducing demand and capacity variability.
出版年: 2017
论文唯一标识: J-96Y2017V21N02001
英文栏目名称: Articles
期刊名称: Journal of Intelligent Transportation Systems Technology Planning and Operations
拼音刊名(出版物代码): J-96
卷: 21
期: 02
页码: 79-93
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