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- W2317373558 abstract "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 closed-form 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." @default.
- W2317373558 created "2016-06-24" @default.
- W2317373558 creator A5036625572 @default.
- W2317373558 creator A5047902154 @default.
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- W2317373558 date "2016-03-16" @default.
- W2317373558 modified "2023-10-15" @default.
- W2317373558 title "Quantifying travel time variability at a single bottleneck based on stochastic capacity and demand distributions" @default.
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- W2317373558 doi "https://doi.org/10.1080/15472450.2016.1163639" @default.
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