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• W1542772568 abstract "Travel times at urban networks are in large part determined by the delay that drivers experience at signalized intersections. This thesis describes the process made in the computerized modeling of queues and delays at traffic signals. The author focuses on the limitations of these models in describing the stochastic and dynamic behavior of these service systems. The author began with the renewal theory of Markov chains, then developed and integrated within this modeling framework a probabilistic formulation for the queue behavior within each cycle of the traffic signal. The model thus deals with queues using a continuous time approach and describes the effect of the variability of the arrivals in the service time process. This model is designed to be flexible enough to be used in more sophisticated situations, such as paired intersections, multiple service points, and demand-responsive signals. The author concludes that this newly-developed model offers important contributions in three areas: planning and design problems, traffic flow estimation problems, and short term travel time prediction problems. Three appendices to the thesis cover Markov chains, the travelers' response to uncertainty, and lane changing behavior in multilane sections of roadway." @default.
• W1542772568 created "2016-06-24" @default.
• W1542772568 creator A5042705900 @default.
• W1542772568 date "2006-11-13" @default.
• W1542772568 modified "2023-09-26" @default.
• W1542772568 title "The dynamics and the uncertainty of delays at signals" @default.
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