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- W1986529982 abstract "This paper formulates a scenario-based stochastic programming model to optimize the timing of pretimed signals along arterials under day-to-day demand variations or future uncertain traffic growth. Demand scenarios and their corresponding probabilities of occurrence are introduced to represent the demand uncertainty. On the basis of a cell-transmission representation of traffic dynamics, cycle length, green splits, phase sequences, and offsets are determined to minimize the expected delay incurred by high-consequence demand scenarios. A simulation-based genetic algorithm is proposed to solve the model, and a numerical example is presented to verify and validate the model." @default.
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- W1986529982 date "2010-01-01" @default.
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- W1986529982 title "Robust Signal Timing for Arterials under Day-to-Day Demand Variations" @default.
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- W1986529982 doi "https://doi.org/10.3141/2192-15" @default.
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