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- W1715765466 abstract "Computation of traffic management is dependent upon a model, which determines the headway of vehicles in the intersection upon a green signal go - this is called a departure model. Hitherto used models have been based solely on individual observations and quest for an appropriate artificial function, which would respect these observations. However, such models turn out to be inaccurate and their application in transportation management is problematic - they are only applicable for those intersections, on which the data was collected at a given time, without relationship to other variables impacting departure of vehicles (such as geometrical order, departure direction, road angle etc.).The article describes a lay out of a departure model by creating a new complex mathematical apparatus. The proposed solution stems from a special type of multidimensional regression model, which will be further extended to model of mixture distribution and its estimate, where each component of the model will reflect specific properties of the location of the intersection. Such departure model should produce higher accuracy of prediction of departure times compared to currently used models and should be adaptable to time and location of its application." @default.
- W1715765466 created "2016-06-24" @default.
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- W1715765466 date "2010-07-22" @default.
- W1715765466 modified "2023-09-27" @default.
- W1715765466 title "Application of model of distribution mixture for departure of vehicles from a light controlled intersection" @default.
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