Multi-Scale Analyses and Combining Forecasts for Traffic Volumes

Ming Lan Cao; Sheng Li Li; Dan Ying Gao

doi:10.4028/www.scientific.net/AMM.488-489.1405

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Green Design Methods for Mass Customization
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Study on the Measurement of Logistics Industry Cluster
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Basic Methods of Peak-Hour Traffic Generation Forecast about Urban Commercial Complex
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Multi-Scale Analyses and Combining Forecasts for Traffic Volumes
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Contents and Techniques Summery of Highway Safety Design Research
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Research on Optimization Decision of Urban Rail Transit Network Planning Scheme
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An Method to Urban Road Travel Time Estimation through ITS Data Fusion Based on D-S Evidential Theory
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Impaction of Travel Behavior and Degree of Business District Prosperity on Shopping
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 488-489Multi-Scale Analyses and Combining Forecasts for...

Multi-Scale Analyses and Combining Forecasts for Traffic Volumes

Abstract:

In view of that the current models are almost combining models of different kinds of forecast methods and the absence of substantial research on multi-scale combining in the context of traffic forecasts, we proposed a method that in multiple scales combines multiple forecasts based on prediction approaches of the same category. The method combines multi-scale analyses with exponential smoothing forecasting and its weights are assigned according to the performance of the various scales forecasts. Using four years actual data, we in two scales demonstrated it by forecasting annual traffic volumes for an expressway in China and the application verified its accuracy.