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Analysis of Freeway Traffic Speed by Power Spectral Density Methods
This report presents results of a study using a Maximum Entropy Spectral Analysis (MESA) approach to evaluate driver behavior as related to driving speed, taking into consideration heavy and light traffic conditions, rainy and dry weather conditions, impacts of traffic entering from ramps, and operating characteristics of various drivers. Three test sites were chosen in the Albany area. Test vehicle speed between two fixed points was recorded and transferred to spectral density functions. Impacts of traffic conditions, weather conditions, vehicles entering from ramps, and driver behavior can be identified from these spectral density characteristics. Basic concepts of MESA and results of the field experiments are discussed and presented in the appendix.
To better manage and control traffic on freeway entrance and exit ramps, the Federal Highway Administration (FHWA) has developed a comprehensive techn...
Merging locations are major sources of freeway bottlenecks and are therefore important for freeway operations analysis. Microscopic simulation tools h...
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