Purpose: An Intelligent Transportation System (ITS) must be able to predict traffic speed for short time intervals into … is to improve the social impact of transportation by reducing such negative consequences. Traffic speed prediction is one … an ITS for near real-time computations. Such an application requires a model capable of quickly forecasting traffic speed …

Purpose: An Intelligent Transportation System (ITS) must be able to predict traffic speed for short time intervals into … is to improve the social impact of transportation by reducing such negative consequences. Traffic speed prediction is one … an ITS for near real-time computations. Such an application requires a model capable of quickly forecasting traffic speed …

. However, traditional approaches may offer a poor performance in removing noisy data and minimizing deviation of traffic speed … two traffic speed estimation approaches. …

application of the method. In this article we have studied the impact of weather conditions on traffic speed on low traffic roads …—the impact of the weather indicators temperature, wind speed, and precipitation on traffic speed has been quantified. The data … speed, increase in precipitation and temperatures around freezing point all caused significant decrease in traffic speed in …

Multifractal behavior is found in traffic speed time series and mostly measured around the concept of Legendre … distributions. In this article, we illustrate the large deviations spectrum on both artificial and traffic speed time series, and … conducted to quantify the presence or absence of scale invariant phenomenon in the study of traffic speed signals. …