With the enrichment of perception methods, modern transportation system has many physical objects whose states are influenced by many information factors so that it is a typical Cyber-Physical System (CPS). Thus, the traffic information is generally multi-sourced, heterogeneous and hierarchical. Existing research results show that the multisourced traffic information through accurate classifica...

Forecasting with high accuracy the volume of data traffic that mobile users will consume is becoming increasingly important for precision traffic engineering, demand-aware network resource allocation, as well as public transportation. Measurements collection in dense urban deployments is however complex and expensive, and the post-processing required to make predictions is highly non-trivial, g...

This paper presents a prediction algorithm for estimating the upper bound of future Web traffic volume. Unlike traditional traffic predictions that are performed at a single time scale using curve fitting, we employ a multiple time scale approach and utilize traffic statistical properties to do forecasting. We have applied our prediction algorithm to the 1998 World Cup data set. Experiments sho...

Based on the analysis of vehicles total number growth rates, which exceed rates expansion and optimization transport infrastructure, need for introduction real-time traffic forecasting control systems is shown. The factors that make it possible to detect probability potentially dangerous situations road, such as jams, accidents lack parking spaces, respectively, in certain urban areas, based da...

In this paper, a forecasting-based dynamic virtual channel allocation technique for reducing the power consumption of network on chips is introduced. Based on the network traffic as well as past link and total virtual channel utilizations, the technique dynamically forecasts the number of virtual channels that should be active. It is based on an exponential smoothing forecasting method that fil...