The prediction and modelling of traffic flow is one of the future challenges. Although larger cities own traffic control centres with several traffic computers and hundreds of intersection controllers the potential to optimise the flow is rarely used. In a co-operation between the municipal authority and the university of Duisburg we developed a simulation tool to generate an actual traffic flo...

Measurement and analysis of traffic traces are important for better understanding of network behaviour. In this research, we collected traffic traces from a hybrid satelliteterrestrial network operated by Chinasat, a commercial satellite Internet service provider. We performed traffic analysis on packet, connection, protocol, and application layers. We investigated self-similar and long-range d...

Network traffic is a typical time-series data with strong lag and aftereffect, for the existence of local optimum, time-consuming and other defects in the method for the currently determining number of lags, this paper presents a combination of network traffic prediction method (GS-GA-LSSVM). At first, using geo-statistics (GS) to quickly determine the optimal lag order of network traffic, then...

In this paper, a new scheme is developed for optimal location area design in wireless systems. New algorithms based on intercell traffic prediction and traffic-based cell grouping are used to select the optimal set of cells for location areas (LAs). The expected intercell movement patterns of mobiles are determined by using the new intercell traffic prediction algorithm. Further, the cells are ...

Traffic Management and Information Systems, which rely on a system of sensors, aim to describe in real-time traffic in urban areas using a set of parameters and estimating them. Though the state of the art focuses on data analysis, little is done in the sense of prediction. In this paper, we describe a machine learning system for traffic flow management and control for a prediction of traffic f...

Security problems with network are significant, such as network failures and malicious attacks. Monitoring network traffic and detect anomalies of network traffic is one of the effective manner to ensure network security. In this paper, we propose a hybrid method for network traffic prediction and anomaly detection. Specifically, the original network traffic data is decomposed into high-frequen...

An accurate foot traffic prediction system can help retail businesses, physical stores, and restaurants optimize their labor schedule and costs, and reduce food wastage. In this paper, we design a large scale data collection and prediction system for store foot traffic. Our data has been collected from wireless access points deployed at over 100 businesses across the United States for a period ...

Large swings in the demand for content are commonplace within the Internet. To service this demand adequately without over-provisioning requires that the number of servers processing requests be adjusted dynamically with the demand. Since such adjustments require negotiation and the transfer of data across a distributed network, there is a time lag between the decision to adjust and the availab...

<span lang="EN-US">Traffic congestion prediction is one of the essential components intelligent transport systems (ITS). This due to rapid growth population and, consequently, high number vehicles in cities. Nowadays, problem traffic attracts more and attention from researchers field ITS. Traffic can be predicted advance by analyzing flow data. In this article, we used machine learning al...