With the rapid evolution of telecommunication networks, real-time traffic management is becoming more and more crucial. We propose here a neural network modular architecture for performing diagnosis at different levels of the telephone network. This system is designed as an aid to the operator. We present results of different experiments with a first version of the architecture which mainly ope...

Traffic congestion is a major problem in urban areas that has a significant adverse economic impact through deterioration of mobility, safety and air quality. As a result, the importance of better management of the road network to efficiently utilize existing capacity is increasing. To that end, many urban areas build and operate modern Traffic Management Centers (TMCs), which perform several f...

Network Traffic Matrix (TM) prediction is defined as the problem of estimating future network traffic from the previous and achieved network traffic data. It is widely used in network planning, resource management and network security. Long Short-Term Memory (LSTM) is a specific recurrent neural network (RNN) architecture that is well-suited to learn from experience to classify, process and pre...

As the increase in use of computing devices such as computers, tablets and smart phones there is a huge demand for the fast-growing internet traffic. Distributed traffic management frame work has been proposed, in which routers are deployed with intelligent data rate controllers to tackle the high traffic level. The traffic control protocol is unique as other traffic control protocols have to e...

Virtual path management in dynamic networks poses a number of challenges related to combinatorial optimisation, fault and traffic handling. Ideally such management should react immediately on changes in the operational conditions, and be autonomous, inherently robust and distributed to ensure operational simplicity and network resilience. Swarm intelligence based self management is a candidate ...

Application-level traffic classification is an essential requirement for stable network operation and resource management. The payload signature-based classifier is considered a reliable method for Internet traffic classification. However, with this system, processing speeds are slower when high volumes of traffic are being classified in high-speed networks in real time. In this paper, we propo...

Peshawar is increasingly transforming into a city of congestion and traffic related problems due to growing number of vehicles coupled with lack of expansion in the existing road network and effective traffic management. This paper is aimed to study the status of growing traffic, its main causes and effects, road network analysis vis-à-vis the prevalent traffic management in the city. For this ...

The main objectives of traffic management in ATM networks are to protect the user and the network in order to achieve network performance objectives and to use the available resources in an efficient way. In order to achieve these objectives the profile of the cell stream of each connection needs to be described adequately by means of a set of traffic parameters, together with an indication of ...