Every city in the downtown areas around world faces a major problem due to heavy traffic, especially during peak hours. Traditional traffic signals used manging allots fixed time for managing junction of four way or two-way crossroads and cannot adjust account changes traffic. The proposed system provides scheduled crossing that is automatically adjusted based on A long green light assigned usi...

Traffic modeling and classification finds importance in many areas such as bandwidth management, traffic analysis, traffic prediction, network planning, Quality of Service provisioning and anomalous traffic detection. Network traffic exhibits some statistically invariant properties. Earlier works show that it is possible to identify traffic based on its statistical characteristics. In this pape...

Network traffic classification is extensively required mainly for many network management tasks such as flow prioritization, traffic shaping/policing, and diagnostic monitoring. Similar to network management tasks, many network engineering problems such as workload characterization and modeling, capacity planning, and route provisioning also benefit from accurate identification of network traff...

short-term traffic flow forecasting plays a significant role in the intelligent transportation systems (its), especially for the traffic signal control and the transportation planning research. two mainly problems restrict the forecasting of urban freeway traffic parameters. one is the freeway traffic changes non-regularly under the heterogeneous traffic conditions, and the other is the success...

Well-known port numbers can no longer be used to reliably identify network applications. There is a variety of new Internet applications that either do not use well-known port numbers or use other protocols, such as HTTP, as wrappers in order to go through firewalls without being blocked. One consequence of this is that a simple inspection of the port numbers used by flows may lead to the inacc...

As traffic volumes increase on major intersecting arterials, the transportation engineer’s challenge is one of optimizing through traffic while providing adequate opportunities for leftturning vehicles. Increasing traffic volumes not only provide a proportionately higher number of leftturning vehicles, but also make it more difficult to negotiate a left turn due to increased opposing traffic. T...

Traffic analysis and traffic abnormality detection are emerged as an efficient way of detecting network attacks in recent years. The existing approaches can be improved by introducing a new model and a new analysis method of network user’s traffic behaviors. The description dimensions to network user’s traffic behaviors in the current approaches are high, resulting in high processing complexity...