This paper develops parametric methods to detect network anomalies using only aggregate traffic statistics in contrast to other works requiring flow separation, even when the anomaly is a small fraction of the total traffic. By adopting simple statistical models for anomalous and background traffic in the time-domain, one can estimate model parameters in realtime, thus obviating the need for a ...

With the number of vehicle increasing, urban traffic congestion became more serious. This paper focused on the architecture layer of the proposed dynamic hybrid fuzzy logic control system, which divided into three main parts: The proposed algorithm (Dynamic Webster with dynamic Cycle Time), Accident Detection System using fuzzy logic theory and Action System depending on Detection System. It co...

Timely traffic prediction is important in advanced traffic management systems. Observing traffic flow, we find repetitive or regular behavior over time. By taking advantage of tools in frequency domain analysis, this paper proposes a new criterion function that can detect the onset of congestion. It is found that the changing rate of the cross-correlation between density dynamics and flow rate ...

In a visual driver-assistance system, road sign detection and tracking is one of the major tasks. This study describes an approach to detecting and tracking road signs appearing in complex traffic scenes. In the detecting phase, two neural networks are developed to extract color and shape features of traffic signs, respectively, from the input scene images. Traffic signs are then located in the...

regulations of use of social networks, as one of the key components in these networks, serve an important role in controlling the flow of traffic. the study of the harmonization of these terms and regulations can be a significant step to avoid congestion and (users’) rejection in the network. harmonization of traffic control regulations (tcr) among social networks is one of the best solutions...

----Every day around the world, a large percentage of people die from traffic accident injuries. An effective approach for reducing traffic fatalities is: first building automatic traffic accident detection system, second, reducing the time between when an accident occurs and when first emergency responders are dispatched to the scene of the accident. Recent approaches are using built-in vehicl...

Traffic flow systems are nonlinear and uncertain, so it is very difficult to find their optimal points. In traditional traffic control systems, the traffic lights of crossings change in a fixed time period that is not optimal. On the other hand, most proposed systems are sufficiently capable of coping with the uncertainties of traffic flow. To solve this problem, there is a need to develop expe...

Background: Given that a significant part of deaths due to traffic accidents are preventable in the prehospital phase, so it seems necessary to have an instrument to identify and measure the factors affecting it. This study aimed to develop and psychometrically assess an instrument for measuring preventable prehospital mortality due to traffic accidents. Methods: The study is a mixed qualitati...

This project is the extension of a Northland Advanced Transportation System Research Laboratory (NATSRL) FY09 project, titled as " Intelligent Pavement for Traffic Flow Detection " , which aims to explore a new approach in detecting vehicles on a roadway by making a roadway section as a traffic flow detector. Sections of a given roadway are paved with carbon-nanotube (CNT) enhanced pavement; th...