When monitoring network traffic, a flow measurement approach can provide the advantage of data reduction in near real-time. RTFM, the IETF’s standard, generalised architecture for measuring traffic flows, and NeTraMet, an open-source implementation of that architecture, are introduced. The results of a NeTraMet usage survey are presented, together with a detailed description of the NeTraMet com...

Traffic flow micro simulations are popular for the planning of transport problems due to their temporal and spatial resolution. Cellular automata (CA) model are mathematical idealizations of physical systems in which space and time are discrete, and physical quantities take on a finite set of discrete values .In this paper , we are exploring the usefulness of CA to traffic flow modeling. A CA m...

This study proposes an architecture for an interactive motion-based traffic simulation environment. In order to enhance modeling realism involving actual human beings, the proposed architecture integrates multiple types of simulation, including: (i) motion-based driving simulation, (ii) pedestrian simulation, (iii) motorcycling and bicycling simulation, and (iv) traffic flow simulation. The arc...

When freeway traffic flow approaches capacity, minor disturbances or perturbations can cause unstable traffic streams to break down into queued or bottleneck conditions with the accompanying heavy congestion costs. As the traffic volume at which flow breaks down is uncertain, this research utilizes a stochastic capacity model to estimate congestion costs in terms of delays, fuel, and emissions....

In this paper, we show anew image sensor for measuring traffic flow. The image sensor is set at an intersection. The image sensor measures t r af f i c flow by vehicle tracking. The tracking is done by gray level pattern matching. Gray level pattern matching is suitable for outdoor use since it is robust against change of scene brightness. Then we provide the hardware for high speed gray level ...

203 words) In ITS (Intelligent Transportation System) equipped urban transportation systems noncritical junctions are often ignored in short-term traffic condition prediction algorithms as the traffic data collection systems in these junctions are not adequate. The paper proposes a shortterm traffic volume model based on a combination of discrete wavelet transform (DWT) and Bayesian hierarchica...

Traffic classification is a very important mathematical and statistical tool in communications and computer networking, which is used to find average and statistical information of the traffic passing through certain pipe or hub. The results achieved from a proper deployment of a traffic analysis method provide valuable insights, including: how busy a link is, the average end-toend delays, and ...