This paper presents the method to estimate the traffic flow on the urban roadway by using car’s on-dashboard camera image. The system described, shows something new which utilizes only road traffic photo images to get the information about urban roadway traffic flow automatically. Keywords—traffic flow estimation; on-dashboard camera; computer vision.

The present paper studies simulation of traffic flow in urban environment, microscopic traffic flow simulation models of street’ crossroads are made. The behaviour of cellular automata (CA) models is analyzed by means of such as indexes queue lengths at crossroads with traffic signals, flow rates, average velocities on different roads. The following indicators characterize traffic situations in...

Tactical communication network environment is different to the civil mobile adhoc network. It is of special connectivity, traffic flow characteristic and mobility. Its traffic flow model is the foundation for adhoc network designing, planning, controlling and managing. Each characteristic can be depicted correctly only when the model is accuracy. This thesis studied the traffic flow characteris...

A traffic flow is one of the main transportation issues in nowadays industrialized agglomerations. Configuration of traffic lights is among the key aspects in traffic flow management. This paper proposes an evolutionary optimization tool that utilizes multiagent simulator in order to obtain accurate model. Even though more detailed studies are still necessary, a preliminary research gives an ex...

In the densely populated urban area traffic control system is the main mechanism to control the flow of vehicular traffic at the intersection. Conventional traffic control system are not capable of handling dynamic vehicular flow. This dynamic vehicular flow creates traffic jams , congestion at the intersection. Vehicular Ad hoc Network (VANET) is a common part of Intelligent Transport System (...

Short-term traffic flow is difficult to predict because of high uncertainty. This paper proposes a short-term traffic forecast algorithm based on cloud similarity. By taking advantage of quantitative and qualitative cloud model mutual conversion function and traffic flow predictability, the historical traffic data can be processed with cloud transformation. Set the current traffic cloud as a st...

Prior studies of Internet traffic have considered traffic at different resolutions and time scales: packets and flows for hours or days, aggregate packet statistics for days or weeks, and hourly trends for months. However, little is known about the long-term behavior of individual flows. In this paper, we study individual flows (as defined by the 5-tuple of protocol, source and destination IP a...

In this paper, we develop an analytical approach to planning air traffic flow management (TFM) strategies under uncertain weather. To do that, we model the dynamics of an air traffic flow under uncertain weather as a discrete jump-linear system, which enacts the tracking of transient traffic congestion statistics. We then conduct a sensitivity analysis of traffic congestion to disturbances intr...