Communication networks are nowadays crucial in our lives and the study of its traffic features yields important advantages. In both network and traffic design the understanding of the relationship between the traffic on a node and its fluctuations plays a key role. In this paper we investigate the relationship between the mean traffic flow experienced by a node and its standard deviation via nu...

Vodafone proposes to offer road traffic information services to its mobile phone customers. Such systems usually require some sort of static infrastructure to measure traffic flow (e.g. magnetic inductance loops buried in the surface of the road, or cameras combined with number plate recognition technology). In contrast, Vodafone intends to generate traffic flow and velocity data by using the s...

With advent of Intelligent Transportation Systems (IST), it is required that the observation and control of traffic demand and flow be performed in real-time with more accuracy and reliability than before. In order to accelerate the traffic flow simulation the paper presents an algorithm for the decomposition of a mesoscopic traffic flow model for a parallel implementation on multiprocessor har...

Adaptive cruise control (ACC) systems are currently being developed by automotive manufacturers for highway vehicle automation [3],[4]. An ACC system enhances regular cruise control by using an on-board radar to maintain a desired spacing from a preceding vehicle that has been detected in the same lane on the highway. The firstgeneration ACC systems are currently available in Japan and Europe a...

Linking network flows is an important problem in the detection of stepping stone attacks as well as in compromising anonymity systems. Traffic analysis is an effective tool for linking flows, which works by correlating their communication patterns, e.g., their packet timings. To improve scalability and performance of this process, recent proposals suggest to perform traffic analysis in an activ...

We analyzed the non-Gaussian nature of network traffic using some Internet traffic data. We found that (1) the non-Gaussian nature degrades network performance, (2) it is caused by ‘greedy flows’ that exist with non-negligible probability, and (3) a large majority of ‘greedy flows’ are TCP flows having relatively small hop counts, which correspond to small round-trip times. We conclude that in ...

For the study of traffic flow, a number of factors for traffic flow is difficult to accurate description variables with specific parameters, but in similar circumstances, traffic flow volume change with approximately in the form of periodic changes, the development of change over time. Therefore, using the method of data fitting the traffic flow is forecast to be a more effective way to. In the...

The early recognition of potentially harmful traffic situations is an important goal of vision based driver assistance systems. Pedestrians, in particular children, are highly endangered in inner city traffic. Within the DaimlerChrysler UTA (Urban Traffic Assistance) project, we are using stereo vision and motion analysis in order to manage those situations. The flow/depth constraint combines b...