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The deployment of light emitting diodes (LEDs) based traffic system control created the problem of dim displays when ambient light is similar to traffic lights.
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This paper presents a simulation environment, designed for testing and evaluation of any fuzzy logic based traffic management system.
However, the existing video based traffic monitor systems do not interoperation and share mechanism to aggregate and cooperate the information as a whole.
The objective of this study is to develop fuzzy logic based traffic junction light simulator system for design and smart traffic junction light controller purposes and also to observe its performance.
We describe and evaluate the performance of two classes of hierarchical traffic models (Markovian and Lindenmayer-Systems based traffic models) that incorporate the notion of time scale using different approaches: indirectly in the model structure through a fitting of the second-order statistics, in the case of the Markovian models, or directly, in the case of the Lindenmayer-Systems based models.
At the FAA, promoted the use of satellite based air traffic systems to modernize air traffic control and improve safety in the U.S. and abroad, and was instrumental in spearheading FAA's legal strategy in protracted labor negotiations with air traffic controllers.
The intelligent traffic system based on intervehicle communication networks and grid technology is proposed.
Such talk fuels critics who say that the only way to end the gridlock in the skies is to junk the F.A.A. -- or junk the economics on which its management of the air traffic system is based.
Based on the existing video-based traffic detecting system, authors [17] present a new solution to segmentation of vehicles from the background, in order to improve the processing speed, the performance during a traffic jam, etc.
Modernizing the nation's current air traffic system, which is based on technology invented during World War II, is universally seen as critical to coping with the congested airspace over the United States and to accommodate growing traffic.
In this work, we present a novel fully automated packet payload content (PPC) based network traffic classification system that addresses the above shortcomings.
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