The basic principle of optimal traffic control is the appropriate real-time response to dynamic traffic flow changes. Signal plan efficiency depends on a large number of input parameters. An actuated signal system can adjust very well to traffic conditions, but cannot fully adjust to stochastic traffic volume oscillation. Due to the complexity of the problem analytical methods are not applicabl...

Soft state protocols use periodic refresh messages to keep network state alive while adapting to changing network conditions; this has raised concerns regarding the scalability of protocols that use the soft-state approach. In existing soft state protocols, the values of the timers that control the sending of these messages, and the timers for aging out state, are chosen by matching empirical o...

The Robust and reliable traffic information detection from images acquired by traffic surveillance system is an important problem with numerous applications including adaptive traffic signal control system and traffic analysis system. This paper describes an application of computer vision techniques to traffic surveillance. The objective in this paper is to improve the efficiency of traffic flo...

Active traffic management aims to dynamically manage congestion based on existing and predicted traffic conditions. A challenge in this is that it is not usually possible to process data in real-time and use the output in control algorithms or in traveler information systems. A solution to this is to predict the traffic state based on assessments of current and past measurements. The work descr...

The current study predicts the future course of ships passing through İstanbul Strait. In this direction, considering that world economy is biggest factor in demand for maritime transport, relationship between GDPs and trade volumes Black Sea states, ship traffic analyzed using regression estimation two separate models. included countries are Bulgaria, Georgia, Romania, Russia, Turkey Ukraine. ...