The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Because of the highly nonlinear of the Traffic flow prediction, it is very difficult to build its model. In this paper an algorithm which is based on fuzzy time series forecasting, is used to overcome the difficulty. And we use Coil-based virtual video detectors detect the traffic flow as a input of fuzzy time series prediction, this can make the historical data collection faster and more accurate...
The control of traffic trunk road is one of important researches of intelligence transportation system. Based on the related knowledge of wavelet analysis and fuzzy neural network, the hierarchical fuzzy wavelet neural network control algorithm is proposed. The first layer is control level that cycle and green ratio of each direction are calculated based on fuzzy wavelet neural network forecasting...
Currently, intelligent transportation system has been becoming the focus of the society. The video traffic detection system discussed in the paper plays an important part in the ITS, and the image processing technique is used in this system to obtain all the information that is needed in the traffic signal control. On the basis of a new fuzzy control method, the article analyses the problem of traffic...
The intelligent transportation is one of current scientific research hot spots. This article takes the fuzzy control as a foundation, analyzes the problem of intersection traffic signal control, proposes the multiple phase fuzzy control algorithm of intersection signal period and the design of fuzzy controller. It takes motorcade's length and the next phase difference of motorcade length as the fuzzy...
Combing the traffic flows distribution of intersections in intelligent transportation system, the vehicle queues of the controlled phase and the neighboring phases, this paper proposes a multiphase adaptive fuzzy control algorithm and a designing scheme, and develops the adaptive algorithm of the fuzzy controller to modify the fuzzy rules in real-time and decides the allocation of green time, finally...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.