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.
This study creates an abnormal traffic status alarming method based on the neural architecture. The paper introduces the three layer BP (Back Propagation) neural network structure including the input layer, the hidden layer and the output layer. Each layer of the network will receive the input information from the upper layer of the network after which the crunodes will change the information by means...
This paper introduces the abnormal traffic incident dynamic forewarning core model based on the neural network. And then the calculate steps are presented in detail. Finally, there are several real examples on demonstrating the effectiveness of system algorithms. Though the collection of the real test data and screening in Beijing, it achieves the forewarning of abnormal traffic incident and gives...
Traffic safety is the key problem to the traffic managers especially in China. This paper shows the technologies and methods of the traffic safety intelligent warning decision based on the statistical data of the traffic accidents and the relative data of China. And then the paper introduces the simulation technology and the predict method to realize the traffic safety intelligent warning decision...
In this paper the traffic safety warning technologies and methods are studied deeply based on the macro-forecast and micro-forecast methods. The macro-forecast will realize the traffic safety warning based on the macro-data such as the number of traffic accidents, the death toll and the number of motor vehicles owned and so on. And the micro-forecast is based on the micro-data such as traffic flow...
This paper presents the knowledge acquisition model of traffic accident cause analysis method from the point of structured information. Moreover, this paper introduces the modified knowledge acquisition model based on relative rough set theory, which can obtain effective information based on the database otherwise data ware. By this model, we can efficiently obtain relative information real-time,...
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.