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.
To accurately characterize traffic flow, a hierarchical Gaussian mixture modeling (GMM) framework is proposed for constructing a proper empirical dynamics model. The traffic flow data are first represented by a linear combination of multiple Gaussian functions for characterizing related timing and geographical parameters and for reducing the quantity of collected traffic data. To further examine dynamically...
Characteristic analysis of dynamical traffic flow is an important issue in traffic management and control systems. Especially for a dense-ramps highway system within urban area, there exists a highly nonlinear and sophisticated property of traffic flow dynamics. This paper proposes a Gaussian Mixture Modeling (GMM) to estimate dynamical traffic flow. The traffic flow data can be represented by a linear...
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.