Traffic state prediction forms the basis for effective and efficient traffic control and
management strategies. A model-based traffic state prediction approach based on a …

This paper presents a novel approach for freeway traffic state estimation. Although there is
currently a wide variety of estimation methods, new designs and technologies can still be …

Accurate traffic flow prediction can provide reliable and precise information for traffic
departments to formulate effective management measures and assist drivers in performing …

Traffic state estimation is an important part of the traffic control process and aims to creates
an accurate understanding of the current situation in traffic system. Bayesian Filtering is a …

The basic requirement of mobile robot localization is to know the information about its
position and direction. The extended Kalman filter is an excellent tool to estimate the robot's …

To estimate urban network travel time, the classical analytical procedure uses cumulative
counts at upstream and downstream locations of links. This procedure is vulnerable in urban …

To estimate link travel time, the classical analytical procedure uses vehicles counts at
upstream and downstream locations. This procedure is vulnerable in urban networks mainly …

Abstract The use of Smooth Variable Structure Filter (SVSF) has been successfully
overcoming the Localization problem. Generally, its performance depends on the …

Smart City is one of the magic terms that is pervasively invading our world but, what is a
Smart City? What makes a City Smart? Is" smartness" a synonymous of" technology", or …

Localization is a crucial part in robot navigation. The significance of this issue is to the extent
that further achievements in terms of robot control is highly dependent on that. There are …