Automatic Identification System (AIS) is one of the most prominent systems for monitoring
vessel activity. Although significant advances in AIS coverage have been achieved in recent …

Investigating The Use Of Kalman Filtering Approaches For Dynamic Origin-destination Trip
Table Estim - Southeastcon '97. Page 1 Investigating the Use of Kalman Filtering Approaches …

Traffic forecasting is considered nowadays as one of the most important traffic management
techniques on road networks. To provide suitable control strategies and advanced traveler …

Enabling the positioning and tracking of mobile phones has emerged as a key facility of
existing and future generation mobile communication systems. This feature provides …

Robust object tracking and maneuver estimation methods play significant role in the design
of advanced driver assistant systems and self‐driving cars. As an input to situation …

Given the importance of continuous traffic flow forecasting in most of Intelligent
Transportation Systems (ITS) applications, where every new traffic data become available in …

This paper proposes a Kalman Filter (KF) technique to predict the short-term flow at urban
arterials based on the information of connected and Bluetooth equipped vehicles. Online …

Short-term traffic volume forecasting is widely recognized as an important element of
intelligent transportation systems, because the accuracy of predictive methods determines …

Faced with increasing congestion on urban roads, authorities need better real-time traffic
information to manage traffic. Kalman filters are efficient algorithms that can be adapted to …