Traffic density is a crucial indicator of traffic congestion, but measuring it directly is often
infeasible and hence, it is usually estimated based on other measurements. However, a …

Better traffic estimation can be achieved by integrating multiple data sources. However, it is
not an easy task due to many issues such as differences in formats, spatio-temporal …

The urban traffic usually has the characteristics of time-variation and nonlinearity, real-time
and accurate traffic flow forecasting has become an important component of the Intelligent …

Network traffic prediction based on probe vehicle data is important for traffic management
and route recommendation and has been intensively studied. Previous traffic prediction …

Real-time traffic states and origin-destination (OD) flows are essential inputs for on-line
traffic control and management systems. With the final goal to unify the problem of real-time …

Macroscopic model-based schemes are appropriate for real-time estimation of traffic density,
which is an important congestion indicator. Conservation of vehicles equation is one of the …

The paper addresses the problem of fusing multiple data sources in freeway networks. The
incremental Unscented Kalman Filter (UKF) and the Unscented Information Filter (UIF) are …

Short term traffic flow forecasting has received sustained attention for its ability to provide the
anticipatory traffic condition required for proactive traffic control and management. Recently …

Real time traffic state estimation is important to facilitate better traffic management in urban
areas and is a prime concern from a traffic engineer's viewpoint. Traffic density is a key traffic …

Traffic state estimation problems must deal with imperfect information. Imperfect information
may occur as a result of misalignments between reality and the assumptions or …