Freeway traffic state estimation is crucial for dynamic traffic management (DTM), Advanced
Traveler Information Systems (ATIS) and highway performance analyses. Raw data …

According to the need of traffic guidance and traffic monitoring system on urban expressway,
the paper introduces a method to estimate and predict traffic states and travel time between …

Traffic prediction is a very important mechanism in intelligent transportation systems for
applications including routing planning and traffic control. In order to infer multifarious traffic …

Real‐time traffic state estimation is of importance for efficient traffic management. This is
especially the case for traffic management systems that require fast detection of changes in …

Traffic congestion is a major problem in urban areas that has a significant adverse economic
impact through deterioration of mobility, safety and air quality. As a result, the importance of …

This work analyzes the estimation performance of the Kalman filter (KF) on transportation
networks with junctions. To facilitate the analysis, a hybrid linear model describing traffic …

We present a comparison for several filter configurations for freeway traffic state estimation.
Since the environmental conditions on a freeway may change over time (eg, changing …

The authors have been engaged in developing a new paradigm for estimating dynamic OD
travel time and flow on a freeway corridor. The fundamental framework is to 1) develop a …

This article presents a procedure to estimate the macroscopic traffic state in a pre-defined
space-time mesh using relative flow data collected by stationary and moving observers. The …

Traffic state estimation is a challenging problem for the transportation community due to the
limited deployment of sensing infrastructure. However, recent trends in the mobile phone …