Real-time and accurate traffic state identification can provide reference for urban traffic
control and guidance. Due to the randomness and complexity of traffic flow, it is difficult to …

This paper aims to tune the Kalman filter (KF) input variables, namely measurement error
and process noise, based on two-level factorial design. Kalman filter then was applied in …

Accurate traffic state estimation is essential for the successful application of intelligent
transportation systems (ITS). In the past, traffic state estimation methods based on the macro …

Congestion identification is an important research issue in the field of transportation. How to
differentiate the congestion which is frequent from andand which is an incident has become …

Speed-density relationships also referred as fundamental diagram (FD), play a central role
in traffic flow theory and transportation engineering. However, the main problem in …