Learn More
The paper presents a real-time freeway network traffic surveillance tool RENAISSANCE that enables traffic state estimation and short-term traffic state prediction, travel time estimation and prediction as well as queue tracking, based on a limited amount of real-time measurements. The paper first introduces the macroscopic freeway network traffic flow model(More)
Keywords: Stochastic macroscopic traffic flow model Extended Kalman filter Freeway traffic state estimation Joint state and parameter estimation Congestion Weather conditions Traffic incidents Detector faults Traffic incident alarm Detector fault alarm a b s t r a c t Real-data testing results of a real-time nonlinear freeway traffic state estimator are(More)
This paper reports on some large-scale field-testing results of a real-time freeway network traffic surveillance tool that has recently been developed to enable a number of real-time traffic surveillance tasks. This paper first introduces the related network traffic flow model and the approaches employed to traffic state estimation, traffic state(More)