Calibration and validation of a switched linear macroscopic traffic model

Abstract

This paper deals with macroscopic traffic modelling. It investigates real magnetic sensor data, provided by the Performance Measurements System (PeMS), in order to identify some traffic parameters related to a portion of the SR60-E highway in Califorina. Then, these parameters are used to validate a switched linear traffic model.

Tracking vehicle trajectories and fuel rates in phantom traffic jams: Methodology and data

“…One important limitation of such datasets is that they are initially introduced to collect aggregated data relevant for calibrating and validating macroscopic descriptions of the traffic flow [9,10,11,12]. Microscopic descriptions of traffic [13,14,15,16,17] can be challenging to validate in detail without data at the level of the individual vehicle.…”

Integrating Model-Based Observer and Kullback–Leibler Metric for Estimating and Detecting Road Traffic Congestion

“…We applied the calibration methodology given in [23], [50] to the considered road segment for identifying the triangular FD form and estimating the parameters of the PWSL model for each cell (Table I). To design the observer, we first consider that the initial value of the observer is 0 0 0 0 T , and that the observer is initially in free-flow status mode (mode 1).…”

Flexible and efficient model-based congestion detection approach

“…Data calibration or fundamental diagram identification is a necessary step for each macroscopic model validation [23]. In which, we applied the calibration methodology proposed in [9], [24] on the considered road portion. Then, we identified the triangular fundamental diagram form for each cell and we estimated the PWSL model parameters for each cell.…”