Difficulty in obtaining accurate car-following data has traditionally been regarded as a
considerable drawback in understanding real phenomena and has affected the …

Vehicle trajectory datasets, available to the scientific community within the successful
NGSIM program, are offering exciting opportunities to explore traffic phenomena …

Dynamic traffic simulation tools are increasingly being used to help traffic managers and
urban planners to make decisions. Therefore, simulation tool users require a validated …

Recent advances in vehicle-based surveillance technologies using Global Positioning
Systems (GPS) promise high accuracy traffic information; however, their performance in field …

A new data-driven stochastic car-following model based on the principles of psychospacing
or action-point modeling is presented. It uses empirical or experimental trajectory data and …

Drivers behave in different ways, and these different behaviors are a cause of traffic
disturbances. A key objective for simulation tools is to correctly reproduce this variability, in …

Microscopic simulation models have become widely applied tools in traffic engineering.
Nevertheless, parameter identification of these models remains a difficult task. This is …

The Next Generation Simulation (NGSIM) trajectory data sets provide longitudinal and
lateral positional information for all vehicles in certain spatiotemporal regions. Velocity and …

Interest in calibration of car-following models by using real-life microscopic trajectory data is
increasing. However, more information is needed on the influence of methodological issues …

The NGSIM trajectory data are used to calibrate two car-following models—the IDM and the
FVDM. We used the I80 dataset which has already been reconstructed to eliminate outliers …