Vincenzo Punzo

TL;DR: This paper intends to design quantitative methods to inspect trajectory data, involving jerk analysis, consistency analysis and spectral analysis, and is applied to the complete set of NGSIM databases.

TL;DR: This paper shows that the behavior of driver models, either individually or entangled in stochastic traffic simulation, is affected by the accuracy of empirical vehicle trajectories, and a “traffic-informed” methodology is proposed to restore physical and platoon integrity of trajectories in a finite time–space domain.

TL;DR: The use of kinematic differential Global Positioning System instruments allowed the trajectories of four vehicles in a platoon to be accurately monitored under real traffic conditions on both urban and extraurban roads.

TL;DR: The mechanism that was the root of the NGSIM data errors was illustrated, and the limits of available techniques were shown, and clarification that extremely high errors, the outliers, need special treatment to be fixed was provided.

TL;DR: A common evaluation and benchmarking framework is proposed, providing a synthetic test bed, which enables implementation and comparison of OD estimation/updating algorithms and methodologies under “standardized” conditions.