A comprehensive literature review reveals that there exist lots of ambiguities, confusion and
even contradictions in setting a car-following calibration problem. In particular, confusion …

In this paper, we review trajectory data-based traffic flow studies that have been conducted
over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest …

The new era of sharing information and “big data” has raised our expectations to make
mobility more predictable and controllable through a better utilization of data and existing …

The development of safety-oriented research and applications requires fine-grain vehicle
trajectories that not only have high accuracy, but also capture substantial safety-critical …

A clear understanding of car following behavior and microscopic relationships is critical for
advancing traffic flow theory. Without empirical microscopic data, plausible but incorrect …

Abstract Recently released Autonomous Vehicle (AV) trajectory datasets can potentially
catalyze research progress on AV-oriented traffic flow analysis. This paper aims to …

Trajectories drawn in a common reference system by all the vehicles on a road are the
ultimate empirical data to investigate traffic dynamics. The vast amount of such data made …

A lane changing assistance system that advises drivers of safe gaps for making mandatory
lane changes at lane drops is developed. Bayes classifier and decision-tree methods were …

This paper investigates the effects of lane-changing in driver behavior by measuring (i) the
induced transient behavior and (ii) the change in driver characteristics, ie, changes in driver …

Lane change maneuvers contribute to a significant number of road traffic accidents.
Advanced driver assistance systems (ADAS) that can assess a traffic situation and warn …