In the test bed of connected vehicles, detailed trajectory data are collected for connected
vehicles only. It brings challenges to study the car-following behavior of connected vehicles …

In the past decades, many improved car‐following models based on the full velocity
difference (FVD) model have been developed. But these models do not consider the …

This study develops new methods for evaluating detector health via event-based outputs
and existing traffic flow theory. In this work, event-based detector data outputs were used to …

The human drivers in a real world decide and act according to their experience, logic, and
judgments. In contrast, mathematical models act according to mathematical equations that …

Car‐following behaviour is an important problem in terms of road safety, since it represents,
alone, almost 70% of road accidents caused by not maintaining a safe braking distance …

There is a need to improve signalized intersection operations through identifying
malfunctioning detectors, as recent work has shown that errors in data quality and accuracy …

PURDUE UNIVERSITY GRADUATE SCHOOL Thesis/Dissertation Acceptance This is to certify
that the thesis/dissertation prepared By En Page 1 Graduate School Form 30 Updated PURDUE …

Start-up lost time (SLT, hereinafter) is one of the basic parameters for evaluating the
capacities of signalized intersections. In the urban area, intersections are closely spaced …

Dynamic Traffic Cellular Automata (DTCA) method has been used to develop a
mathematical model of vehicular traffic flow based on acceleration, velocity and position …

Drivers depend on anticipating ability controlling their vehicles to avoid collision and
unnecessary speed loss. This study intended to identify how anticipating ability works and …