Over the past decades there has been a considerable development in the modeling of car-
following (CF) behavior as a result of research undertaken by both traffic engineers and …

Microscopic traffic simulation models require the calibration of car-following (or vehicle-
following) models. The parameters of vehicle-following models control individual driver's …

Dynamic traffic phenomena, such as hysteresis, stop-and-go traffic, stability, and capacity
drop, have significant implications for traffic safety and congestion. Previous studies have …

This research effort analyzes the Wiedemann car-following model using car-following
periods that occur at different speeds. The Wiedemann car-following model uses thresholds …

To explore and evaluate the impacts of relative velocity difference (RVD) with memory on the
dynamic characteristics and fuel economy of traffic flow in the intelligent transportation …

Car-following behavior, which describes the behavior of a vehicle while following the vehicle
in front of it, has a significant impact on traffic performance, safety, and air pollution. In …

This research effort aims to investigate the hypothesis that drivers apply different driving
styles in their daily driving tasks. A two-step algorithm is used for segmentation and …

In the expressway reconstruction and expansion engineering, the form of rightward zone is
increasingly adopted, and its complicated traffic conditions can easily cause traffic accidents …

The aim of this study is to comparatively analyze drivers' start‐up time (SUT) of the first two
vehicles at signalized intersections. Three groups of data, the SUT of the first vehicle, the …

Abstract This paper compares Fuzzy Inference System (FIS), Support Vector Machine (SVM)
and MultiLayer Feed-forward neural network (MLF) in modeling a driver's decision when …