Car-following (CF) models are an appealing research area because they fundamentally
describe the longitudinal interactions of vehicles and contribute substantially to an …

Several interdisciplinary studies have investigated the impact of Connected and
Autonomous Vehicles (CAVs) on the performance of traffic networks, which expect positive …

Heavy vehicles influence general traffic in many different ways compared with passenger
vehicles, and this may result in different levels of traffic instability. Increases in the number …

Car-following models are the cornerstones of microscopic traffic simulation tools and
intelligent transportation systems, but the applicability of car-following models to disordered …

This study develops a car‐following model in which heavy vehicle behaviour is predicted
separately from passenger car. Heavy vehicles have different characteristics and …

Abstract Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication are
emerging components of intelligent transport systems (ITS) based on which vehicles can …

Microscopic traffic simulation models are widely used to assess the impact of measures and
technologies on the road transportation system. The assessment usually involves several …

The biggest challenge facing traffic engineering researchers is how to account for human
behavior, a non-physical parameter, in transportation modeling. In fact, a major drawback of …

A dedicated trajectory data collection method using a helicopter enabled a range of in-depth
empirical studies of car-following behavior. These studies found a high degree of …

In this paper, a car-following model considering the preceding vehicle type is proposed to
describe the longitudinal driving behavior closer to reality. Based on the naturalistic driving …