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 …

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 …

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 order to discuss and analyze the hot concept, vehicular CPS (Cyber Physical System),
where CPS is an emerging and complex system that can obtain the physical status of …

Connected vehicle (CV) technologies are changing the form of traditional traffic models. In
the CV driving environment, abundant and accurate information is available to vehicles …

In this study, to explore the demand characteristics of autonomous coaches in mixed traffic
flow, two sections of an expressway were selected for vehicle experiments. With …

This paper considered heterogeneous multi-anticipative car-following modeling established
by estimating car-following models using empirical trajectory data. Based on the estimation …

To simulate car-following behaviors better when the traffic light is red, three successive car-
following data at a signalized intersection of Jinan in China were collected by using a new …

In the upcoming decades, connected vehicles will join regular vehicles to appear on roads,
and the characteristics of traffic flow will be changed accordingly. To model the …

It has been observed on Japanese motorways recently that traffic congestion occurs at
bottlenecks, such as sags and tunnels on uninterrupted sections. These bottleneck …