The area of traffic flow modelling and analysis that bridges civil engineering, computer
science, and mathematics has gained significant momentum in the urban areas due to …

Gradient roads are not uncommon in mountainous areas and freeways. The driving field of
vision will be limited under such a complex road environment, which hinders the drivers from …

Connected automated vehicles have the capability to operate autonomously by monitoring
real-time traffic information through on-board sensors, such as velocity and distance …

A new set of lane changing rules is introduced with that the model introduced in Vranken et
al.(2021) is able to simulate multi lane heterogeneous traffic where human driven vehicles …

Many controllers have been designed for the longitudinal car-following mode of connected
and automated vehicles. The existing body of research shows that these controllers more or …

This study aims to develop a traffic model for heterogeneous vehicle movement, which
introduces the vehicle's heterogeneity by considering the internal mass effect. We explore …

To reduce the fuel consumption caused by the acceleration or deceleration, many drivers
wish to drive cars as smoothly as possible, which means that driving behavior is influenced …

Capturing lane changing behavior is crucial when develo** a traffic flow modeling and
optimization algorithm. This paper presents a two-lane lattice hydrodynamic model with …

Map** knowledge domain (MKD) is an important application in bibliometrics, which is a
method of visually presenting and explaining newly developed interdisciplinary scientific …

The driver's characteristics (eg, timid and aggressive) has been proven to greatly affect the
traffic flow performance, whereas the underlying assumption in most of the existing studies is …