The focus of car-following models is to analyze the microscopic characteristics of traffic
flows, with particular attention given to the interaction between adjacent vehicles. This paper …

The application of vehicle-to-everything (V2X) technology has resulted in the traffic
environment being different from how it was in the past. In the V2X environment, the …

As vehicles become more autonomous, there is a greater need for reliable and accurate
information about neighbouring vehicles. In the V2V environment, information about nearby …

In recent years, Vehicle-to-Everything (V2X) technology has undergone significant
advancements, particularly in the realm of intelligent transportation systems. This technology …

Considering effect of driver's memory and average speed effect of preceding vehicles, an
extended car-following model is proposed in this paper. The control signal including the …

In the upcoming decades, connected vehicles will join regular vehicles on the road, and the
characteristics of traffic flows will change accordingly. To better understand mixed traffic flow …

An improved car-following model is presented under V2V communication situation, in which
the effect of two successive vehicles in front is taken into account. The control signal …

This paper proposes a cellular automata model for highway heterogeneous traffic flow
mixed with CAVs (connected automated vehicles) and HDVs (human-driven vehicles). The …

Due to the development of vehicle-to-vehicle (V2V) communication technology in recent
years, vehicles can obtain more information about other vehicles while driving. Therefore, in …

In this paper, the impacts of connected and autonomous vehicles (CAVs) on traffic efficiency
and safety are numerically investigated. An on-ramp cellular automata (CA) model …