In recent years, autonomous vehicles (AVs), which observe the driving environment and
lead a few or all of the driving tasks, have garnered tremendous success. The field of AVs …

Car-following behavior is the result of the interaction of various elements in the specific
driver-vehicle-environment aggregation. Under the intelligent and connected condition, the …

Automated vehicles (AVs) equipped with adaptive cruise control (ACC) possess different
driving performances from human-driven vehicles (HDVs). AVs will have an unusual impact …

Uphill and downhill roads are prevalent in mountainous areas and freeways. Despite the
advancements of vehicle-to-vehicle (V2V) communication technology, the driving field of …

This study proposes a multiple sources and multiple measures based traffic flow prediction
algorithm using the chaos theory and support vector regression method. In particular, first …

In order to research the effects of headway changes with memory and backward looking
effect on traffic flow, in the light of the full velocity difference model (FVDM), a novel car …

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 …

This study proposes a new car-following model considering the effect of electronic throttle
opening angle to capture the characteristics of connected autonomous vehicular traffic flow …

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 …

This study proposes a feedback-based platoon control protocol for connected autonomous
vehicles (CAVs) under different network topologies of initial states. In particularly, algebraic …