The scientific advancements in the vehicle and infrastructure automation industry are
progressively improving nowadays to provide benefits for the end-users in terms of traffic …

Driver behavior models have been used as input to self-coaching, accident prevention
studies, and developing driver-assisting systems. In recent years, driver behavior …

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 …

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 …

Automated vehicles (AVs) are believed to have great potential to improve the traffic capacity
and efficiency of the current transport systems. Despite positive findings of the impact of AVs …

Road traffic crashes are a major safety problem, with one of the leading factors in crashes
being human error. Automated and connected vehicles (CAVs) that are equipped with …

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 …

The significant advancements in intelligent transportation systems (ITS) have contributed to
the increased development in traffic modeling. These advancements include prediction and …

The current mobility situation is constantly changing as people are increasingly moving to
urban areas. Therefore, a flexible mode of transport with high-capacity passenger trains and …

Microscopic traffic models (MTMs) are widely used for assessing the impacts of (connected)
autonomous vehicles ((C) AVs). These models utilize car‐following (CF) and lane‐changing …