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 …

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 …

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 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 …

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 …

This paper proposes a possible methodology for detecting and mitigating traffic congestion.
This method is carried out using a custom-designed traffic scenario model. The model is fully …

Car-following (CF) algorithms are crucial components of traffic simulations and have been
integrated into many production vehicles equipped with Advanced Driving Assistance …