Emerging automated vehicle (AV) technologies are increasingly being deployed around the world and it is only a matter of time before transportation landscape changes dramatically. Unfortunately, those cannot be well predicted due to lack empirical data. But adaptive cruise control (ACC) vehicles common in market can used fill this gap. In paper, we aim characterize car-following behaviors comme...

Traffic includes people, cars and the environment, people are subjective changeable. When driver’s psychology or behavior changes, possibility of accident will increase. Emotion is a major factor affecting psychological physiological changes drivers. Anxiety generally considered to be one emotions that easy cause traffic accidents. For this, this paper collects counts driving data through desig...

We proposed an extended car-following approach on evacuation system of micro traffic. It is based on the agent model. Parameter which is owned by the agent is the velocity. We added one driving behavior in the car-following a smart driver. Characteristics of smart driver he has a concern for the distance between his vehicle with the vehicle in front of him so that he will change the speed based...

To properly assess the impact of (cooperative) adaptive cruise control ACC (CACC), one has to model vehicle dynamics. First of all, one has to choose the car following model, as it determines the vehicle flow as vehicles accelerate from standstill or decelerate because of the obstacle ahead. The other factor significantly affecting the intersection throughput is the maximal vehicle acceleration...

1 In natural traffic flow, the information from preceding vehicles determines driver behavior predominantly. 2 With the availability of connected vehicle technologies (CVT), drivers can receive information from both 3 preceding and following vehicles. This creates new opportunities for vehicle coordination and control at 4 the microscopic level based on bi-directional information. Although the ...