How do the recognizability and driving styles of automated vehicles affect human drivers’ gap acceptance at T- Intersections?

Future traffic will be composed of both human-driven vehicles (HDVs) and automated vehicles (AVs). To accurately predict the performance of mixed traffic, an important aspect is describing HDV behavior when interacting with AVs. A few exploratory studies show that HDVs change their behavior when interacting with AVs, being influenced by...

Strategy-Based Driving Behaviour on Freeways: Findings of Test-Drive and On-Line Survey Study

Freeways form an important part of the road network. Drivers’ behavior can be split in longitudinal (acceleration and deceleration) and lateral behavior (lane changing). The combination of these two behaviors on freeways play a key role in traffic operations. This paper tries to describe the driving behavior, emphasizing the relation between the...

Empirical longitudinal driving behaviour in case of authority transitions between adaptive cruise control and manual driving

Automated vehicles are expected to have a substantial impact on traffic flow efficiency, safety levels and levels of emissions. However, Fields Operational Tests suggest that drivers may prefer to disengage Adaptive Cruise Control (ACC) and resume manual control in dense traffic conditions and before performing manoeuvres such as lane changing....

Investigation of driving behaviour transition during evacuation and its implication for traffic flow operations based on an open-source traffic simulation platform

Earlier studies have shown how driving behaviour during emergency evacuation is different from that under “normal” conditions. At the same time, most evacuation studies (where the driving performance is explicitly accounted for) were conducted under the assumption of a fully activated emergency environment. However, the transition phase in...

Longitudinal Driving Behavior in Case of Emergency Situations: An Empirically Underpinned Theoretical Framework

Adverse conditions have been shown to have a substantial impact on traffic flow operations. It is however not yet clear to what extent emergency situations actually lead to adaptation effects in empirical longitudinal driving behavior, what the causes of these adaptation effects are and how these can best be modeled. In this paper we show using...

Psychological elements in car-following models: Mental workload in case of incidents in the other driving lane

Estimations of parameter values of car-following models show considerable differences between individuals and experiments. These differences may be caused by a different effect of external circumstances on mental workload of drivers. This effect may especially play a considerable role in case of driving under adverse conditions (e.g. evacuations...