Konferens: FAST-zero'15: 3rd International symposium on future active safety technology toward zero traffic accidents, 2015, Gothenburg

Merging into the traffic flow on an expressway is a challenging driving task. We aim to develop a driver assistance system for such a demanding driving task. Our previous study revealed that a driver’s decision making of the merging space in the oncoming traffic skill can be inferred by the driver’s behaviors after the driver was able to see the environment of the main lane. In addition, the study suggested that the merging behaviors were different among drivers and it seemed to depend on driver’s skill. Thus, the present paper proposed a method to characterize driver’s skill in merging operation based on the driver model and driver’s active longitudinal control toward a driver assistance system for merging.