Research on Drivers' Cognitive Level at Different Self-explaining Intersections

摘要

One demand for road is the ensurance of self-explaining, under which means road users can make correct subjective classifications and expectations of road environment. Based on quantification of driver's driving cognitive behavior and the self- explaining road theory, this paper designs road environments with different self-interpretation levels as experimental scenes. Through a driving simulation experiment, the changing process of driver's cognitive workload level is simulated based on Hidden Markov Model. The Hidden Markov Model identifies the driving intention under the combined working conditions, thereby judging driving awareness of the road environment, and evaluating the self-interpretation level of each experimental scene.