Application Evaluation of Self-Explaining Intersections Based on Visual Information
Wuhong Wang, Shanyi Hou, Xiaobei Jiang, Leyi Wang, Qian Cheng · International Conference on Transportation and Development 2020 · 2020
More than 80% of the traffic information acquired by drivers comes from the visual channel. Therefore, visual information provided by traffic environment has great effects on driving safety. Data of drivers’ driving trajectories, driving velocities, and eye movement characteristics in experimental scenes with different traffic environmental visual information and levels of self-explaining characteristic were collected via a driving simulator and eye tracker experiment. This paper analyzed the effects of visual information on drivers’ behaviors, evaluated the safety of self-explaining roads, and designed the methods to improve the capacity of fault tolerance and safety of the self-explaining intersection.