A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Safety effect of tunnel environment self-explaining design based on situation awareness
Graphical abstract Display Omitted
Highlights Environment self-explaining performance is evaluated based on situation awareness. The driver situation awareness schema and model are proposed. Driver’s “perception-comprehension-prediction” process is considered in driving. Tunnel is zoned as three sections based on environment self-explaining features. Combined of various environment design elements plays great self-explaining effect.
Abstract The aim of this study was to investigate the safety effect of environment self-explaining design from drivers’ situation awareness. First, a situation awareness model was developed based on drivers’ situation awareness status and the schema proposed in this study. Subsequently, simulation experiment environments were developed using 3D Max software. A total of 30 driver volunteers were recruited to perform driving simulation experiments under different tunnel environment self-explaining design scenes. Notably, the information on drivers’ eye movement and driving behaviors was collected using eye trackers and a driving simulator. Last, the situation awareness level of drivers was estimated utilizing the situation awareness model. The results indicated that drivers’ situation awareness varied with tunnel environment self-explaining design scenes. The visual illusion marking colored pavement and light-colored decorated sidewall in tunnels provided greater self-explaining performance and significantly enhanced driver cognition of the driving environment. Moreover, the optimal outcomes were achieved, including the scheme of inclined slope pattern, longitudinal marking colored pavement, and blue-white decorated sidewall in tunnels. As revealed by the findings of this study, tunnel environment self-explaining design takes on a critical significance in improving tunnel driving environment and safety.
Safety effect of tunnel environment self-explaining design based on situation awareness
Graphical abstract Display Omitted
Highlights Environment self-explaining performance is evaluated based on situation awareness. The driver situation awareness schema and model are proposed. Driver’s “perception-comprehension-prediction” process is considered in driving. Tunnel is zoned as three sections based on environment self-explaining features. Combined of various environment design elements plays great self-explaining effect.
Abstract The aim of this study was to investigate the safety effect of environment self-explaining design from drivers’ situation awareness. First, a situation awareness model was developed based on drivers’ situation awareness status and the schema proposed in this study. Subsequently, simulation experiment environments were developed using 3D Max software. A total of 30 driver volunteers were recruited to perform driving simulation experiments under different tunnel environment self-explaining design scenes. Notably, the information on drivers’ eye movement and driving behaviors was collected using eye trackers and a driving simulator. Last, the situation awareness level of drivers was estimated utilizing the situation awareness model. The results indicated that drivers’ situation awareness varied with tunnel environment self-explaining design scenes. The visual illusion marking colored pavement and light-colored decorated sidewall in tunnels provided greater self-explaining performance and significantly enhanced driver cognition of the driving environment. Moreover, the optimal outcomes were achieved, including the scheme of inclined slope pattern, longitudinal marking colored pavement, and blue-white decorated sidewall in tunnels. As revealed by the findings of this study, tunnel environment self-explaining design takes on a critical significance in improving tunnel driving environment and safety.
Safety effect of tunnel environment self-explaining design based on situation awareness
Yan, Ying (author) / Zhang, Yu (author) / Yuan, Huazhi (author) / Wan, Li (author) / Ding, Hongliang (author)
2023-10-26
Article (Journal)
Electronic Resource
English
Springer Verlag | 2021
Design of human-interface for situation awareness
| TIBKAT | 1996
Situation Awareness Based Smart Contract for Modular Construction
| Springer Verlag | 2022