터널 조명배열 유형과 운전자 주행행동 및 인식 간의 관계 분석

초록

Recently, an increase in the number of tunnels and their elongation have raised the risk of accident rates in tunnels. The closed and narrow characteristics of the tunnels inevitably affect the psychology and the cognition of the drivers. In this research, we quantify tunnels over 1km by design elements, and the relationship with real-world accident data is analyzed using multiple linear regression. As a result, we found out that the tunnel’s width, number of lanes, presence of a curve, and presence of lighting in the tunnel’s end had a significant relationship to the accident data. Meanwhile, the number of lighting colors and lighting array types had a minimal relationship. To investigate the regression results more in-depth, we conducted experiments that simulate the driving situations with diverse lighting array counts and sides at curved parts of the tunnels. For the experiment, we designed six different scenarios, each with three different tunnels with three different crash points. There were 18 participants, and each was given one scenario to drive using a racing wheel for the sense of reality. After the simulation experiment, we interviewed the subjects to identify the drivers' attitudes toward the actual road and tunnel driving experiences. From the interviews, we were able to identify that the relationship between the tunnel lighting designs and driving behaviors and cognition of the drivers is, in fact, complex. For instance, while the subjects answered that they felt more focused when there was a single array of lighting, the actual crash rate was substantially lower when there was a double line of lighting. These findings indicate that there needs further research with various lighting designs such as the color, spacing, and shape.

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