Li Hangtian, Xie Songfang, Yang Feng, Lu Yang, Zhu Shoulin
College of Energy and Transportation Engineering, Inner Mongolia Agricultural University, Hohhot, China.
Front Neurosci. 2022 Jun 7;16:872863. doi: 10.3389/fnins.2022.872863. eCollection 2022.
To find the appropriate range of information quantity, we studied how the information quantity of traffic engineering facilities (TEFs) on straight roads of grassland highways affects a driver's eye movements. We used a combination of survey, statistics, analysis of variance, and the establishment of virtual scene to do this research, and carried out simulated driving tests at six levels (Z0, Z1, Z2, Z3, Z4, and Z5) of TEF information quantity. The driver's fixation duration, visual search breadth, and glance speed were evaluated in a quantitative way. Results showed that the information quantity had a significant impact on eye movements. It is concluded that the information quantity from 0 to 10 bits/km may cause problems to drivers, whereas the information quantity of 40 bits/km serves as the limit. The information quantity from 30 to 40 bits/km is the appropriate one for TEF on grassland highways.
为了找到合适的信息量范围，我们研究了草原公路直线路段交通工程设施（TEF）的信息量如何影响驾驶员的眼动。我们采用调查、统计、方差分析和建立虚拟场景相结合的方法进行此项研究，并在TEF信息量的六个水平（Z0、Z1、Z2、Z3、Z4和Z5）下进行了模拟驾驶测试。对驾驶员的注视持续时间、视觉搜索广度和扫视速度进行了定量评估。结果表明，信息量对眼动有显著影响。得出结论：0至10比特/公里的信息量可能给驾驶员带来问题，而40比特/公里的信息量为极限值。30至40比特/公里的信息量是草原公路上TEF的合适信息量。
