Correlation between driver visual characteristics and lane change parameters in urban long-term work zone

Fei Ye; Lixin Wu; Sheng Yu

doi:10.1117/12.2689599

7 September 2023 Correlation between driver visual characteristics and lane change parameters in urban long-term work zone

Fei Ye, Lixin Wu, Sheng Yu

Author Affiliations +

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127905C (2023) https://doi.org/10.1117/12.2689599
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

To investigate the correlation between drivers' visual characteristics and lane change parameters in urban long-term work zone, firstly, this paper obtains the oculomotor parameters of different drivers in urban long-term operation areas through real vehicle experiments and concludes that the pupil area and saccade angel of drivers in warning area and upstream transition area road sections have significant differences within 95% confidence interval by one-way ANOVA method. Next, scatter plots of lane change behavior parameters and eye movement parameters were plotted and validated by the Person correlation statistics method to find that: In the warning zone section, the driver's pupil area was negatively correlated with running speed, distance from the latest lane change point, and lateral displacement acceleration to varying degrees, with the strongest correlation with distance from the latest lane change point, |г|=0.816; the saccade angel was correlated with running speed and lateral displacement acceleration, with the strongest correlation with running speed, |г|=0.667. In the upstream transition zone section, the driver's pupil area was negatively correlated with all three lane change parameters to varying degrees, with the strongest correlation with the distance from the latest lane change point, |г|=0.512; the saccade angel was correlated with the distance from the latest lane change point, |г|=0.538, with no significant correlation with the running speed and lateral displacement acceleration.

Citation Download Citation

Fei Ye, Lixin Wu, and Sheng Yu "Correlation between driver visual characteristics and lane change parameters in urban long-term work zone", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127905C (7 September 2023); https://doi.org/10.1117/12.2689599

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KEYWORDS

Roads

Visualization

Visual analytics

Eye

Data modeling

Eye tracking

Safety

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