China Safety Science Journal ›› 2020, Vol. 30 ›› Issue (7): 133-138.doi: 10.16265/j.cnki.issn1003-3033.2020.07.020

• Public safety • Previous Articles     Next Articles

Static identification experiments and safety assessment on colour vision of visually impaired population

WANG Qingzhou1, LUO Te1, FAN Xin2, LU Xinzhen1   

  1. 1 School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China;
    2 Railway Transportation Department, Tianjin Railway Technical and Vocational College, Tianjin 300240, China
  • Received:2020-04-10 Revised:2020-06-12 Online:2020-07-28 Published:2021-07-15

Abstract: In order to assess influencing factors on people with color weakness to correctly recognize signal lights, static recognition tests of red, yellow and green semaphore color vision were conducted on patients with weakness on these three colors. Relationship between light intensity, visual recognition distance and recognition error rate was established. Then, proportion of hazard orientation in false recognition results was proposed as an evaluation criterion for severity of signal lamp misjudgment. The results show that illumination intensity and visual distance have a significant impact on visual recognition of color-impaired people whose recognition error rate reaches its maximum at 12 noon and is always higher in the morning than afternoon. And the rate increases continuously along with increase of visual recognition distance and that for people with red and green color weakness at 90-meter distance can reach as high as 60%. Visual results of green weak patients is the best but has highest proportion of hazard orientation with potential risks that can not be ignored. Visual correctness of color-weak group is very sensitive to influence of illumination intensity and visual distance, so attention should be paid to safety of color-weak group driving motor vehicles.

Key words: color weakness, static visual identification, illumination intensity, visual recognition distance, error rate of visual recognition

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