Citation

Du Z, Chen Y, Jiao F, Zheng H, Han L. China Saf. Sci. J. 2022; 32(11): 47-54.

Copyright

(Copyright © 2022, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2022.11.0460

PMID

unavailable

Abstract

In order to solve the problem that the current traffic engineering facilities are chaotic and have negative impacts on traffic safety, based on the concept of self-explaining roads, the design concept and characteristics of the self-explaining visual guiding system were proposed. The visual guiding system and its functions in typical road environment were analyzed, the performance of alignment guidance and contour guidance of various types of facilities were compared, and these facilities were ranked according to the degree of self-explaining. The evaluation system based on the rights-of-way (spatial right-of-way, temporal right-of-way, priority right-of-way), human factors (sight distance, sight zone, visual illusion), and driving tasks (speed control, vehicle distance control, lane keeping) was constructed, and it was applied to the traffic safety evaluation and optimization design of 4 typical unfriendly road environments. The results show that, in the self-explaining guiding system, the continuously set guidance facilities can better describe road information. According to the road environment, combined with the characteristics of various types of visual guiding facilities, the reasonable combination can achieve safe and effective alignment guidance and contour guidance. The self-explaining road environment for active guidance is conductive to clarifying the road rights, optimizing the visual area, and reducing the driver's driving information load and working load. © 2022 China Safety Science Journal. All rights reserved.

Language: zh