Driving visual information in highway tunnel entrances: A computational method based on optical flow and color quantification
The proposed visual information quantification method effectively evaluates the impact of tunnel entrance environmental characteristics on driving visual workload. Appropriately controlling the proportion of traffic sign information (15%-25.55%) helps balance visual workload and comfort, while excessive or insufficient information may lead to discomfort due to underload or overload. These findings provide theoretical guidance and practical recommendations for optimizing tunnel entrance landscape design, traffic sign arrangement, and traffic safety enhancement.
Authors
- Lei Wang (ORCID: https://orcid.org/0000-0001-8127-0894)
- Guangyan Qing (ORCID: https://orcid.org/0000-0002-4888-9318)
- Zhongshuai Liu
- Yunwei Meng (ORCID: https://orcid.org/0000-0001-8605-4920)
- Yin Zhang⋆ (ORCID: https://orcid.org/0000-0002-1772-0763)
- Binbin Li (ORCID: https://orcid.org/0000-0003-2493-5129)
- Chen Fang (ORCID: https://orcid.org/0000-0002-2883-6497)
Institutions
- Merchants Chongqing Communications Research and Design Institute (CN)
- Chongqing Jiaotong University (CN)
Publication Details
- Journal
- Traffic Injury Prevention
- Published
- 2025-06-09
- DOI
- https://doi.org/10.1080/15389588.2025.2498614
- Citations
- 5
- Primary Topic
- Safety Warnings and Signage
- Type
- article
- Field-Weighted Citation Impact
- 12.19
Funders
- National Key Research and Development Program of China