Analysis of Traffic Signs Information Volume Affecting Driver’s Visual Characteristics and Driving Safety
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- Kun Liu & Hongxing Deng, 2021. "The Relationship of the Information Quantity of Urban Roadside Traffic Signs and Drivers’ Visibility Based on Information Transmission," IJERPH, MDPI, vol. 18(20), pages 1-14, October.
- Nengchao Lyu & Lian Xie & Chaozhong Wu & Qiang Fu & Chao Deng, 2017. "Driver’s Cognitive Workload and Driving Performance under Traffic Sign Information Exposure in Complex Environments: A Case Study of the Highways in China," IJERPH, MDPI, vol. 14(2), pages 1-25, February.
- Yanli Ma & Shouming Qi & Yaping Zhang & Guan Lian & Weixin Lu & Ching-Yao Chan, 2020. "Drivers’ Visual Attention Characteristics under Different Cognitive Workloads: An On-Road Driving Behavior Study," IJERPH, MDPI, vol. 17(15), pages 1-19, July.
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Cited by:
- Lian Xie & Jiaxin Zhang & Rui Cheng, 2023. "Comprehensive Evaluation of Freeway Driving Risks Based on Fuzzy Logic," Sustainability, MDPI, vol. 15(1), pages 1-20, January.
- Qin Zeng & Yun Chen & Xiazhong Zheng & Shiyu He & Donghui Li & Benwu Nie, 2023. "Optimization of Underground Cavern Sign Group Layout Using Eye-Tracking Technology," Sustainability, MDPI, vol. 15(16), pages 1-32, August.
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Keywords
traffic signs; TSIV; simulation; visual characteristics; visual workload intensity; driving safety;All these keywords.
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