Exploring the Hazard Perception Ability of Cyclists on Natural Roads

Yanru Zhao

《World Scientific Research Journal》 9卷5期 (2023/05) Pp. 122-129

https://doi.org/10.6911/WSRJ.202305_9(5).0014

摘要

As a vulnerable group involved in road traffic, cyclists are more likely to be involved in traffic accidents and have a greater probability of injury and death than motor vehicles. Therefore, the purpose of this study was to explore the risk perception ability of cyclists when riding on natural roads. By recruiting subjects and setting up a natural road riding experiment, the visual characteristics of the subjects were obtained based on an eye tracker. Evaluate visual indicators to reflect the hazard perception ability of subjects in different hazard scenarios. The results showed that the visual characteristics of subjects in different scenarios were different. Displaying better visual search patterns for common road hazards can lead to faster detection of hazards and longer fixation duration for hazards, resulting in higher risk perception abilities.

關鍵字

Cyclists ； Hazard perception ； Adults ； On‐road test

參考文獻

C. Juhra, B. Wieskoetter, K. Chu, et al. Bicycle accidents–Do we only see the tip of the iceberg? A prospective multi-centre study in a large German city combining medical and police data, Injury, Vol. 43 (2012) No. 12, p. 2026-2034.

L. Zeuwts, P. Vansteenkiste, F.J.A. Deconinck, et al. Hazard perception in young cyclists and adult cyclists, Accident Analysis & Prevention, Vol. 105 (2016) p. 64–71.

M.S. Horswill, A. Hill and M. Wetton: Can a video-based hazard perception test used for driver licensing predict crash involvement, Accident Analysis & Prevention, Vol. 82 (2015) p. 213–219.

M.S. Horswill, A. Hill and T. Jackson: Scores on a new hazard prediction test are associated with both driver experience and crash involvement, Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 71 (2020) p. 98–109.

B. Wu, L. Sun and N. Gu: Development and validity of a hazard prediction test for Chinese drivers, PLoS One, Vol. 16 (2021) No. 01, p. e0245843.