Chapter
Jul 2, 2019

Gaze Characteristics of Drivers in Curved Sections

Publication: CICTP 2019

Abstract

Sight is poor in the curve which will cause difficulties for drivers to determine road conditions accurately (Farid I. Kandil & AlexanderRotter, 2010) leading to traffic accidents. Throughout the driving process, visual characteristics play a key role. Based on the research at home and abroad, this paper analyzed driver’s gaze characteristics in curved sections. We designed a simulation experiment collecting 15 drivers’ eye movement data. Driving simulators recorded the movement data of vehicles. We analyzed the relationship between several time indicators and radius of curve and the influence of vehicle’s manipulation and assessed dangerous area in curves. Results showed radius of curve has influences on previewing time, continuous gazing starting relative to curve starting and continuous gazing ending relative to curve ending. Most drivers will stop gazing before exit the curve, so this stage has a high risk of accidents. Moreover, gaze characteristics also influence vehicle’s manipulation.

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Go to CICTP 2019
CICTP 2019
Pages: 498 - 509

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Published online: Jul 2, 2019

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Haiyang Yu
Beijing Key Laboratory of Vehicle Road Coordination and Safety Control, Beijing 100191, China; Beihang Univ., Xue Yuan Rd. No. 37, HaiDian District, Beijing 100191, China; Hefei Innovation Research Institute, Beihang Univ., Xinzhan Hi-tech District, Anhui 230013, China.
Fei Wang
Beijing Key Laboratory of Vehicle Road Coordination and Safety Control, Beijing 100191, China; Beihang Univ., Xue Yuan Rd. No. 37, HaiDian District, Beijing 100191, China.
Beijing Key Laboratory of Vehicle Road Coordination and Safety Control, Beijing 100191, China; Beihang Univ., Xue Yuan Rd. No. 37, HaiDian District, Beijing 100191, China; Hefei Innovation Research Institute, Beihang Univ., Xinzhan Hi-tech District, Anhui 230013, China. E-mail: [email protected]
Gangxin Jiao
Beijing Key Laboratory of Vehicle Road Coordination and Safety Control, Beijing 100191, China; Beihang Univ., Xue Yuan Rd. No. 37, HaiDian District, Beijing 100191, China.
Can Yang
Hefei Innovation Research Institute, Beihang Univ., Xinzhan Hi-Tech District, Anhui 230013, China.

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