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Pedestrian vision and collision avoidance behavior: investigation of the information process space of pedestrians using an eye tracker

Kitazawa, K.; Fujiyama, T.; (2010) Pedestrian vision and collision avoidance behavior: investigation of the information process space of pedestrians using an eye tracker. In: Klingsch, W.W.F. and Rogsch, C. and Schadschneider, A. and Schreckenberg, M., (eds.) Pedestrian and Evacuation Dynamics 2008. (pp. pp. 95-108). Springer: London, UK. Green open access

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Abstract

This study investigates the Information Process Space (IPS) of pedestrians, which has been widely used in microscopic pedestrian movement simulation models. IPS is a conceptual framework to define the spatial extent within which all objects are considered as potential obstacles for each pedestrian when computing where to move next. The particular focus of our study was identifying the size and shape of IPS by examining observed gaze patterns of pedestrians. A series of experiments was conducted in a controlled laboratory environment, in which up to 4 participants walked on a platform at their natural speed. Their gaze patterns were recorded by a head-mounted eye tracker and walking paths by laser-range-scanner–based tracking systems at the frequency of 25Hz. Our findings are threefold: pedestrians pay much more attention to ground surfaces to detect immediate potential environmental hazards than fixating on obstacles; most of their fixations fall within a cone-shape area rather than a semicircle; and the attention paid to approaching pedestrians is not as high as that paid to static obstacles. These results led to an insight that the structure of IPS should be re-examined by researching directional characteristics of pedestrians’ vision.

Type: Proceedings paper
Title: Pedestrian vision and collision avoidance behavior: investigation of the information process space of pedestrians using an eye tracker
ISBN-13: 9783642045035
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-642-04504-2_7
Publisher version: http://www.springer.com/mathematics/applications/b...
Language: English
Additional information: The original publication is available at www.springerlink.com
Keywords: Pedestrian vision, collision avoidance, Information Process Space
UCL classification:
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery.ucl.ac.uk/id/eprint/19121
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