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Title: Fuzzy logic-based observation and evaluation of pedestrians’ behavioral patterns by age and gender
Authors: Chai, Chen
Shi, Xiupeng
Wong, Yiik Diew
Er, Meng Joo
Gwee, Evan Tat Meng
Keywords: Pedestrian Behavior
Age And Gender Effect
Issue Date: 2016
Source: Chai, C., Shi, X., Wong, Y. D., Er, M. J., & Gwee, E. T. M. (2016). Fuzzy logic-based observation and evaluation of pedestrians’ behavioral patterns by age and gender. Transportation Research Part F: Traffic Psychology and Behaviour, 40, 104-118.
Series/Report no.: Transportation Research Part F: Traffic Psychology and Behaviour
Abstract: Pedestrian behavior is affected by a multitude of factors such as age, gender, and operating conditions. However, traditional statistical analysis based on observed movements or questionnaire survey is unable to model decision-making process of each pedestrian. This study develops an innovative approach based on fuzzy logic to model the underlying cognitions and behavioral patterns of pedestrians as inferred from field observation in order to evaluate age and gender effect of pedestrians in crossing a signalized crosswalk and when jaywalking. Fuzzy sets and rules are created to model the relationship between human cognitions and decisions of an individual pedestrian. Through calibrating the membership functions of different age and gender groups, behavioral patterns of pedestrians are evaluated and compared. Different from most previous studies, both older and younger pedestrians are found to be less risk-taking than adult pedestrians. Moreover, significant gender difference is found only for cognitions of most hazardous conditions. Consistent with previous studies, it is seen that men have better cognitive skills than women at detecting hazardous situations. The findings from this study are useful to better design safe pedestrian crossing facilities. The fuzzy logic-based approach also provides an innovative way to simulate pedestrian movements in microscopic simulation models.
ISSN: 1369-8478
DOI: 10.1016/j.trf.2016.04.004
Rights: © 2016 Elsevier Ltd. This is the author created version of a work that has been peer reviewed and accepted for publication by Transportation Research Part F: Traffic Psychology and Behaviour, Elsevier Ltd. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CEE Journal Articles


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