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Title: Fuzzy logic based merging gap acceptance model incorporating driving styles and drivers’ personalities
Authors: Chai, Chen
Wang, Xuesong
Wong, Yiik Diew
Gao, Yidan
Keywords: Engineering::Civil engineering
Issue Date: 2017
Source: Chai, C., Wang, X., Wong, Y. D., & Gao, Y. (2018). Fuzzy logic based merging gap acceptance model incorporating driving styles and drivers’ personalities. Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation, 963-970. doi:10.1007/978-3-319-60441-1_92
Conference: International Conference on Applied Human Factors and Ergonomics (AHFE 2017)
Abstract: Cognitive ability and decision-making process in the driving task vary among drivers. Differences in driving styles and driver’s personality affect driving behavior, risk-taking and responses under hazardous scenarios. An innovative fuzzy logic based gap acceptance simulation model is proposed to extract and predict gap acceptance behavior with driving styles and drivers’ personalities. The proposed approach models driver’s decision-making process by a fuzzy set of the input factors. Cognitions, such as perceptions of front gap and current velocity, are modelled as fuzzy inputs while decisions, such as deceleration, are modelled as fuzzy outputs. For each driver, weighting factors are applied to differentiate driver’s sensitivity to operational factors, such as front gap and relative velocity during gap acceptance behavior.
ISBN: 9783319604404
DOI: 10.1007/978-3-319-60441-1_92
Schools: School of Civil and Environmental Engineering 
Organisations: Center for Infrastructure Systems
Rights: © 2018 Springer International Publishing AG. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:CEE Conference Papers

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