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      Safety evaluation of driver cognitive failures and driving errors on right-turn filtering movement at signalized road intersections based on Fuzzy Cellular Automata (FCA) model.

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          Abstract

          This paper proposes a simulation-based approach to estimate safety impact of driver cognitive failures and driving errors. Fuzzy Logic, which involves linguistic terms and uncertainty, is incorporated with Cellular Automata model to simulate decision-making process of right-turn filtering movement at signalized intersections. Simulation experiments are conducted to estimate the relationships between cognitive failures and driving errors with safety performance. Simulation results show Different types of cognitive failures are found to have varied relationship with driving errors and safety performance. For right-turn filtering movement, cognitive failures are more likely to result in driving errors with denser conflicting traffic stream. Moreover, different driving errors are found to have different safety impacts. The study serves to provide a novel approach to linguistically assess cognitions and replicate decision-making procedures of the individual driver. Compare to crash analysis, the proposed FCA model allows quantitative estimation of particular cognitive failures, and the impact of cognitions on driving errors and safety performance.

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          Author and article information

          Journal
          Accid Anal Prev
          Accident; analysis and prevention
          Elsevier BV
          1879-2057
          0001-4575
          May 19 2017
          : 104
          Affiliations
          [1 ] The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai, 201804, China; College of Transportation Engineering, Tongji University, 4800 Cao'an Road, Shanghai, 201804, China. Electronic address: chaichen@tongji.edu.cn.
          [2 ] Centre for Infrastructure Systems, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore. Electronic address: CYDWONG@ntu.edu.sg.
          [3 ] The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai, 201804, China; College of Transportation Engineering, Tongji University, 4800 Cao'an Road, Shanghai, 201804, China. Electronic address: wangxs@tongji.edu.cn.
          Article
          S0001-4575(17)30163-X
          10.1016/j.aap.2017.04.026
          28531644

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