FEATURES OF MODELING HUMAN ERRORS IN ROAD INFRASTRUCTURE MONITORING AND MANAGEMENT PROBLEMS FOR INTEGRATION INTO PREDICTIVE SAFETY SYSTEMS
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Abstract
The article considers modern methods of modeling human errors of traffic control center operators for their subsequent integration into predictive safety systems of transport infrastructure. A comprehensive three-level analytical model has been developed that organically combines qualitative and quantitative assessment methods, including detailed PSF profiles that allow one to assess the influence of key factors: the degree of operator fatigue, the level of cognitive load, the ergonomics of workplaces and the quality of visual interfaces on the probability of operator errors. Particular attention is paid to the interdisciplinary approach that combines the methods of transport planning, cognitive psychology, artificial intelligence and ergonomics. Practical mechanisms for integrating the model into intelligent transport systems are proposed. Among them are the dynamic adjustment of predictive algorithms taking into account the actual values of the probability of operator errors and the automation of preventive control actions. The conducted studies demonstrate that systematic consideration of the human factor can significantly improve the accuracy and reliability of predictive safety systems, reducing the number of accidents.
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References
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