A fast identification method for traffic conflicts based on driver's pupil diameter

Abstract

The invention relates to a method for quickly identifying traffic conflicts based on the driver's pupil diameter, and belongs to the technical field of traffic engineering. The method steps include data collection, using an eye tracker to collect driver pupil diameter data; data processing, removing eye blink data and performing wavelet decomposition to generate pupil diameter data to be matched; template pupil diameter analysis, using the pupil diameter in the traffic conflict time period as a template And perform Fourier transform to generate template spectrum data; set the initial condition of GSA, define the fitness value, set the termination condition of GSA iteration and the termination condition of traffic conflict identification process; GSA calculation; process iteration; result output. This method is the first to propose a traffic conflict identification method based on the diameter of the driver's pupil, and uses and improves the GSA search algorithm to quickly identify traffic conflicts.

Description

technical field [0001] The invention belongs to the technical field of traffic engineering, in particular to a method for quickly identifying traffic conflicts. Background technique [0002] Traffic conflict technology is the mainstream of current road traffic safety evaluation methods. Many experts and scholars have proposed many methods in conventional traffic conflict discrimination. Method” (CN103106811A); Southeast University and the Traffic Management Bureau of Nanjing Municipal Public Security Bureau applied for a patent in 2014 “A method and system for identifying accident-prone road sections by using traffic conflicts” (CN103971519A). However, most of them use the inter-vehicle distance, relative vehicle speed and their derivative parameters as indicators for traffic conflict identification, resulting in a large discrepancy between the traffic conflict identification results and the driver's perception results, which is not conducive to the objective evaluation of r...

AI Technical Summary

Problems solved by technology

However, most of them use distance between vehicles, relative vehicle speed and their derivative parameters as indicators for identifying traffic conflicts, resulting in a large discrepancy between the results of traffic conflict discrimination and the driver's perception results, which is not conducive to the objective evaluation of road safety and the rational planning of the traffic system.

[0003] The widely recognized road traffic design theory also points out that the traffic demand and physiological-psychological response characteristics of road users should be taken as the theoretical basis of road design. Carrying out safety evaluation, road design and optimization based on the physiological-psychological response characteristics of road users cannot be realized. The reason for the traffic is that there is no traffic conflict quantitative index that reflects the driver's psychological load and a traffic conflict identification method based on this index.

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