Abstract

Traffic congestion, which has a direct impact on the driver’s mood and action, has become a serious problem in rush hours in most cities of China. Currently, the study about driver’s mood and action in traffic congestion is scarce, so it is necessary to work on the relationship among driver’s mood and action and traffic congestion. And the PSR (pressure-state-response) framework is established to describe that relationship. Here, PSR framework is composed of a three-level logical structure, which is composed of traffic congestion environment, drivers’ physiology change, and drivers’ behavior change. Based on the PSR framework, various styles of drivers have been chosen to drive on the congested roads, and then traffic stream state, drivers’ physiology, and behavior characters have been measured via the appropriative equipment. Further, driver’s visual characteristics and lane changing characteristics are analyzed to determine the parameters of PSR framework. According to the PSR framework, the changing law of drivers’ characteristics in traffic congestion has been obtained to offer necessary logical space and systematic framework for traffic congestion management.

Highlights

  • Traffic congestion has become a peculiar phenomenon in rush hour of big city, and the rapid increasing number of automobiles and comparable insufficiency of transportation facilities are the direct reason [1]

  • In order to explore the regular pattern for the improved PSR model, the frame model in traffic congestion can be regarded as a three-level logical structure, which can be explained as follows

  • All of them finished the process about data recording of their eye movements and driving performance in the general and congested state (that two states are distinguished via formula (3) and the threshold value of χpt0r−estsn )

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Summary

Introduction

Traffic congestion has become a peculiar phenomenon in rush hour of big city, and the rapid increasing number of automobiles and comparable insufficiency of transportation facilities are the direct reason [1]. Traffic congestion would have a negative impact on the mood of the drivers on urban road [8], which will be reflected in the eye movements and driving behavior characteristics. In order to explore the regular pattern for the improved PSR model (pressure-traffic congestion, state-eye movement, and response-lane changing), the frame model in traffic congestion can be regarded as a three-level logical structure, which can be explained as follows. (2) State-eye movement: it is the change of drivers’ physiological indexes under the condition of traffic congestion, which can be measured by driver’s visual characteristics, such as fixation points’ distribution, fixation duration, average saccade speed, average saccade acceleration, blink duration, and blink rate. The response is the driving action that drivers take under the specific physiological condition due to traffic congestion, and the response can be measured by driver’s lane changing characteristics

Source Pressure for Drivers in Traffic Congestion
Driver’s Visual Characteristics in Traffic Congestion
Eye Fixation
Eye Saccade
Eye Blink
Lane Changing Characteristics in Congested State
Conclusion
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