Experimental Study On Driver Workload In Urban Road Environment

In recent years,with economic development,the citizen and the rural generally have higher incomes,owned city automobile increase rapidly,among which personal cars increase the most,with about 30% growth annually.At the same time,more than ten millions novel drivers are licensed every year,all that make urban transportation environment worse and worse.Carrying out research on urban car driver workload under different sections of urban roads is helpful for researcher to have a knowledge about every kind of road's workload,in order to understand the law of dirver's workload under different road,it's also helpful for the optimization of urban road system,which provide technology and theory support for reduce the rate of road traffic accidents.At the start of this paper is a review about the mechanism of personal reaction to stress,indicators on workload evaluation in the past and research on eye movement. According to previous results,indicators from circulatory system best reflect workload in real circumstance,so,here focusing on indicator of heart rate and heart rate variability. Besides,the effect of personal experience and environment on personal behavior are also discussed.Based on the above theory and the results of previous studies,an experiment is designed for assessing driver workload on urban road.The experiment uses KF2 for recording heart rate and heart rate variability,uses Eyelink II for collecting eye movement data.The theme of this paper is to discuss the workload differences among all kinds of road sections and among different groups of drivers.More,the effect of unexpected case on driver behavior and sensitivity of different workload indicators are also discussed.Data reveals that:different indictor has different sensitivity in assessing drivers' workload,of which heart rate and heart rate variability is the best;workload of the intersection is higher than the section;workload of the novice is higher than the experienced.The relationship between fixation and workload is weak;the relationship between saccade and workload is strong. The workload of driver can be assessed by indicators from saccade.