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Computational Intelligence for Traffic and Mobility by Kris Brijs, Ellen Jongen, Geert Wets (auth.), Wuhong Wang,

By Kris Brijs, Ellen Jongen, Geert Wets (auth.), Wuhong Wang, Geert Wets (eds.)

This booklet provides the recent improvement of computation intelligence for site visitors, transportation and mobility, the most contents comprise site visitors defense, mobility research, clever transportation procedure, shrewdpermanent car, transportation habit, driving force modeling and information, transportation probability research and reliability approach research, car operation and lively safeguard, city site visitors administration and planning.

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2004). After the ECG device is installed on the driver, the driver drives three times in the fully closed simulation environment without any interference. 1 Monotony of scenario The simulated scenarios are analyzed according to the evaluation method of monotony based on the MPEG image compression technique. It is found that the image compression results remain stable in the scenarios without any stimulus. When the stimulus is present, the compression results fluctuate significantly. For example, for the experimental scenario of 1 km, significant fluctuations are found to be associated with the stimulus, as shown in Fig.

Drops in the heart rate per unit time). The calculation period is from 5 minutes to 115 minutes of driving because some subjects speed a little bit at the end of driving and their driving time may not reach 120 minutes. 2. Relationship between the declining rate of heart rate and logarithm of stimulation density is shown in Fig. 14. The Hancock and Warm U model of the adaptive theory illustrates that within a certain driving load, the driver can maintain a certain level of performance. However, driver’s adaptability decreases at the lower or higher levels of driving load.

6   +5GHFUHDVLQJUDWH              Monotony and heart rate fitting Conclusions Driver fatigue is caused by the interaction of exogenous and endogenous factors. Driver fatigue is not only related to driver’s physiological states, but also affected by driver characteristics, driving environment and other factors. The road environment, one of the most important exogenous factors has gained more and more attention in studying driver fatigue. Lal and Craig (2001) showed that the heart rate was a reasonable physiological indicator to measure driving load.

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