Mixing effects model on relationship between braking pedal force and physiology of drivers based on driving pones factor

Xuemei Chen; Jian Sun; Li Gao; Xiaoyan Wang; Zhonghua Wei

doi:10.1166/asl.2012.1836

Mixing effects model on relationship between braking pedal force and physiology of drivers based on driving pones factor

Xuemei Chen, Jian Sun^*, Li Gao, Xiaoyan Wang, Zhonghua Wei

^*Corresponding author for this work

Advanced Research Institute of Multidisciplinary Science

Research output: Contribution to journal › Article › peer-review

Abstract

It is very important to study driver behavior to ensure traffic safety. Eight drivers were selected with age between 35 and 48, Electrocardiograph, Freecod data collecting system and dynamic GPS are utilized to study the drivers' behavior under emergency in the Transportation Communication Trial Field. The mixing effects model between maximum braking pedal force and heart rate change rate were established, then the factors such as driving time, personality, driving experience and age are considered by the driving pones factor K, finally the improved mixing effects model based on driving pones factor K was given.

Original language	English
Pages (from-to)	714-717
Number of pages	4
Journal	Advanced Science Letters
Volume	5
Issue number	2
DOIs	https://doi.org/10.1166/asl.2012.1836
Publication status	Published - 2012

Keywords

Braking pedal force
Driver behavior
Emergency degree
Heart rate
Mixing effects model
Traffic safety

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10.1166/asl.2012.1836

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abstract = "It is very important to study driver behavior to ensure traffic safety. Eight drivers were selected with age between 35 and 48, Electrocardiograph, Freecod data collecting system and dynamic GPS are utilized to study the drivers' behavior under emergency in the Transportation Communication Trial Field. The mixing effects model between maximum braking pedal force and heart rate change rate were established, then the factors such as driving time, personality, driving experience and age are considered by the driving pones factor K, finally the improved mixing effects model based on driving pones factor K was given.",

keywords = "Braking pedal force, Driver behavior, Emergency degree, Heart rate, Mixing effects model, Traffic safety",

author = "Xuemei Chen and Jian Sun and Li Gao and Xiaoyan Wang and Zhonghua Wei",

year = "2012",

doi = "10.1166/asl.2012.1836",

language = "English",

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AU - Chen, Xuemei

AU - Sun, Jian

AU - Gao, Li

AU - Wang, Xiaoyan

AU - Wei, Zhonghua

PY - 2012

Y1 - 2012

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AB - It is very important to study driver behavior to ensure traffic safety. Eight drivers were selected with age between 35 and 48, Electrocardiograph, Freecod data collecting system and dynamic GPS are utilized to study the drivers' behavior under emergency in the Transportation Communication Trial Field. The mixing effects model between maximum braking pedal force and heart rate change rate were established, then the factors such as driving time, personality, driving experience and age are considered by the driving pones factor K, finally the improved mixing effects model based on driving pones factor K was given.

KW - Braking pedal force

KW - Driver behavior

KW - Emergency degree

KW - Heart rate

KW - Mixing effects model

KW - Traffic safety

UR - https://www.scopus.com/pages/publications/84880792661

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DO - 10.1166/asl.2012.1836

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EP - 717

JO - Advanced Science Letters

JF - Advanced Science Letters

IS - 2

ER -

Mixing effects model on relationship between braking pedal force and physiology of drivers based on driving pones factor

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Keywords

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