research-article

A smart car control model for brake comfort based on car following

Authors:

Zhaohui Wu,

Yanfei Liu,

Gang PanAuthors Info & Claims

IEEE Transactions on Intelligent Transportation Systems, Volume 10, Issue 1

Pages 42 - 46

https://doi.org/10.1109/TITS.2008.2006777

Published: 01 March 2009 Publication History

Abstract

This paper demonstrates a novel car-following model focused on passenger comfort, for example, a rapid deceleration will make passengers uncomfortable. The brake comfort model of car following was set up according to the relationship between vehicle deceleration and passenger comfort levels. The model calculates the controlled car's acceleration by measuring the distance between the controlled car and its preceding car, as well as the velocity of the controlled car. By controlling the car's acceleration, the model is able to keep riders feeling comfortable. The friction coefficient between the car and the road surface is also considered. Experiments show that the model is highly compatible with real cases.

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Liu YZhang YLi JSun JFu FGui J(2013)Towards early status warning for driver's fatigue based on cognitive behavior modelsProceedings of the 4th International conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management: healthcare and safety of the environment and transport - Volume Part I10.1007/978-3-642-39173-6_7(55-60)Online publication date: 21-Jul-2013
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Alt FKern DSchulte FPfleging BShirazi ASchmidt ADey ASchmidt ABoll SKun A(2010)Enabling micro-entertainment in vehicles based on context informationProceedings of the 2nd International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/1969773.1969794(117-124)Online publication date: 11-Nov-2010
https://dl.acm.org/doi/10.1145/1969773.1969794
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cover image IEEE Transactions on Intelligent Transportation Systems

IEEE Transactions on Intelligent Transportation Systems Volume 10, Issue 1

March 2009

197 pages

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IEEE Press

Publication History

Published: 01 March 2009

Revised: 27 March 2007

Received: 16 April 2006

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Chakraborty DVaz WNandi A(2015)Optimal driving during electric vehicle acceleration using evolutionary algorithmsApplied Soft Computing10.1016/j.asoc.2015.04.02434:C(217-235)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.1016/j.asoc.2015.04.024
Liu YZhang YLi JSun JFu FGui J(2013)Towards early status warning for driver's fatigue based on cognitive behavior modelsProceedings of the 4th International conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management: healthcare and safety of the environment and transport - Volume Part I10.1007/978-3-642-39173-6_7(55-60)Online publication date: 21-Jul-2013
https://dl.acm.org/doi/10.1007/978-3-642-39173-6_7
Alt FKern DSchulte FPfleging BShirazi ASchmidt ADey ASchmidt ABoll SKun A(2010)Enabling micro-entertainment in vehicles based on context informationProceedings of the 2nd International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/1969773.1969794(117-124)Online publication date: 11-Nov-2010
https://dl.acm.org/doi/10.1145/1969773.1969794
Wada TDoi STsuru NIsaji KKaneko H(2010)Characterization of expert drivers' last-second braking and its application to a collision avoidance systemIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2010.204367211:2(413-422)Online publication date: 1-Jun-2010
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Pauwelussen JFeenstra P(2010)Driver behavior analysis during ACC activation and deactivation in a real traffic environmentIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2010.204309911:2(329-338)Online publication date: 1-Jun-2010
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