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http://dx.doi.org/10.12815/kits.2013.12.3.053

Analysis of Car Following Model of Adaptive Cruise Controlled Vehicle Considering the Road Conditions According to Weather Circumstance  

Kim, Tae-Uk (부경대학교 공간정보시스템공학과)
Bae, Sang-Hoon (부경대학교 공간정보시스템공학과)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.12, no.3, 2013 , pp. 53-64 More about this Journal
Abstract
The car-following model is one of core models in Advanced Vehicle & Highway Systems (AVHS). The car-following model has been developed in aspects such as human factor and reduction error rates. However, the consideration of safety depending on weather condition has not been completed yet. In this paper, therefore, changes of driving condition for car-following due to different road condition were dealt with, and optimal safety distance corresponding to road condition such as dry, wet and snowy were computed. The GMIT(GM Model with Instantaneous T) model was picked over for simulation of adaptive cruise control applied the suggested optimal safety distance. As the results, the 1.7 times longer safety distance was required for wet road condition than dry road condition, and the 5.6 times longer safety distance was required for snowy road condition.
Keywords
Adaptive Cruised Control; Car Following Model; Road Friction Coefficient; Safety Distance; Weather Circumstance;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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