A Study on driver''s car-following Behavior on Freeway - Using Driving Simulator constructed by Virtual Reality Technique

• Main Authors: Lin, HSIANG-JENN, 林鄉鎮
• Other Authors: Chi-Hong Ho, Chien-Hung Wei
• Format: Others
• Language: zh-TW
• Published: 1997
• Online Access: http://ndltd.ncl.edu.tw/handle/85959265039449190811

博士 === 國立成功大學 === 交通管理(科學)學系 === 85 === Abstract The car-following model is essential in the traffic simulation model. The performance of traffic simulation model is depend on whether the car-following model is correct or not. There is a few study on freeway traffic simulation model in Taiwan. Before this study no other research of driver''s car-following behavior on freeway is made. The car-following model of Taiwan freeway is made using driver simulator system constructed by virtual reality technique to collect data. The variables effect car-following behavior including : 1. distance between lead car and follow car, 2.speed differential between lead car and follow car, 3. follow car''s speed, 4. traffic condition. Therefore, the input variables of proposed model of back propagation neural networks model are distance between lead car and follow car, speed differential between lead car and follow car, and follow car''s speed. The output variable is follow car''s acceleration. Total six model is constructed according to different situations. The emperor outputs show that the nonlinear correlation between car-following behavior''s input variables and output variable can present by one hidden layer''s back propagation neural networks model. The proposed mode is superior to liu''s ML matrix function of Taiwan in mean root standard error. Besides, Traffic accident will happen when uses output of liu''s model because some situation the output is positive big value where correct acceleration is near zero or negative. The proposed model is safe than the liu''s model because no accident will occur according the output of proposed model.