基于决策树的驾驶差错恢复行为的建模

驾驶行为模型化是道路交通系统分析中一个十分重要的研究领域.通过定量分析驾驶差错状态恢复行为的特性,依据对驾驶差错状态的识别和改正行为的测度,建立了驾驶恢复度模型;结合对驾驶行为的测试数据与主观判断,运用改进的决策树求得了驾驶差错状态的恢复概率.该研究结果有利于对道路交通系统中驾驶行为特征的进一步认识.

Modeling for Action of Recovering from Erroneous Driving Condition Based on Revised Decision Tree

Driving behavior modeling is very important in the research area of road traffic systems safety analysis. The characteristics of action of recovering from erroneous driving condition underlying road traffic accident or incident scenarios is quantitatively analyzed, the model of action of recovering from erroneous driving condition is set up according to the identification of erroneous driving condition and the measurement of correction from erroneous driving condition. And then, the probability of action of recovering from erroneous driving condition has been measured based on a revised decision tree. The measure process uses a combination of test data and subjective judgments of driving behavior. It can provide a very helpful theoretical basis for the further analysis of driving behavior in road traffic system.