A Gaussian Distribution Based Dual-Cognition Driver Behavior Model at Cross Traffic
A cellular automaton model is presented to describe dual-cognition driver behavior at a single-lane roundabout.Dual-cognition driver behavior corresponds to heterogeneous and inconsistent driver behavior.Heterogeneous driver behavior is used to classify different types of drivers,while inconsistent driver behavior emphases driving behavior changes for the same driver at different scenarios.Two truncated Gaussian distributions are used to model heterogeneous and inconsistent driver behavior,respectively.The simulation results have shown that the proposed method may help enhance a better understanding of driver behavior at cross traffic,and even possibly provide references for cross traffic design and management.
M.-Z.LIU S.-B.ZHAO S.-P.XU L.LIANG
College of Management Science, Chengdu University of Technology, Chengdu 610059, China
国际会议
Sixth International Conference on Nonlinear Mechanics(第六届国际非线性力学会议)(ICNM-VI)
上海
英文
565-568
2013-08-01（万方平台首次上网日期，不代表论文的发表时间）