Analysis About Car's Head Distance Prediction Method Based on Maximum Lyapunov Index
XIE Shenglong
LIU Weina
YAO Xinyu
Abstract：According to the prediction of the largest Lyapunov exponent in one-dimensional variable chaotic time series,the paper analyzes the method of vehicle headway prediction based on the maximum Lyapunov exponent. According to the maximum Ly?apunov exponent and the time- Dimensional chaotic characteristics of the history and front spacing of the sequence to forecase,in order to demonstrate the feasibility of the forecasting method,experiments are also carried out on the simulation of traffic flow gener?ation,chaotic property identification and case verification under the Bierley nonlinear car-following model. Experimental results show that this method can theoretically predict the headway of the Bierley nonlinear model with chaotic characteristics and provide a theoretical reference for the safety warning of vehicle-following driving model in intelligent transportation.
Keywords：maximum Lyapunov indexdistance prediction of car's headchaotic characteristicsnonlinear following mod?elintelligent transportation
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 2423-2427 )