Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
Online ISSN : 1881-7203
Print ISSN : 1347-7986
ISSN-L : 1347-7986
Original Papers
Verification of Car Following Model Using Fuzzy Neural Network
Hiroaki INOKUCHITakamasa AKIYAMA
Author information
JOURNAL FREE ACCESS

2016 Volume 28 Issue 5 Pages 791-800

Details
Abstract
For analysis of influence on traffic environment change, a traffic simulation model is used. In the study, the carfollowing model that is the important component of the traffic simulation is examined. In the ordinary traffic simulation model, a numerical formula model is used as a car-following model. In the study, the applicability of the fuzzy neural network model is examined. In the existing study, the fuzzy neural network model is developed using the running survey data. In the study, the applicability of the car-following model is examined. As a result, the model using the fuzzy neural network can be estimated in a small error then a conventional non-linear car-following model. As s result of examination using the traffic simulation model, the difference of the result by the model is observed.
Content from these authors
© 2016 Japan Society for Fuzzy Theory and Intelligent Informatics
Previous article Next article
feedback
Top