Car-following safety modeling and simulation with fuzzy neural network - 文章详情页

作者：

Li, De-Hui (Li, De-Hui.) | Liu, Xiao-Ming (Liu, Xiao-Ming.) (学者：刘小明) | Rong, Jian (Rong, Jian.) (学者：荣建) | Hu, Jiang-Bi (Hu, Jiang-Bi.) (学者：胡江碧)

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摘要：

It　is　hard　to　describe　drivers＇　behavior　with　precise　algorithm　because　of　its　fuzzy　and　uncertain　minable　characteristic　when　following　a　leading　car.　However,　it　is　suitable　to　apply　fuzzy　neural　network　(FNN)　to　studying　driving　behavior.　An　experiment,　which　uses　SR/SD　and　VR　as　two　inputs　and　the　following　car＇s　acceleration　as　the　output,　is　simulated　in　MATLAB.　Model　validation　results　have　shown　that　the　FNN　model　can　replicate　the　driving　behavior　of　real　road　situation.

关键词：

Acceleration Algorithms Computer simulation Experiments Fuzzy neural networks Fuzzy sets Mathematical models MATLAB Uncertain systems

作者机构：

[ 1 ] [Li, De-Hui]Beijing Key Lab. of Traffic Engineering, Beijing University of Technology, Beijing 100022, China
[ 2 ] [Liu, Xiao-Ming]Beijing Key Lab. of Traffic Engineering, Beijing University of Technology, Beijing 100022, China
[ 3 ] [Rong, Jian]Beijing Key Lab. of Traffic Engineering, Beijing University of Technology, Beijing 100022, China
[ 4 ] [Hu, Jiang-Bi]Beijing Key Lab. of Traffic Engineering, Beijing University of Technology, Beijing 100022, China

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