Car-following safety modeling and simulation with fuzzy neural network - Details

Author：

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

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Abstract：

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.

Keyword：

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

Author Community：

[ 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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Source ：

Journal of Beijing University of Technology

ISSN： 0254-0037

Year： 2007

Issue： 4

Volume： 33

Page： 398-401

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count：

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 6

Affiliated Colleges：

建筑与城市规划学院本学院/部未明确归属的数据

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