Predicting crash frequency using an optimised radial basis function neural network model

Transportmetrica A: Transport Science

Volumn 12, Issue 4, 2016, Pages 330-345

  Huang, Helai ^a   Zeng, Qiang ^a   Pei, Xin ^b   Wong, S C ^c   Xu, Pengpeng ^a  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b TSINGHUA UNIVERSITY   (China)

^c UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Crash frequency prediction; nonlinear relationship; radial basis function neural network; sensitivity analysis

Indexed keywords

BACKPROPAGATION; FORECASTING; FUNCTIONS; MOTOR TRANSPORTATION; NEURAL NETWORKS; NONLINEAR ANALYSIS; RADIAL BASIS FUNCTION NETWORKS; RISK ASSESSMENT; ROADS AND STREETS; SAFETY ENGINEERING; SENSITIVITY ANALYSIS; TRANSPORTATION;

APPROXIMATION PERFORMANCE; BACK-PROPAGATION NEURAL NETWORKS; CRASH FREQUENCY; NEGATIVE BINOMIAL; NON-LINEAR RELATIONSHIPS; PREDICTION PERFORMANCE; RADIAL BASIS FUNCTION NEURAL NETWORKS; ROAD SAFETY ANALYSIS;

HIGHWAY ACCIDENTS;

EID: 84958773153     PISSN: 23249935     EISSN: 23249943     Source Type: Journal    
DOI: 10.1080/23249935.2015.1136008     Document Type: Article

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