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Road Safety Performance Function Analysis With Visual Feature Importance of Deep Neural NetsOACSCDCSTPCD

Road Safety Performance Function Analysis With Visual Feature Importance of Deep Neural Nets

Guangyuan Pan;Liping Fu;Qili Chen;Ming Yu;Matthew Muresan

Department of Civil and Environmental Engineering,University of Waterloo,ON N2L5G1,CanadaDepartment of Civil and Environmental Engineering,University of Waterloo,ON N2L5G1,CanadaBeijing University of Technology,Beijing 100124,ChinaChinese University of Hong Kong,Hong Kong 999077,ChinaDepartment of Civil and Environmental Engineering,University of Waterloo,ON N2L5G1,Canada

Deep learningdeep neural network (DNN)feature importanceroad safety performance function

Deep learningdeep neural network (DNN)feature importanceroad safety performance function

《自动化学报(英文版)》 2020 (3)

735-744,10

This work was supported by the National Science and Engineering Research Council of Canada (NSERC),Ontario Research Fund-Research Excellence (ORF-RE),the Ministry of Transportation Ontario (MTO) through Its Highway Infrastructure Innovation Funding Program (HII-FP),Beijing Postdoctoral Science Foundation (ZZ-2019-65),Beijing Chaoy-ang District Postdoctoral Science Foundation (2019ZZ-45),and Beijing Mu-nicipal Education Commission (KM201811232016).

10.1109/JAS.2020.1003108

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