Driving Risk Detection Model of Deceleration Zone in Expressway Based on Generalized Regression Neural Network
Driving Risk Detection Model of Deceleration Zone in Expressway Based on Generalized Regression Neural Network
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基于广义回归神经网络的高速公路减速区驾驶风险检测模型
DOI:
10.1155/2018/8014385
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发表时间:
2018-10
影响因子:
2.3
通讯作者:
Wang Linhong
中科院分区:
文献类型:
--
作者:
Qi Weiwei;Wang Zhexuan;Tang Ruru;Wang Linhong
Drivers’ mistakes may cause some traffic accidents, and such accidents can be avoided if prompt advice could be given to drivers. So, how to detect driving risk is the key factor. Firstly, the selected parameters of vehicle movement are reaction time, acc
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DOI:
10.1016/j.aap.2015.01.013
发表时间:
2015-04
期刊:
Accident; analysis and prevention
影响因子:
--
作者:
P. Hoggarth;Carrie R. H. Innes;J. Dalrymple-Alford;Richard D. Jones
通讯作者:
P. Hoggarth;Carrie R. H. Innes;J. Dalrymple-Alford;Richard D. Jones
影响因子:
2.3
作者:
Zhiyuan Liu;Yong Zhang;Shuaian Wang;Zhibin Li
通讯作者:
Zhiyuan Liu;Yong Zhang;Shuaian Wang;Zhibin Li
影响因子:
2.1
作者:
Weiwei Qi;Huiying Wen;Yaping Wu;Lihui Qin
通讯作者:
Weiwei Qi;Huiying Wen;Yaping Wu;Lihui Qin
DOI:
10.1016/j.ssci.2015.09.023
发表时间:
2016-02
期刊:
--
影响因子:
--
作者:
Chen Wang;N. Stamatiadis
通讯作者:
Chen Wang;N. Stamatiadis
影响因子:
6.1
作者:
Yeo, Mervyn V. M.;Li, Xiaoping;Wilder-Smith, Einar P. V.
通讯作者:
Wilder-Smith, Einar P. V.