The development of artificial neural network based incident detection algorithm for freeway

被引：0
|
作者：
Jiang, Guiyan [1 ]
Han, Guohua [1 ]
Gu, Mingchen [1 ]
Yang, Xianping [1 ]
机构：
[1] Jilin Univ, Coll Transportat, Changchun 130025, Peoples R China
来源：
CMESM 2006: Proceedings of the 1st International Conference on Enhancement and Promotion of Computational Methods in Engineering Science and Mechanics | 2006年
关键词：
freeway; automated incident detection; artificial neural network;
D O I：
暂无
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
A new incident detection algorithm for freeway was developed based on the artificial neural network method by comparing and analyzing the traffic flow's characteristics of incident and incident-free conditions. This proposed algorithm was tested by a large set of simulated data. The results showed.,that the. performance of this algorithm is better than some other algorithms already existed. Furthermore, when the algorithm calibrated with the simulated data from one detection zone was used to another detection zone, one could also get good performance.
引用
收藏
页码：707 / 712
页数：6
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