DocumentCode
3242399
Title
Traffic incident detection based on Artificial Neural Network
Author
Wang, Qi
Author_Institution
Electr. & Electron. Eng. Dept., Chengdu Electromech. Coll., Chengdu, China
fYear
2011
fDate
27-29 May 2011
Firstpage
657
Lastpage
659
Abstract
The complexity and the nonlinear characteristics of Highway traffic incident, this paper presents a detection method based on Artificial Neural Network, designs AID algorithm based on testing facilities, simulation results show that BP algorithm has the advantages of high detection rate, low false alarm rate and short detection time after comparing with traditional algorithm. But there are also shortcomings to make further research.
Keywords
backpropagation; neural nets; road traffic; traffic engineering computing; AID algorithm; BP algorithm; artificial neural network; high detection rate; highway traffic incident detection method; low false alarm rate; nonlinear characteristics; testing facility; Algorithm design and analysis; Classification algorithms; Layout; Artificial Neural Network(ANN); BP algorithm; traffic incident detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-61284-485-5
Type
conf
DOI
10.1109/ICCSN.2011.6014812
Filename
6014812
Link To Document