Title :
Traffic incident detection based on Artificial Neural Network
Author_Institution :
Electr. & Electron. Eng. Dept., Chengdu Electromech. Coll., Chengdu, China
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;
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
DOI :
10.1109/ICCSN.2011.6014812
