Title :
The study of optimization of the traffic video surveillance network
Author_Institution :
Coll. of Inf. Eng., China Jiliang Univ., Hangzhou, China
Abstract :
In order to monitor the hit and run automobiles effectively, it´s necessary to optimize the traffic video surveillance network. The main work is choosing the directions of the monitors in the traffic video surveillance network to minimize the number of safe roads which are not monitoring. Based on the analysis of the traffic road network and traffic video surveillance network, a method based on genetic algorithm is designed to solve the optimization problem. The experiment results show the model and the algorithm are effective.
Keywords :
genetic algorithms; minimisation; road safety; road traffic; traffic engineering computing; video surveillance; genetic algorithm; optimization problem; road safety; traffic road network; traffic video surveillance network; Optimization; Silicon; network optimization; traffic video surveillance;
Conference_Titel :
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-6935-2
DOI :
10.1109/ICAIE.2010.5640968
