@article{(Open Science Index):https://publications.waset.org/pdf/12435,
	  title     = {Site Selection of Traffic Camera based on Dempster-Shafer and Bagging Theory},
	  author    = {S. Rokhsari and  M. Delavar and  A. Sadeghi-Niaraki and  A. Abed-Elmdoust and  B. Moshiri},
	  country	= {},
	  institution	= {},
	  abstract     = {Traffic incident has bad effect on all parts of society
so controlling road networks with enough traffic devices could help
to decrease number of accidents, so using the best method for
optimum site selection of these devices could help to implement good
monitoring system. This paper has considered here important criteria
for optimum site selection of traffic camera based on aggregation
methods such as Bagging and Dempster-Shafer concepts. In the first
step, important criteria such as annual traffic flow, distance from
critical places such as parks that need more traffic controlling were
identified for selection of important road links for traffic camera
installation, Then classification methods such as Artificial neural
network and Decision tree algorithms were employed for
classification of road links based on their importance for camera
installation. Then for improving the result of classifiers aggregation
methods such as Bagging and Dempster-Shafer theories were used.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {6},
	  number    = {6},
	  year      = {2012},
	  pages     = {770 - 773},
	  ee        = {https://publications.waset.org/pdf/12435},
	  url   	= {https://publications.waset.org/vol/66},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 66, 2012},