CARTIM: A proposal toward identification and minimization of vehicular traffic congestion for VANET
| date accessioned | 2020-03-12T20:54:33Z | |
| date available | 2020-03-12T20:54:33Z | |
| date issued | 2014 | |
| identifier other | 6912491.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1029992?show=full | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | CARTIM: A proposal toward identification and minimization of vehicular traffic congestion for VANET | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8155336 | |
| subject keywords | Accuracy | |
| subject keywords | Analytical models | |
| subject keywords | Correlation | |
| subject keywords | Indexes | |
| subject keywords | Mathematical model | |
| subject keywords | Neural networks | |
| subject keywords | Training | |
| subject keywords | BP neural network | |
| subject keywords | evaluation | |
| subject keywords | financial risks | |
| subject keywords | gray relevance | |
| identifier doi | 10.1109/ICICTA.2014.130 | |
| journal title | omputers and Communication (ISCC), 2014 IEEE Symposium on | |
| filesize | 356080 | |
| citations | 0 | |
| contributor rawauthor | Araujo, Guilherme B. , Queiroz, Matheus M. , Duarte-Figueiredo, Fatima de L.P. , Tostes, Anna I.J. , Loureiro, Antonio A.F. |
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