| contributor author | Dinesh Gupta | |
| contributor author | Louis F. Cohn | |
| date accessioned | 2017-05-08T21:53:45Z | |
| date available | 2017-05-08T21:53:45Z | |
| date copyright | June 2012 | |
| date issued | 2012 | |
| identifier other | %28asce%29is%2E1943-555x%2E0000103.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/65659 | |
| description abstract | Environmental or air-quality effects of Intelligent Transportation Systems (ITS) are very difficult to measure. Some researchers have attempted to quantify the effects of individual ITS application on emissions; yet, the effects of ITS as a whole on ambient air-quality have not been investigated. This paper shows how to model the relationship between ITS and ambient airquality. The multiple artificial neural networks (ANN) training with the data yielded a model for predicting the | |
| publisher | American Society of Civil Engineers | |
| title | Intelligent Transportation Systems and NO2 Emissions: Predictive Modeling Approach Using Artificial Neural Networks | |
| type | Journal Paper | |
| journal volume | 18 | |
| journal issue | 2 | |
| journal title | Journal of Infrastructure Systems | |
| identifier doi | 10.1061/(ASCE)IS.1943-555X.0000073 | |
| tree | Journal of Infrastructure Systems:;2012:;Volume ( 018 ):;issue: 002 | |
| contenttype | Fulltext | |
