| contributor author | Mohammad M. Hamed | |
| contributor author | Hashem R. Al-Masaeid | |
| contributor author | Zahi M. Bani Said | |
| date accessioned | 2017-05-08T21:03:12Z | |
| date available | 2017-05-08T21:03:12Z | |
| date copyright | May 1995 | |
| date issued | 1995 | |
| identifier other | %28asce%290733-947x%281995%29121%3A3%28249%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/36857 | |
| description abstract | This paper attempts to develop time-series models for forecasting traffic volume in urban arterials. The Box-Jenkins approach is used to estimate the time-series models. A 1-min data set representing traffic volume on five major urban arterials were available to estimate time-series models. The Box-Jenkins autoregressive integrated moving average (ARIMA) model of order (0, 1, 1) turned out to be the most adequate model in reproducing all original time series. The developed model is easy to understand and implement. Further, the model is computationally tractable, and only requires the storage of the last forecasted error and current traffic observation. | |
| publisher | American Society of Civil Engineers | |
| title | Short-Term Prediction of Traffic Volume in Urban Arterials | |
| type | Journal Paper | |
| journal volume | 121 | |
| journal issue | 3 | |
| journal title | Journal of Transportation Engineering, Part A: Systems | |
| identifier doi | 10.1061/(ASCE)0733-947X(1995)121:3(249) | |
| tree | Journal of Transportation Engineering, Part A: Systems:;1995:;Volume ( 121 ):;issue: 003 | |
| contenttype | Fulltext | |