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Estimation of Normal Traffic and Traffic Impact Based on Float Car Data
| Content Provider | Semantic Scholar |
|---|---|
| Author | Xin-Xin, Jiang Sheng, Jiang Xili, Shuguang |
| Copyright Year | 2013 |
| Abstract | Manuscript received September 7, 2012; revised January 14, 2013 Abstract—The paper proposed a novel estimation method of normal traffic trends, and where traffic effect from bad weather and large activities is analyzed meticulously. Using data mining, the micro-traffic status and rules are reflected. Through analyzing the Float Car Data (FCD) and designing the model, the paper adopted some novel ideas to research normal traffic trends. And the traffic impact analysis for bad weather and large social events is given, which reflects the true change in Beijing. The experiments results show that it does not only fit true conditions, and also it is effective, which can give the public highly effective driving guidance. |
| Starting Page | 1 |
| Ending Page | 4 |
| Page Count | 4 |
| File Format | PDF HTM / HTML |
| Volume Number | 1 |
| Alternate Webpage(s) | http://www.jtle.net/uploadfile/2013/0903/20130903121538497.pdf |
| Alternate Webpage(s) | https://doi.org/10.12720/jtle.1.1.1-4 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
