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A Novel Traffic Flows Monitoring Model Using Online Sightseeing Opinion and Traffic Volume
| 题名： | A Novel Traffic Flows Monitoring Model Using Online Sightseeing Opinion and Traffic Volume |
| 正文语种： | 中文 |
| 作者： | XU Wei FU Yi-ming ZHANG Pu LIU Ling-yu YIN Jia-rnin GUO Ruo-yang ZHAO Ying |
| 作者单位： | Remin University of hina, Beijing 100872 |
| 关键词： | transportation tourism opinion mining monitoring forecasting |
| 摘要： | With the rapid growth of GDP in China, tourism and transportation have experienced explosive growth in recent years.However, this has brought about problems such as traffic jams and traffic accidents.Under the background of the integration and coordination of Beijing-Tianjin-Hebei region policy, along with the promotion of Internet Plus initiative, we propose a novel traffic monitoring and warning method based on online sightseeing opinion and traffic volume.On the basis of online public opinion, hourly traffic volume data, and traffic microblogs on Sina Weibo, we monitor and forecast the traffic flows in the networks of highways quantitatively and qualitatively.Our conclusion is that our model is effective and efficient to analyze traffic flows, which has a profound impact on tourism and transportation. |
| 会议日期： | 20150920 |
| 会议举办地点： | 重庆 |
| 会议名称： | 国际道路联盟中国研讨会暨中国公路学会2015年学术年会 |
| 出版日期： | 2015-09-20 |
| 母体文献： | 国际道路联盟中国研讨会暨中国公路学会2015年学术年会论文集 |
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