原文传递
Mining Transportation Information from Social Media for Planned and Unplanned Events.
| 题名： | Mining Transportation Information from Social Media for Planned and Unplanned Events. |
| 作者： | Zhang, Z.; Ni, M.; He, Q.; Still, S.; Gao, J. |
| 关键词： | Social media, Event identification, Traffic accident detection, Subway passenger, Flow prediction, Transit ridership, Traffic surge |
| 摘要： | The objective of this project is on mining social media data to deduce useful traveler’s information with a special emphasis under events, including both planned events (such as sporting games), and unplanned events (such as traffic accidents). Specifically, the project proposes to develop effective and efficient techniques to collect, extract and mine social media data to support advanced traveler information systems and traffic operators. By mining social media based semantics, especially text semantics, this project aims to achieve the following aims: 1) Forecast transit ridership under large sporting games; 2) Identify causality between abnormal traffic flow pattern and social media data; 2) Detect traffic accident using online social media data and traffic loop-detector data. |
| 总页数： | Zhang, Z.; Ni, M.; He, Q.; Still, S.; Gao, J. |
| 报告类型： | 科技报告 |
相关文献
- Role of Social Media in Improving the Safety and Efficiency of Traffic Operations during Non-Routine Events such as Incidents and Planned Special Events.
- Preprocessing Techniques to Support Event Detection Data Fusion on Social Media Data.
- Watching it All Come Together: Case Studies Report on Special Event Planning and Management.
- Transportation Planning and Management for Special Events. A Synthesis of Highway Practice.
- TECHNOLOGY IN RURAL TRANSPORTATION : SIMPLE SOLUTION #7 : LANE DROP DRIVER AWARENESS.
- Communication Plan for Windblown Dust.
检索历史
应用推荐
