Traffic-event Unification System Highlighting Arterial Roads
| 项目名称： | Traffic-event Unification System Highlighting Arterial Roads |
| 摘要： | The focus of this work is on development of machine learning techniques that use historical and real-time data for fusion of information and detection of incidents and accidents on arterial networks. This research seeks to investigate the application of machine learning in data relevance amplification and incident detection, explore potential challenges and propose innovative solutions. If machine learning can be successfully integrated with existing systems it would potentially open an array of future applications and benefits not only in operations aspects but also in safety, reliability and planning. With automated vehicular technology around the corner, the integration of machine learning with signal systems would provide additional capabilities especially in the transition phase where there will be a mix of automated vehicle (AV), connected vehicle (CV), and manual vehicles creating a complex heterogeneous environment. |
| 状态： | Active |
| 资金： | 299717 |
| 资助组织： | Florida Department of Transportation |
| 项目负责人： | Ponnaluri, Raj |
| 执行机构： | University of Florida, Gainesville |
| 主要研究人员： | Srinivasan, Siva |
| 开始时间： | 20180319 |
| 预计完成日期： | 20200615 |
| 实际结束时间： | 0 |
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