Big Data Visualization and Spatiotemporal Modeling of Aggressive Driving
| 项目名称： | Big Data Visualization and Spatiotemporal Modeling of Aggressive Driving |
| 摘要： | More than half of fatal traffic crashes occur due to aggressive driving according to AAA (American Automobile Association) Foundation for Traffic Safety. Ubiquitous technology has made it possible to monitor driver behavior at a high frequency for a long period of time. This provides an opportunity for researchers to investigate risky driving behavior at a large scale. This project aims to develop a big data analytics framework and visualization tool to conduct spatiotemporal modeling and classify and visualize aggressive driving behavior using data from emerging technology. As an essential safety planning tool in the era of big data, this framework/tool can be used to identify where and when aggressive driving occurs. The Safety Pilot Model Deployment (SPMD) data, one of large transportation datasets available via the Federal Highway Administration (FHWA) Research Data Exchange (RDE) program will be used as a big data example. A classification model will be developed to discriminate aggressive driving from normal driving using kinetic and environmental geographic information system (GIS) data. Web-based data visualization tools will also be developed to identify the spatial and temporal distribution of aggressive driving. Furthermore, data visualization in a simulated real-time scenario will be conducted to produce insights from future transportation data considering the anticipated widespread adoption of autonomous and connected vehicle technology. |
| 状态： | Active |
| 资金： | 280672 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | Safety through Disruption University Transportation Center |
| 项目负责人： | Harwood, Leslie C |
| 执行机构： | Virginia Tech Transportation Institute |
| 主要研究人员： | Jahangiri, Arash |
| 开始时间： | 20180201 |
| 预计完成日期： | 20190531 |
| 实际结束时间： | 0 |
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