Developing Statistical Models Using Dynamic Network Modeling, Spatiotemporal Analysis, and Theories of AI to Optimize of Transportation System Management
| 项目名称： | Developing Statistical Models Using Dynamic Network Modeling, Spatiotemporal Analysis, and Theories of AI to Optimize of Transportation System Management |
| 摘要： | This research is focused on the optimization of transportation system management by developing statistical models involving dynamic network modeling, spatiotemporal analysis, and theories of artificial intelligent (AI). Currently, massive historical data have been generated through ubiquitous sensing technologies, leading to the spring up of data-driven strategies for transportation optimization. However, transportation modeling is still challenging due to the complex space-time dependencies, the directed network topology, and the high computational cost for large-scale networks. The integrated management of urban transportation systems also remains unfulfilled. More efficient cyber-technologies well tackling these issues, if successfully achieved, would significantly improve the urban transportation efficiency and assist better urban governance. |
| 状态： | Active |
| 资金： | 15333 |
| 资助组织： | National Center for Sustainable Transportation<==>Office of the Assistant Secretary for Research and Technology<==>University of California, Davis |
| 项目负责人： | Iacobucci, Lauren |
| 执行机构： | National Center for Sustainable Transportation<==>University of California, Davis |
| 开始时间： | 20201001 |
| 预计完成日期： | 20210930 |
| 主题领域： | Planning and Forecasting；Transportation (General) |
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