Demand-Driven Operational Design for Shared Mobility with Ride-pooling Options
| 项目名称： | Demand-Driven Operational Design for Shared Mobility with Ride-pooling Options |
| 摘要： | This proposal aims to develop a demand-driven approach for shared mobility operations with machine learning and math programming methods. The objective of this approach is to incorporate economic, environment and equity impacts over an entire operational cycle. Both ride-hailing systems (e.g. Lyft) and ride-pooling systems (e.g. UberPool) will be investigated. The developed models will be tested with real-world taxi data including detailed trajectories of vehicles and their loading states at all times. |
| 状态： | Completed |
| 资金： | 98718 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | USDOT/OST-R |
| 项目负责人： | Kline, Robin |
| 执行机构： | University of South Florida, Tampa |
| 主要研究人员： | Li, Xiaopeng |
| 开始时间： | 20181001 |
| 预计完成日期： | 20190930 |
| 实际结束时间： | 20190930 |
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