Development of Continuous Time, Temporally Constrained and Behaviorally Consistent Tour Pattern Generation System for Modeling the Impacts of Autonomous Vehicle Future
| 项目名称： | Development of Continuous Time, Temporally Constrained and Behaviorally Consistent Tour Pattern Generation System for Modeling the Impacts of Autonomous Vehicle Future |
| 摘要： | Autonomous vehicle (AV) technologies and solutions have been receiving increasing attention in both academia and industry. While the potential for transformation is undisputed, the specific impacts on travel behavior of individuals and households is less understood. In the proposed research, a new framework will be developed to simultaneously model the tour and stop making decisions while addressing three main limitations of existing tour-based activity-based modeling (TABM) frameworks, namely, representing time as a continuous entity, accommodating the temporal constraints within which an individual operates when generating tours and stops, and acknowledging the interrelationships across different tour- and stop-level decisions. This framework will be implemented into an existing TABM implementation to enhance the activity pattern generation. Further, the enhanced TABM will be applied and compared with existing TABM to demonstrate feasibility and applicability. Additionally, the TABM model system will be applied to model the direct and indirect travel behavior impacts, resulting from different configurations of AV futures, of San Francisco County residents. |
| 状态： | Completed |
| 资金： | 90268 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | University of North Carolina, Charlotte |
| 项目负责人： | Fan, Wei (David) |
| 执行机构： | University of Connecticut, Storrs |
| 主要研究人员： | Konduri, Karthik Charan |
| 开始时间： | 20171001 |
| 预计完成日期： | 20190930 |
| 实际结束时间： | 20190930 |
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