Empirical Analysis of Consumer Aspects of Autonomous Cars
| 项目名称： | Empirical Analysis of Consumer Aspects of Autonomous Cars |
| 摘要： | Evidence is rapidly accumulating that attaining the full set of benefits from Automated Vehicles (AVs) will require that they do not merely mimic human-driving behavior. For instance, in recently-completed early-stage research, Le Vine and colleagues demonstrated three prospective novel traffic-operations regimes associated with AVs, each of which have the potential to deliver a unique stream of benefits: (1) Vehicular kinematics (trajectories) to balance, in novel ways, between comfort and capacity; (2) A dynamic, voluntary and de-centralized (peer-to-peer) congestion pricing mechanism; and (3) Alternative vehicle-speed regimes (in some circumstances slower, while faster in others) The findings of this previous phase of research were purely theoretical, and what is therefore now required are empirical results through which AV-occupants' preference structures for these prospective behavioral regimes can be established. |
| 状态： | Completed |
| 资金： | 5388.00 |
| 资助组织： | University Transportation Research Center |
| 项目负责人： | Eickemeyer, Penny |
| 执行机构： | State University of New York, New Paltz |
| 主要研究人员： | LeVine, Scott |
| 开始时间： | 20150601 |
| 预计完成日期： | 0 |
| 实际结束时间： | 20160531 |
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