The “sidekick” routing paradigm for VMT reduction and improved accessibility
| 项目名称： | The “sidekick” routing paradigm for VMT reduction and improved accessibility |
| 摘要： | This project will combine tools from geospatial analysis, mathematical optimization theory, and computational geometry to study a routing paradigm that we call sidekick routing. A sidekick routing scheme is a logistical framework in which a large vehicle, such as a truck or van, serves as a mobile base for a fleet of small vehicles (the “sidekicks”), such as autonomous ground vehicles (AGVs) or unmanned aerial vehicles (UAVs). Systems of this kind have significant potential to simultaneously reduce vehicle miles traveled (VMT) – because the sidekicks are not restricted to streets – and to improve accessibility to goods, because the so-called “last mile” cost of transporting those goods is reduced. The sidekick paradigm has very recently seen use in many public and private sector organizations, both in California and elsewhere. However, although the requisite physical technology is reasonably mature, the requisite management technology (i.e. systems for determining efficient routing strategies) are relatively nascent. Moreover, the extent to which such services can provide a societal benefit are not yet understood, although we believe – based on our preliminary research in this area – that the potential is very high.This project has three central goals. First, we will construct a formal mathematical description of sidekick routing problems. Second, we next design and implement algorithms to solve sidekick routing problems efficiently. Finally, and most importantly, we will use publicly available data to answer high-level questions about the desirability of sidekick systems, such as to what extent one can improve accessibility of services or reduce VMT by introducing sidekicks. |
| 状态： | Active |
| 资金： | $99,997.00 |
| 资助组织： | Department of Transportation |
| 项目负责人： | Brinkerhoff, Cort |
| 执行机构： | University of Southern California, Los Angeles |
| 开始时间： | 20200101 |
| 预计完成日期： | 20201231 |
| 主题领域： | Data and Information Technology；Geotechnology；Passenger Transportation；Planning and Forecasting；Transportation (General) |
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