Enhancing Autonomous Vehicle Scheduling and Dispatch With Seamless Wireless Smart Parking
| dc.creator | Paul Seymer | |
| dc.date.accessioned | 2022-01-25T19:05:52Z | |
| dc.date.available | 2022-01-25T19:05:52Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Integrating and incentivizing multi-modal mass transit continues to be a challenge for municipalities, particularly in the US. Our driving culture influences both the personal choices we make, and the funding priorities for national, state, and local governments. In some cases these priorities do not focus on technology initiatives such as automated vehicles (AV) and last-mile transit. For small, traffic dense areas such as urban centers and college campuses, competition for funding is strong. Additionally, as autonomous vehicles are emerging technology, solutions for facilitation and other use cases are currently a work in progress. Any use of AVs and multi-modal transit must exist in tandem with or otherwise acknowledging person-vehicle driving culture. To that end, any solution involving AVs should supplement existing personal vehicle use, and incentivize the use of mass transit in the process. In this dissertation, I develop a seamless, wireless, Bluetooth-based smart parking localization solution and couple its outputs with an AV scheduling and tasking system to enable integrated multi-modal last-mile travel. | |
| dc.identifier.uri | https://hdl.handle.net/1920/12301 | |
| dc.title | Enhancing Autonomous Vehicle Scheduling and Dispatch With Seamless Wireless Smart Parking | |
| thesis.degree.discipline | Computational Science | |
| thesis.degree.grantor | George Mason University | |
| thesis.degree.level | Ph.D. |
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