| Description |
1 online resource (17 pages) : color illustrations |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Series |
NREL/PR ; 5400-73631 |
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NREL/PR ; 5400-73631.
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| Note |
Slideshow presentation. |
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"Joint work conducted by ORNL, NREL, University of Tennessee-Knoxville, and University of South Carolina." |
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"Funding provided by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Fuel Cell Technologies Office"--Page 4 of cover |
| Funding |
DE-AC36-08GO28308 |
| Note |
Online resource; title from PDF title screen (NREL, viewed on September 4, 2019). |
| Summary |
On-demand transportation services have seen a dramatic rise in the past decade, thanks to technology. Connected and automated vehicle (CAV) technology holds potential for a major transformation in the on-demand mobility services landscape.The timeline for fully automated vehicles (AVs) to reach the critical market share is still uncertain. In the short term, many cities in the United States and abroad are testing low-speed automated electric shuttles (AES) as a shared on-demand mobility service in geo-fenced regions. An automated mobility district (AMD) is a campus-sized implementation of connected/automated vehicle technology to realize the full benefits of a fully electric automated mobility service within a confined region or district. Building on this concept, an AMD toolkit is under development at the National Renewable Energy Laboratory (NREL) to inform a campus-or district-sized implementation in which automated electric shuttles (AES). This research extends the functionality of the AMD toolkit by developing a mathematical program to optimize the operations of an AES fleet in an on-demand service configuration. |
| Subject |
Automated vehicles -- United States -- Computer simulation.
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Motor vehicles -- United States -- Automatic location systems.
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Motor vehicles -- Automatic location systems.
(OCoLC)fst01027728
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United States. (OCoLC)fst01204155 https://id.oclc.org/worldcat/entity/E39PBJtxgQXMWqmjMjjwXRHgrq
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| Indexed Term |
AES |
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AMD |
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automated electric shuttle |
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automated mobility district |
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automated vehicles |
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AV |
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CAV |
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connected and automated vehicles |
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fleet operations |
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on-demand transportation services |
| Added Author |
National Renewable Energy Laboratory (U.S.), issuing body.
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United States. Department of Energy. Office of Energy Efficiency and Renewable Energy, sponsoring body.
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Oak Ridge National Laboratory.
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University of Tennessee, Knoxville.
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University of South Carolina.
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| Standard No. |
1524763 OSTI ID |
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0000-0003-1603-1883 |
| Gpo Item No. |
0430-P-09 (online) |
| Sudoc No. |
E 9.22:NREL/PR-5400-73631 |
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