| Description |
1 online resource (20 pages, 4 unnumbered pages) : color illustrations. |
|
text txt rdacontent |
|
computer c rdamedia |
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online resource cr rdacarrier |
| Series |
NREL/PR ; 5400-76685 |
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NREL/PR ; 5400-76685.
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| Note |
"National Renewable Energy Laboratory DOE Vehicle Technologies Office 2020 Annual Merit Review." |
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"Project ID# eems074." |
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"June 3, 2020." |
| Bibliography |
Includes bibliographical references. |
| Note |
Description based on online resource; title from PDF title page (NREL, viewed March 1, 2023). |
| Summary |
Curbside activity has not traditionally been represented in transportation network modeling in high fidelity. Growing demand for curbside mean that prevailing practices are becoming increasingly untenable. Through outreach to expert practitioners, we established the state-of-practice and needs for quantitative modeling. We proposed a new modeling framework to allow curbspace managers to make optimal decisions about space allocation between legacy and emerging uses. Proposed future work will take the proposed approach and refine it to be suitable for standardized use by practitioners - to facilitate mobility and energy optimization through smart curbside management. |
| Subject |
Curbs.
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Automobile parking.
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Traffic engineering.
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City planning.
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Bordures de chaussée.
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Stationnement.
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Technique de la circulation.
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curbs.
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parking (area)
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traffic engineering.
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Automobile parking
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City planning
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Curbs
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Traffic engineering
|
| Indexed Term |
curbside |
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drop off |
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parking |
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pick up |
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PUDO |
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TNC |
| Added Author |
Henao, Alejandro.
|
|
National Renewable Energy Laboratory (U.S.), issuing body.
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| Standard No. |
1669479 OSTI ID |
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0000-0002-2174-5066 |
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0000-0002-3955-9608 |
| Gpo Item No. |
0430-P-09 (online) |
| Sudoc No. |
E 9.22:5400-76685 |
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