Pandemic effects to autonomous vehicles test operations in California
Companies developing automated driving system (ADS) technologies have spent heavily in recent years to conduct live testing of autonomous vehicles operating in real world environments to ensure their reliable and safe operations. However, the unexpected onset and ongoing resurgent effects of the Cov...
Gespeichert in:
| Veröffentlicht in: | PloS one 2022-03, Vol.17 (3), p.e0264484-e0264484 |
|---|---|
| 1. Verfasser: | |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0264484 |
|---|---|
| container_issue | 3 |
| container_start_page | e0264484 |
| container_title | PloS one |
| container_volume | 17 |
| creator | Tan, Adrian Chen Yang |
| description | Companies developing automated driving system (ADS) technologies have spent heavily in recent years to conduct live testing of autonomous vehicles operating in real world environments to ensure their reliable and safe operations. However, the unexpected onset and ongoing resurgent effects of the Covid-19 pandemic starting in March 2020 has serve to halt, change, or delay the achievement of these new product development test objectives. This study draws on data obtained from the California automated vehicle test program to determine the extent that testing trends, test resumptions, and test environments have been affected by the pandemic. The importance of government policies to support and enable autonomous vehicles development during pandemic conditions is highlighted. |
| doi_str_mv | 10.1371/journal.pone.0264484 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2637999446</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A696334044</galeid><doaj_id>oai_doaj_org_article_3608ab5a9ed744f2ab3944115213eae2</doaj_id><sourcerecordid>A696334044</sourcerecordid><originalsourceid>FETCH-LOGICAL-c641t-52a7ad7bfa2d75d6d0e988059c25aa123683478bf3ec6be182e20302df4a6f003</originalsourceid><addsrcrecordid>eNqNkluL2zAQhU1p6V7af1BaQ6G0D0l1syy_FJawbQMLW3p7FWN7lCg4VtaSl-6_r5x4l7jsQ_GDzfibo5mjkySvKJlTntOPG9d3LTTznWtxTpgUQoknySktOJtJRvjTo--T5Mz7DSEZV1I-T054xnKaqfw0ufwGbY1bW6VoDFbBp8Gl0AfXuq3rfXqLa1s1GMvoQ-p22EGwrvWpbdMFNNa4rrXwInlmoPH4cnyfJ78-X_5cfJ1dXX9ZLi6uZpUUNMwyBjnUeWmA1XlWy5pgoRTJioplAJRxqbjIVWk4VrJEqhjG4QmrjQBpCOHnyZuD7q5xXo8OeM0kz4uiEEJGYnkgagcbvevsFro77cDqfcF1Kw1dGFbSXBIFZQYF1rkQhkHJowSlGaMcAVnU-jSe1pdbrCtsQwfNRHT6p7VrvXK3WhWUUVZEgfejQOdu-mig3lpfYdNAi9HcYW6VMyLlMPfbf9DHtxupFcQFbGtcPLcaRPWFLCTngggRqfkjVHz2Fx3jYmysTxo-TBoiE_BPWEHvvV7--P7_7PXvKfvuiF0jNGHtXdPvEzQFxQGsOud9h-bBZEr0kPZ7N_SQdj2mPba9Pr6gh6b7ePO_1R75Lg</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2637999446</pqid></control><display><type>article</type><title>Pandemic effects to autonomous vehicles test operations in California</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><creator>Tan, Adrian Chen Yang</creator><creatorcontrib>Tan, Adrian Chen Yang</creatorcontrib><description>Companies developing automated driving system (ADS) technologies have spent heavily in recent years to conduct live testing of autonomous vehicles operating in real world environments to ensure their reliable and safe operations. However, the unexpected onset and ongoing resurgent effects of the Covid-19 pandemic starting in March 2020 has serve to halt, change, or delay the achievement of these new product development test objectives. This study draws on data obtained from the California automated vehicle test program to determine the extent that testing trends, test resumptions, and test environments have been affected by the pandemic. The importance of government policies to support and enable autonomous vehicles development during pandemic conditions is highlighted.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0264484</identifier><identifier>PMID: 35271587</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Accidents, Traffic - prevention & control ; Accidents, Traffic - trends ; Automation ; Automation - economics ; Automation - methods ; Automobile Driving - statistics & numerical data ; Autonomous vehicles ; Autonomous Vehicles - statistics & numerical data ; California ; Computer and Information Sciences ; Coronaviruses ; COVID-19 ; COVID-19 - economics ; Driverless cars ; Earth Sciences ; Economic aspects ; Employees ; Engineering and Technology ; Epidemics ; Evaluation ; Field study ; Humans ; Literature reviews ; Logistics ; Mechanical Tests - economics ; Mechanical Tests - methods ; Medicine and Health Sciences ; Pandemics ; People and places ; Product development ; Prototypes ; Public health ; Public policy ; Roads & highways ; Simulation ; Supply chains ; Transportation planning ; User-Centered Design ; Vehicles</subject><ispartof>PloS one, 2022-03, Vol.17 (3), p.e0264484-e0264484</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Adrian Chen Yang Tan. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 Adrian Chen Yang Tan 2022 Adrian Chen Yang Tan</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c641t-52a7ad7bfa2d75d6d0e988059c25aa123683478bf3ec6be182e20302df4a6f003</cites><orcidid>0000-0001-6703-3243</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8912129/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8912129/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35271587$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tan, Adrian Chen Yang</creatorcontrib><title>Pandemic effects to autonomous vehicles test operations in California</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Companies developing automated driving system (ADS) technologies have spent heavily in recent years to conduct live testing of autonomous vehicles operating in real world environments to ensure their reliable and safe operations. However, the unexpected onset and ongoing resurgent effects of the Covid-19 pandemic starting in March 2020 has serve to halt, change, or delay the achievement of these new product development test objectives. This study draws on data obtained from the California automated vehicle test program to determine the extent that testing trends, test resumptions, and test environments have been affected by the pandemic. The importance of government policies to support and enable autonomous vehicles development during pandemic conditions is highlighted.</description><subject>Accidents, Traffic - prevention & control</subject><subject>Accidents, Traffic - trends</subject><subject>Automation</subject><subject>Automation - economics</subject><subject>Automation - methods</subject><subject>Automobile Driving - statistics & numerical data</subject><subject>Autonomous vehicles</subject><subject>Autonomous Vehicles - statistics & numerical data</subject><subject>California</subject><subject>Computer and Information Sciences</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - economics</subject><subject>Driverless cars</subject><subject>Earth Sciences</subject><subject>Economic aspects</subject><subject>Employees</subject><subject>Engineering and Technology</subject><subject>Epidemics</subject><subject>Evaluation</subject><subject>Field study</subject><subject>Humans</subject><subject>Literature reviews</subject><subject>Logistics</subject><subject>Mechanical Tests - economics</subject><subject>Mechanical Tests - methods</subject><subject>Medicine and Health Sciences</subject><subject>Pandemics</subject><subject>People and places</subject><subject>Product development</subject><subject>Prototypes</subject><subject>Public health</subject><subject>Public policy</subject><subject>Roads & highways</subject><subject>Simulation</subject><subject>Supply chains</subject><subject>Transportation planning</subject><subject>User-Centered Design</subject><subject>Vehicles</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNkluL2zAQhU1p6V7af1BaQ6G0D0l1syy_FJawbQMLW3p7FWN7lCg4VtaSl-6_r5x4l7jsQ_GDzfibo5mjkySvKJlTntOPG9d3LTTznWtxTpgUQoknySktOJtJRvjTo--T5Mz7DSEZV1I-T054xnKaqfw0ufwGbY1bW6VoDFbBp8Gl0AfXuq3rfXqLa1s1GMvoQ-p22EGwrvWpbdMFNNa4rrXwInlmoPH4cnyfJ78-X_5cfJ1dXX9ZLi6uZpUUNMwyBjnUeWmA1XlWy5pgoRTJioplAJRxqbjIVWk4VrJEqhjG4QmrjQBpCOHnyZuD7q5xXo8OeM0kz4uiEEJGYnkgagcbvevsFro77cDqfcF1Kw1dGFbSXBIFZQYF1rkQhkHJowSlGaMcAVnU-jSe1pdbrCtsQwfNRHT6p7VrvXK3WhWUUVZEgfejQOdu-mig3lpfYdNAi9HcYW6VMyLlMPfbf9DHtxupFcQFbGtcPLcaRPWFLCTngggRqfkjVHz2Fx3jYmysTxo-TBoiE_BPWEHvvV7--P7_7PXvKfvuiF0jNGHtXdPvEzQFxQGsOud9h-bBZEr0kPZ7N_SQdj2mPba9Pr6gh6b7ePO_1R75Lg</recordid><startdate>20220310</startdate><enddate>20220310</enddate><creator>Tan, Adrian Chen Yang</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-6703-3243</orcidid></search><sort><creationdate>20220310</creationdate><title>Pandemic effects to autonomous vehicles test operations in California</title><author>Tan, Adrian Chen Yang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c641t-52a7ad7bfa2d75d6d0e988059c25aa123683478bf3ec6be182e20302df4a6f003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Accidents, Traffic - prevention & control</topic><topic>Accidents, Traffic - trends</topic><topic>Automation</topic><topic>Automation - economics</topic><topic>Automation - methods</topic><topic>Automobile Driving - statistics & numerical data</topic><topic>Autonomous vehicles</topic><topic>Autonomous Vehicles - statistics & numerical data</topic><topic>California</topic><topic>Computer and Information Sciences</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - economics</topic><topic>Driverless cars</topic><topic>Earth Sciences</topic><topic>Economic aspects</topic><topic>Employees</topic><topic>Engineering and Technology</topic><topic>Epidemics</topic><topic>Evaluation</topic><topic>Field study</topic><topic>Humans</topic><topic>Literature reviews</topic><topic>Logistics</topic><topic>Mechanical Tests - economics</topic><topic>Mechanical Tests - methods</topic><topic>Medicine and Health Sciences</topic><topic>Pandemics</topic><topic>People and places</topic><topic>Product development</topic><topic>Prototypes</topic><topic>Public health</topic><topic>Public policy</topic><topic>Roads & highways</topic><topic>Simulation</topic><topic>Supply chains</topic><topic>Transportation planning</topic><topic>User-Centered Design</topic><topic>Vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tan, Adrian Chen Yang</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tan, Adrian Chen Yang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Pandemic effects to autonomous vehicles test operations in California</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2022-03-10</date><risdate>2022</risdate><volume>17</volume><issue>3</issue><spage>e0264484</spage><epage>e0264484</epage><pages>e0264484-e0264484</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Companies developing automated driving system (ADS) technologies have spent heavily in recent years to conduct live testing of autonomous vehicles operating in real world environments to ensure their reliable and safe operations. However, the unexpected onset and ongoing resurgent effects of the Covid-19 pandemic starting in March 2020 has serve to halt, change, or delay the achievement of these new product development test objectives. This study draws on data obtained from the California automated vehicle test program to determine the extent that testing trends, test resumptions, and test environments have been affected by the pandemic. The importance of government policies to support and enable autonomous vehicles development during pandemic conditions is highlighted.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>35271587</pmid><doi>10.1371/journal.pone.0264484</doi><tpages>e0264484</tpages><orcidid>https://orcid.org/0000-0001-6703-3243</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2022-03, Vol.17 (3), p.e0264484-e0264484 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2637999446 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Accidents, Traffic - prevention & control Accidents, Traffic - trends Automation Automation - economics Automation - methods Automobile Driving - statistics & numerical data Autonomous vehicles Autonomous Vehicles - statistics & numerical data California Computer and Information Sciences Coronaviruses COVID-19 COVID-19 - economics Driverless cars Earth Sciences Economic aspects Employees Engineering and Technology Epidemics Evaluation Field study Humans Literature reviews Logistics Mechanical Tests - economics Mechanical Tests - methods Medicine and Health Sciences Pandemics People and places Product development Prototypes Public health Public policy Roads & highways Simulation Supply chains Transportation planning User-Centered Design Vehicles |
| title | Pandemic effects to autonomous vehicles test operations in California |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-06T00%3A55%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Pandemic%20effects%20to%20autonomous%20vehicles%20test%20operations%20in%20California&rft.jtitle=PloS%20one&rft.au=Tan,%20Adrian%20Chen%20Yang&rft.date=2022-03-10&rft.volume=17&rft.issue=3&rft.spage=e0264484&rft.epage=e0264484&rft.pages=e0264484-e0264484&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0264484&rft_dat=%3Cgale_plos_%3EA696334044%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2637999446&rft_id=info:pmid/35271587&rft_galeid=A696334044&rft_doaj_id=oai_doaj_org_article_3608ab5a9ed744f2ab3944115213eae2&rfr_iscdi=true |