Influence of Realistic Perception and Surroundings on Qualitative Results in Automated and Connected Vehicle Simulation
Automated and connected vehicles are emerging in the market. Currently, solutions are being proposed to use these technologies for cooperative driving, which can significantly improve road safety. Vehicular safety applications must be tested before deployment. It is challenging to verify and validat...
Saved in:
Published in | IEEE access Vol. 12; p. 1 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Piscataway
IEEE
01.01.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Automated and connected vehicles are emerging in the market. Currently, solutions are being proposed to use these technologies for cooperative driving, which can significantly improve road safety. Vehicular safety applications must be tested before deployment. It is challenging to verify and validate them in the real world. Therefore, simulation is used for this purpose. Modeling these technologies necessitates coupled the use of traffic flow, vehicle dynamics, communication network, perception and signal propagation models. State-of-the-art tools exist in these domains; however, they lack full domain coverage, and the low-level processes that affect each vehicle's behavior are often left unaccounted for, which (according to complex system theory) can lead to erroneous assumptions about system-level outcomes. This paper analyzes the requirements for an integrated connected and automated vehicle simulation environment for simulating vehicle behavior with consideration of surrounding objects' influence on machine perception and signal propagation. We discuss the shortcomings of existing methods, propose an architecture for a simulation environment with full domain coverage, and develop a preliminary version of the CAVISE integrated simulation environment for connected and automated vehicles using open-source tools. Scenarios of object detection and signal exchange were simulated, and data on the influence of surrounding objects on quantitative and qualitative changes in scenario simulation results was obtained. It was found that a more accurate description of surrounding objects and their influence on machine perception and signal transmission does lead to quantitative and qualitative changes in the measured parameters. This conclusion should be further used in simulation environment development for connected and automated vehicle technology verification and validation. |
---|---|
AbstractList | Automated and connected vehicles are emerging in the market. Currently, solutions are being proposed to use these technologies for cooperative driving, which can significantly improve road safety. Vehicular safety applications must be tested before deployment. It is challenging to verify and validate them in the real world. Therefore, simulation is used for this purpose. Modeling these technologies necessitates coupled the use of traffic flow, vehicle dynamics, communication network, perception and signal propagation models. State-of-the-art tools exist in these domains; however, they lack full domain coverage, and the low-level processes that affect each vehicle's behavior are often left unaccounted for, which (according to complex system theory) can lead to erroneous assumptions about system-level outcomes. This paper analyzes the requirements for an integrated connected and automated vehicle simulation environment for simulating vehicle behavior with consideration of surrounding objects' influence on machine perception and signal propagation. We discuss the shortcomings of existing methods, propose an architecture for a simulation environment with full domain coverage, and develop a preliminary version of the CAVISE integrated simulation environment for connected and automated vehicles using open-source tools. Scenarios of object detection and signal exchange were simulated, and data on the influence of surrounding objects on quantitative and qualitative changes in scenario simulation results was obtained. It was found that a more accurate description of surrounding objects and their influence on machine perception and signal transmission does lead to quantitative and qualitative changes in the measured parameters. This conclusion should be further used in simulation environment development for connected and automated vehicle technology verification and validation. |
Author | Romanov, Aleksandr Y. Stepanyants, Vitaly G. |
Author_xml | – sequence: 1 givenname: Vitaly G. orcidid: 0009-0000-0070-1286 surname: Stepanyants fullname: Stepanyants, Vitaly G. organization: HSE University, Moscow, Russia – sequence: 2 givenname: Aleksandr Y. orcidid: 0000-0002-9410-9431 surname: Romanov fullname: Romanov, Aleksandr Y. organization: HSE University, Moscow, Russia |
BookMark | eNpNkV1rFDEYhQepYK39BXox4PVu8zlJLpeh6kKhttt6G7Izb2qW2WTNh-K_N9Mp0lzk43CekxfO--bMBw9N8xGjNcZIXW36_nq3WxNE2JpSiWin3jTnBHdqRTntzl7d3zWXKR1QXbJKXJw3f7beTgX8AG2w7T2YyaXshvY7xAFO2QXfGj-2uxJjKH50_im1Vbsr1ZhNdr-hQqlMObXOt5uSw9FkGJ-hPngPw_z6AT_dMEG7c8cymTn1Q_PWminB5ct50Tx-uX7ov61ubr9u-83NaqBc5RVlZBgF4qCMtNZyKiUYy0ZORsZh3DMuBZFYSDMgxbgggtS9A055J_Fe0otmu-SOwRz0KbqjiX91ME4_CyE-aRPzPJw2iNYcQjouOSMKK0E7IJjvjTVKWFqzPi9Zpxh-FUhZH0KJvo6vKcIcMdXhrrro4hpiSCmC_f8rRnouTC-F6bkw_VJYpT4tlAOAVwQTgklM_wHTYpM- |
CODEN | IAECCG |
Cites_doi | 10.1109/access.2021.3125620 10.1016/j.engappai.2021.104211 10.1109/itsc45102.2020.9294422 10.1109/dynamics56256.2022.10014795 10.1016/j.aap.2018.12.019 10.1109/mtits.2015.7223293 10.1109/jsac.2011.110103 10.1016/s2542-5196(19)30170-6 10.1109/metrocad51599.2021.00018 10.1109/tits.2015.2498841 10.1007/978-3-030-12842-5_6 10.1007/978-3-030-12842-5_2 10.1007/978-3-319-67361-5_40 10.1109/icite56321.2022.10101411 10.1186/s13173-021-00113-x 10.1109/surv.2009.090403 10.1080/00423114.2020.1741652 10.1016/j.trip.2021.100486 10.1007/s11276-020-02419-8 10.1109/jproc.2010.2101990 10.1109/iccsce.2012.6487111 10.1109/vtcfall.2017.8288299 10.1109/access.2021.3049884 10.1109/mits.2015.2409883 10.1109/access.2021.3068769 10.1007/s11036-009-0177-2 10.1109/tiv.2023.3244948 10.5772/12846 10.1109/tvt.2018.2844091 10.1016/j.trc.2016.07.007 10.1109/jiot.2014.2327587 10.1109/mits.2023.3335126 10.1109/access.2021.3072739 10.1155/2021/2444363 10.1109/tits.2019.2913998 10.1109/comst.2018.2862141 10.1109/tvt.2014.2317803 10.1109/tits.2020.2990376 10.1109/tvt.2014.2319107 |
ContentType | Journal Article |
Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024 |
Copyright_xml | – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024 |
DBID | 97E ESBDL RIA RIE AAYXX CITATION 7SC 7SP 7SR 8BQ 8FD JG9 JQ2 L7M L~C L~D DOA |
DOI | 10.1109/ACCESS.2024.3380369 |
DatabaseName | IEEE All-Society Periodicals Package (ASPP) 2005-present IEEE Xplore Open Access Journals IEEE All-Society Periodicals Package (ASPP) 1998-Present IEEE/IET Electronic Library (IEL) CrossRef Computer and Information Systems Abstracts Electronics & Communications Abstracts Engineered Materials Abstracts METADEX Technology Research Database Materials Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional DOAJ Directory of Open Access Journals |
DatabaseTitle | CrossRef Materials Research Database Engineered Materials Abstracts Technology Research Database Computer and Information Systems Abstracts – Academic Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Advanced Technologies Database with Aerospace METADEX Computer and Information Systems Abstracts Professional |
DatabaseTitleList | Materials Research Database |
Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: RIE name: IEEE/IET Electronic Library (IEL) url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering |
EISSN | 2169-3536 |
EndPage | 1 |
ExternalDocumentID | oai_doaj_org_article_a0378a22658542919736e215bafa97f3 10_1109_ACCESS_2024_3380369 10477481 |
Genre | orig-research |
GrantInformation_xml | – fundername: HSE University grantid: 24-00-017 |
GroupedDBID | 0R~ 5VS 6IK 97E AAJGR ABVLG ACGFS ADBBV ALMA_UNASSIGNED_HOLDINGS BCNDV BEFXN BFFAM BGNUA BKEBE BPEOZ EBS ESBDL GROUPED_DOAJ IFIPE IPLJI JAVBF KQ8 M~E O9- OCL OK1 RIA RIE RIG RNS 4.4 AAYXX CITATION EJD M43 7SC 7SP 7SR 8BQ 8FD JG9 JQ2 L7M L~C L~D |
ID | FETCH-LOGICAL-c359t-342cd705e9a8fff5388eaf4d52d45edb458728178ac094572724576e535681b83 |
IEDL.DBID | DOA |
ISSN | 2169-3536 |
IngestDate | Fri Oct 04 13:14:35 EDT 2024 Thu Oct 10 18:31:02 EDT 2024 Fri Aug 23 01:01:58 EDT 2024 Wed Jun 26 19:40:25 EDT 2024 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c359t-342cd705e9a8fff5388eaf4d52d45edb458728178ac094572724576e535681b83 |
ORCID | 0000-0002-9410-9431 0009-0000-0070-1286 |
OpenAccessLink | https://doaj.org/article/a0378a22658542919736e215bafa97f3 |
PQID | 3015049616 |
PQPubID | 4845423 |
PageCount | 1 |
ParticipantIDs | proquest_journals_3015049616 doaj_primary_oai_doaj_org_article_a0378a22658542919736e215bafa97f3 ieee_primary_10477481 crossref_primary_10_1109_ACCESS_2024_3380369 |
PublicationCentury | 2000 |
PublicationDate | 2024-01-01 |
PublicationDateYYYYMMDD | 2024-01-01 |
PublicationDate_xml | – month: 01 year: 2024 text: 2024-01-01 day: 01 |
PublicationDecade | 2020 |
PublicationPlace | Piscataway |
PublicationPlace_xml | – name: Piscataway |
PublicationTitle | IEEE access |
PublicationTitleAbbrev | Access |
PublicationYear | 2024 |
Publisher | IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher_xml | – name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
References | ref13 ref15 Jocher (ref14) 2022 ref52 ref11 ref10 ref17 ref16 ref19 ref18 (ref47) 2023 ref51 ref46 ref45 (ref42) 2023 ref41 ref44 ref43 (ref1) 2018 (ref50) 2023 ref8 ref9 ref3 ref5 ref40 ref37 ref36 ref31 ref30 ref33 ref32 (ref48) 2023 ref2 ref39 ref38 Dosovitskiy (ref35) (ref12) 2023 (ref4) 2016 Sayama (ref6) 2015 ref24 ref23 ref26 ref25 ref20 ref22 ref21 Behrisch (ref34) ref28 ref27 (ref49) 2023 ref29 Archer (ref7) |
References_xml | – ident: ref10 doi: 10.1109/access.2021.3125620 – ident: ref30 doi: 10.1016/j.engappai.2021.104211 – ident: ref36 doi: 10.1109/itsc45102.2020.9294422 – ident: ref17 doi: 10.1109/dynamics56256.2022.10014795 – volume-title: Global Status Report on Road Safety 2018 year: 2018 ident: ref1 – ident: ref3 doi: 10.1016/j.aap.2018.12.019 – ident: ref39 doi: 10.1109/mtits.2015.7223293 – ident: ref22 doi: 10.1109/jsac.2011.110103 – ident: ref2 doi: 10.1016/s2542-5196(19)30170-6 – volume-title: Ultralytics/YOLOv5: V7.0—YOLOv5 SOTA realtime instance segmentation year: 2022 ident: ref14 contributor: fullname: Jocher – ident: ref25 doi: 10.1109/metrocad51599.2021.00018 – ident: ref28 doi: 10.1109/tits.2015.2498841 – ident: ref40 doi: 10.1007/978-3-030-12842-5_6 – ident: ref45 doi: 10.1007/978-3-030-12842-5_2 – ident: ref37 doi: 10.1007/978-3-319-67361-5_40 – ident: ref52 doi: 10.1109/icite56321.2022.10101411 – year: 2016 ident: ref4 publication-title: US DOT Advances Deployment Of Connected Vehicle Technology To Prevent Hundreds Of Thousands Of Crashes | US Department of Transportation – ident: ref9 doi: 10.1186/s13173-021-00113-x – ident: ref27 doi: 10.1109/surv.2009.090403 – volume-title: ASAM OpenSCENARIO? year: 2023 ident: ref50 – ident: ref5 doi: 10.1080/00423114.2020.1741652 – ident: ref26 doi: 10.1016/j.trip.2021.100486 – ident: ref44 doi: 10.1007/s11276-020-02419-8 – start-page: 1 volume-title: Proc. 3rd Int. Conf. Adv. Syst. Simul. ident: ref34 article-title: SUMO—Simulation of urban mobility: An overview contributor: fullname: Behrisch – ident: ref24 doi: 10.1109/jproc.2010.2101990 – ident: ref38 doi: 10.1109/iccsce.2012.6487111 – ident: ref43 doi: 10.1109/vtcfall.2017.8288299 – ident: ref32 doi: 10.1109/access.2021.3049884 – volume-title: CoPerception year: 2023 ident: ref48 – ident: ref46 doi: 10.1109/mits.2015.2409883 – start-page: 427 volume-title: Proc. ESS Conf. ident: ref7 article-title: The potential of micro-simulation modeling in relation to traffic safety assessment contributor: fullname: Archer – ident: ref18 doi: 10.1109/access.2021.3068769 – ident: ref23 doi: 10.1007/s11036-009-0177-2 – ident: ref11 doi: 10.1109/tiv.2023.3244948 – ident: ref15 doi: 10.5772/12846 – ident: ref21 doi: 10.1109/tvt.2018.2844091 – year: 2023 ident: ref12 publication-title: CARMASimulation – ident: ref16 doi: 10.1016/j.trc.2016.07.007 – ident: ref20 doi: 10.1109/jiot.2014.2327587 – ident: ref13 doi: 10.1109/mits.2023.3335126 – volume-title: ASAM OpenDRIVE? year: 2023 ident: ref49 – volume-title: OpenCOOD year: 2023 ident: ref47 – volume-title: Introduction to the Modeling and Analysis of Complex Systems year: 2015 ident: ref6 contributor: fullname: Sayama – ident: ref51 doi: 10.1109/access.2021.3072739 – ident: ref8 doi: 10.1155/2021/2444363 – start-page: 1 volume-title: Proc. 1st Conf. Robot Learn. ident: ref35 article-title: CARLA: An open urban driving simulator contributor: fullname: Dosovitskiy – ident: ref29 doi: 10.1109/tits.2019.2913998 – ident: ref33 doi: 10.1109/comst.2018.2862141 – ident: ref41 doi: 10.1109/tvt.2014.2317803 – ident: ref19 doi: 10.1109/tits.2020.2990376 – ident: ref31 doi: 10.1109/tvt.2014.2319107 – volume-title: Class Design—OpenCDA 0.1 Documentation year: 2023 ident: ref42 |
SSID | ssj0000816957 |
Score | 2.3659558 |
Snippet | Automated and connected vehicles are emerging in the market. Currently, solutions are being proposed to use these technologies for cooperative driving, which... |
SourceID | doaj proquest crossref ieee |
SourceType | Open Website Aggregation Database Publisher |
StartPage | 1 |
SubjectTerms | Automated vehicles Automation Complex systems Computational modeling Connected vehicles integrated simulation environment Microscopy nanoscopic modeling Object recognition Perception Qualitative analysis Safety Sensors Signal transmission Simulation System theory Systems theory Testing Three-dimensional displays Traffic safety Vehicle safety Vehicles |
SummonAdditionalLinks | – databaseName: IEEE/IET Electronic Library (IEL) dbid: RIE link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Rb9QwDI5gT_AAA4Y4GCgPPNJb2yRN8ng7MQ0kJsQY2luUNo6YYL3prhUSvx47zZ0GCImXqo0S1a0Tx3bsz4y91iR4RR0LgcosGii2LKwGW-jOt1WDe0abcLo_nDWnF_L9pbrMyeopFwYAUvAZzOk2neWHVTeSq-yIYAW0pETru6asp2StnUOFKkhYpTOyUFXao8VyiR-BNmAt52iJoay2v-0-CaQ_V1X5SxSn_eXkITvbUjaFlXybj0M7737-Adr436TvswdZ0-SLaWo8Ynegf8zu38IffMJ-vNuWKOGryD8BgSFib_5xF-3CfR_4-bheU_UlcqpzbJtwNxJiOA7ajN-HDb_q-WIcVqj_QkiDUgRNR09f4CtRwM-vrnOtsAN2cfL28_K0yJUYik4oOxRC1l3QpQLrTYwRhaQBH2VQdZAKQiuV0bWptPEdmouKDnfx2oAShG_WGvGU7fWrHp4xrgxoY1ENCeClsWBiiLGpDNRdKzyUM_ZmyyF3MwFuuGSolNZNDHXEUJcZOmPHxMVdV0LLTg34911efM6XAklDRRNtI9x_K6tFA6jrtD56q6OYsQPi2K33TcyascPtpHB5aW-cIB-RtE3VPP_HsBfsHpE4OWoO2d6wHuElqi5D-ypN2V_h7et8 priority: 102 providerName: IEEE |
Title | Influence of Realistic Perception and Surroundings on Qualitative Results in Automated and Connected Vehicle Simulation |
URI | https://ieeexplore.ieee.org/document/10477481 https://www.proquest.com/docview/3015049616 https://doaj.org/article/a0378a22658542919736e215bafa97f3 |
Volume | 12 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LS8QwEA7iSQ_iY8X1RQ4erTZN0iTHdVFUUMRV8RbSdoKCdmW3i3_fSdqVFQ9evBQaEpLMtDPfTNNvCDlSwfDyzCccwSwGKCZNjAKTqNIVLEefUUSe7pvb_PJRXD_L54VSX-FMWEsP3Aru1KVcaYcgAXEt2k5mFM8B_VThvDPKtzyfTC4EU9EGa5YbqTqaIZaa08FwiDvCgDATJxiWoeE2P1xRZOzvSqz8ssvR2Vysk7UOJdJBu7oNsgT1Jlld4A7cIp9X8_IidOzpPQQiQ-xN775PqlBXV3Q0m0xC5aSQEKfY1nJmRLZvHDSdvTVT-lrTwawZI3aFKg6Kp1_KcPcEL2EFdPT63tX56pHHi_OH4WXSVVFISi5Nk3CRlZVKJRinvfdo4DQ4LyqZVUJCVQipVaYZCrnEUE-GD7N4zUHywE1WaL5NlutxDTuESg1KowrSCpzQBrSvvM-ZhqwsuIO0T47nArUfLVmGjUFGamwrfxvkbzv598lZEPp318B0HRtQ_7bTv_1L_33SCypbmE8gotWsT_bnOrTdazm1POR3hMlZvvsfc--RlbCfNiOzT5abyQwOEKM0xWF8HA_j74RfpqLhGw |
link.rule.ids | 315,786,790,802,870,2115,27955,27956,55107 |
linkProvider | Directory of Open Access Journals |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9QwELZQOQAHnkUsFPCBI9kmcRzbx2VFtYV2hWiLerOceCwqIIt2EyHx65lxvKsCQuISJZatTDK25-GZbxh7pWjjFWXIBCqzaKCYPDMKTKZa1xQ1yowm4nSfLuvFRfXuUl6mZPWYCwMAMfgMpnQbz_L9qh3IVXZIsAKqokTrmyjoczWma-1cKlRDwkiVsIWK3BzO5nP8DLQCy2qKthju1uY3-RNh-lNdlb824yhhju6x5Za2MbDky3Tom2n78w_Yxv8m_j67m3RNPhsnxwN2A7qH7M41BMJH7MfxtkgJXwX-EQgOEXvzD7t4F-46z8-G9ZrqL5FbnWPbiLwRMcNx0Gb42m_4VcdnQ79CDRh8HBRjaFp6-gSfiQJ-dvUtVQvbZxdHb8_niyzVYshaIU2fiapsvcolGKdDCLhNanCh8rL0lQTfVFKrUhdKuxYNRknHu3itQQpCOGu0eMz2ulUHTxiXGpQ2qIh4cJU2oIMPoS40lG0jHOQT9nrLIft9hNyw0VTJjR0ZaomhNjF0wt4QF3ddCS87NuDft2n5WZcLJA1VTbSOUAIXRokaUNtpXHBGBTFh-8Sxa-8bmTVhB9tJYdPi3lhBXqLK1EX99B_DXrJbi_PTE3tyvHz_jN0mcke3zQHb69cDPEdFpm9exOn7C2yp7tA |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Influence+of+Realistic+Perception+and+Surroundings+on+Qualitative+Results+in+Automated+and+Connected+Vehicle+Simulation&rft.jtitle=IEEE+access&rft.au=Vitaly+G.+Stepanyants&rft.au=Aleksandr+Y.+Romanov&rft.date=2024-01-01&rft.pub=IEEE&rft.eissn=2169-3536&rft.volume=12&rft.spage=43721&rft.epage=43733&rft_id=info:doi/10.1109%2FACCESS.2024.3380369&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_a0378a22658542919736e215bafa97f3 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2169-3536&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2169-3536&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2169-3536&client=summon |