{"id":"https://openalex.org/W4323974780","doi":"https://doi.org/10.1080/15472450.2023.2186229","title":"A novel pedestrian road crossing simulator for dynamic traffic light scheduling systems","display_name":"A novel pedestrian road crossing simulator for dynamic traffic light scheduling systems","publication_year":2023,"publication_date":"2023-03-12","ids":{"openalex":"https://openalex.org/W4323974780","doi":"https://doi.org/10.1080/15472450.2023.2186229"},"language":"en","primary_location":{"id":"doi:10.1080/15472450.2023.2186229","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2023.2186229","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Transportation Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2409.11623","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021503187","display_name":"Dayuan Tan","orcid":"https://orcid.org/0000-0001-6709-4556"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dayuan Tan","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA"],"raw_orcid":"https://orcid.org/0000-0001-6709-4556","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042965957","display_name":"Mohamed Younis","orcid":"https://orcid.org/0000-0003-3865-9217"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Younis","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA"],"raw_orcid":"https://orcid.org/0000-0003-3865-9217","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072351533","display_name":"Wassila Lalouani","orcid":"https://orcid.org/0000-0002-0801-5827"},"institutions":[{"id":"https://openalex.org/I4322298","display_name":"Towson University","ror":"https://ror.org/044w7a341","country_code":"US","type":"education","lineage":["https://openalex.org/I4322298"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wassila Lalouani","raw_affiliation_strings":["Department of Computer and Information Science, Towson University, Towson, MD, USA"],"raw_orcid":"https://orcid.org/0000-0002-0801-5827","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Towson University, Towson, MD, USA","institution_ids":["https://openalex.org/I4322298"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004653378","display_name":"Shuyao Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyao Fan","raw_affiliation_strings":["School of Computer Science and Technology, Tiangong University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tiangong University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002545233","display_name":"Guozhi Song","orcid":null},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guozhi Song","raw_affiliation_strings":["School of Computer Science and Technology, Tiangong University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tiangong University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5021503187"],"corresponding_institution_ids":["https://openalex.org/I79272384"],"apc_list":null,"apc_paid":null,"fwci":1.1405,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80950495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"28","issue":"5","first_page":"636","last_page":"650"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.7749528288841248},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6434224843978882},{"id":"https://openalex.org/keywords/pedestrian-crossing","display_name":"Pedestrian crossing","score":0.609068751335144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5777506232261658},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.5493348836898804},{"id":"https://openalex.org/keywords/traffic-optimization","display_name":"Traffic optimization","score":0.486858069896698},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4644702970981598},{"id":"https://openalex.org/keywords/road-traffic","display_name":"Road traffic","score":0.4616829752922058},{"id":"https://openalex.org/keywords/traffic-congestion-reconstruction-with-kerners-three-phase-theory","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","score":0.44261226058006287},{"id":"https://openalex.org/keywords/driving-simulator","display_name":"Driving simulator","score":0.41167202591896057},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36707550287246704},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.33715835213661194},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3088657259941101},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.16431233286857605}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7749528288841248},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6434224843978882},{"id":"https://openalex.org/C2777819797","wikidata":"https://www.wikidata.org/wiki/Q8010","display_name":"Pedestrian crossing","level":3,"score":0.609068751335144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5777506232261658},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.5493348836898804},{"id":"https://openalex.org/C86266404","wikidata":"https://www.wikidata.org/wiki/Q7832512","display_name":"Traffic optimization","level":4,"score":0.486858069896698},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4644702970981598},{"id":"https://openalex.org/C2985695025","wikidata":"https://www.wikidata.org/wiki/Q4323994","display_name":"Road traffic","level":2,"score":0.4616829752922058},{"id":"https://openalex.org/C25492975","wikidata":"https://www.wikidata.org/wiki/Q960570","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","level":3,"score":0.44261226058006287},{"id":"https://openalex.org/C2780689630","wikidata":"https://www.wikidata.org/wiki/Q2081815","display_name":"Driving simulator","level":2,"score":0.41167202591896057},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36707550287246704},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.33715835213661194},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3088657259941101},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.16431233286857605},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1080/15472450.2023.2186229","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2023.2186229","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Transportation Systems","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2409.11623","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.11623","pdf_url":"https://arxiv.org/pdf/2409.11623","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:mdsoar.org:11603/27616","is_oa":false,"landing_page_url":"http://hdl.handle.net/11603/27616","pdf_url":null,"source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"doi:10.13016/m2noeb-cddx","is_oa":true,"landing_page_url":"https://doi.org/10.13016/m2noeb-cddx","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2409.11623","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.11623","pdf_url":"https://arxiv.org/pdf/2409.11623","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.800000011920929,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4323974780.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1978701827","https://openalex.org/W1996058270","https://openalex.org/W2065840107","https://openalex.org/W2080782477","https://openalex.org/W2122653730","https://openalex.org/W2131579350","https://openalex.org/W2254029039","https://openalex.org/W2539598702","https://openalex.org/W2617772119","https://openalex.org/W2753262184","https://openalex.org/W2755888577","https://openalex.org/W2755923768","https://openalex.org/W2765530776","https://openalex.org/W2774367012","https://openalex.org/W2809573630","https://openalex.org/W2903709398","https://openalex.org/W2917037252","https://openalex.org/W2965715266","https://openalex.org/W2988904175","https://openalex.org/W3005765561","https://openalex.org/W3007390775","https://openalex.org/W3101922334","https://openalex.org/W3102697445","https://openalex.org/W3127902378","https://openalex.org/W3212318361","https://openalex.org/W3217043944","https://openalex.org/W4205146220"],"related_works":["https://openalex.org/W2361775397","https://openalex.org/W4256033520","https://openalex.org/W2064543875","https://openalex.org/W642444140","https://openalex.org/W2540942508","https://openalex.org/W2317511064","https://openalex.org/W2161957991","https://openalex.org/W2972320057","https://openalex.org/W2378437311","https://openalex.org/W4210652692"],"abstract_inverted_index":{"The":[0,100,123],"major":[1],"advances":[2],"in":[3,21,52],"intelligent":[4],"transportation":[5],"systems":[6],"are":[7,44],"pushing":[8],"societal":[9],"services":[10],"toward":[11],"autonomy":[12],"where":[13,55,92,110],"road":[14,107],"management":[15,109],"is":[16,37,58,103,120],"to":[17,23,29,46],"be":[18,47,136],"more":[19],"agile":[20],"order":[22],"cope":[24],"with":[25],"changes":[26],"and":[27],"continue":[28],"yield":[30],"optimal":[31],"performance.":[32],"However,":[33],"the":[34,63,111,139],"pedestrian":[35,56,94],"experience":[36],"not":[38,50,83],"sufficiently":[39],"considered.":[40],"Particularly,":[41],"signalized":[42,74],"intersections":[43],"expected":[45],"popular":[48],"if":[49],"dominant":[51],"urban":[53],"settings":[54],"density":[57],"high.":[59],"This":[60],"paper":[61],"presents":[62],"design":[64],"of":[65,114,133],"a":[66,77,81],"novel":[67],"environment":[68],"for":[69,105,116,138],"simulating":[70],"human":[71],"motion":[72],"on":[73],"crosswalks":[75],"at":[76],"fine-grained":[78],"level.":[79],"Such":[80],"simulation":[82],"only":[84],"captures":[85],"typical":[86],"behavior,":[87],"but":[88],"also":[89],"handles":[90],"cases":[91],"large":[93],"groups":[95],"cross":[96],"from":[97],"both":[98],"directions.":[99],"proposed":[101],"simulator":[102,151],"instrumental":[104],"optimized":[106,153],"configuration":[108],"pedestrians\u2019":[112,159],"quality":[113],"experience,":[115],"example,":[117],"waiting":[118,160],"time,":[119],"factored":[121],"in.":[122],"validation":[124],"results":[125,144],"using":[126,145],"field":[127],"data":[128,147],"show":[129,148],"that":[130,149,157],"an":[131],"accuracy":[132],"98.37%":[134],"can":[135],"obtained":[137],"estimated":[140],"crossing":[141],"time.":[142],"Other":[143],"synthetic":[146],"our":[150],"enables":[152],"traffic":[154],"light":[155],"scheduling":[156],"diminishes":[158],"time":[161],"without":[162],"sacrificing":[163],"vehicular":[164],"throughput.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
