{"id":"https://openalex.org/W4226512930","doi":"https://doi.org/10.1109/thms.2022.3158201","title":"Driver-Pedestrian Perceptual Models Demonstrate Coupling: Implications for Vehicle Automation","display_name":"Driver-Pedestrian Perceptual Models Demonstrate Coupling: Implications for Vehicle Automation","publication_year":2022,"publication_date":"2022-03-31","ids":{"openalex":"https://openalex.org/W4226512930","doi":"https://doi.org/10.1109/thms.2022.3158201"},"language":"en","primary_location":{"id":"doi:10.1109/thms.2022.3158201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2022.3158201","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073341901","display_name":"Joshua Domeyer","orcid":"https://orcid.org/0000-0002-0857-0767"},"institutions":[{"id":"https://openalex.org/I4210093665","display_name":"Toyota Motor North America (United States)","ror":"https://ror.org/0076knn86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210093665","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua E. Domeyer","raw_affiliation_strings":["Toyota Collaborative Safety Research Center, Toyota Motor North America, Ann Arbor, MI, USA"],"raw_orcid":"https://orcid.org/0000-0002-0857-0767","affiliations":[{"raw_affiliation_string":"Toyota Collaborative Safety Research Center, Toyota Motor North America, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I4210093665"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000048328","display_name":"John D. Lee","orcid":"https://orcid.org/0000-0001-9808-2160"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John D. Lee","raw_affiliation_strings":["Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA"],"raw_orcid":"https://orcid.org/0000-0001-9808-2160","affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044904792","display_name":"Heishiro Toyoda","orcid":"https://orcid.org/0000-0003-4871-7070"},"institutions":[{"id":"https://openalex.org/I4210093665","display_name":"Toyota Motor North America (United States)","ror":"https://ror.org/0076knn86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210093665","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heishiro Toyoda","raw_affiliation_strings":["Toyota Collaborative Safety Research Center, Toyota Motor North America, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toyota Collaborative Safety Research Center, Toyota Motor North America, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I4210093665"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054532975","display_name":"Bruce Mehler","orcid":"https://orcid.org/0000-0001-5929-4179"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bruce Mehler","raw_affiliation_strings":["MIT Center for Transportation and Logistics, Cambridge, MA, USA"],"raw_orcid":"https://orcid.org/0000-0001-5929-4179","affiliations":[{"raw_affiliation_string":"MIT Center for Transportation and Logistics, Cambridge, MA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033143153","display_name":"Bryan Reimer","orcid":"https://orcid.org/0000-0003-4850-8738"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bryan Reimer","raw_affiliation_strings":["MIT Center for Transportation and Logistics, Cambridge, MA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4850-8738","affiliations":[{"raw_affiliation_string":"MIT Center for Transportation and Logistics, Cambridge, MA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4715,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.92276489,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"52","issue":"4","first_page":"557","last_page":"566"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.7062102556228638},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6176166534423828},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5763289332389832},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5624929070472717},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5277621746063232},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4753548800945282},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.45932242274284363},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.375966876745224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2910434603691101},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2638036608695984},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.20657393336296082},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09196963906288147}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7062102556228638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6176166534423828},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5763289332389832},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5624929070472717},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5277621746063232},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4753548800945282},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.45932242274284363},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.375966876745224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2910434603691101},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2638036608695984},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.20657393336296082},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09196963906288147},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/thms.2022.3158201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2022.3158201","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334454","display_name":"Toyota Collaborative Safety Research Center","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1563951143","https://openalex.org/W1656031401","https://openalex.org/W1968682501","https://openalex.org/W1980250221","https://openalex.org/W2006912343","https://openalex.org/W2008653298","https://openalex.org/W2016151598","https://openalex.org/W2018260930","https://openalex.org/W2024649868","https://openalex.org/W2035097838","https://openalex.org/W2037628672","https://openalex.org/W2061115520","https://openalex.org/W2065266611","https://openalex.org/W2075746405","https://openalex.org/W2076531599","https://openalex.org/W2086207208","https://openalex.org/W2091069417","https://openalex.org/W2092416176","https://openalex.org/W2103956032","https://openalex.org/W2138502710","https://openalex.org/W2140136009","https://openalex.org/W2153676627","https://openalex.org/W2154708076","https://openalex.org/W2184451806","https://openalex.org/W2215636392","https://openalex.org/W2277437543","https://openalex.org/W2286247980","https://openalex.org/W2318872713","https://openalex.org/W2576845151","https://openalex.org/W2592496287","https://openalex.org/W2606385607","https://openalex.org/W2749069611","https://openalex.org/W2756321254","https://openalex.org/W2756874185","https://openalex.org/W2771583656","https://openalex.org/W2782064812","https://openalex.org/W2782665542","https://openalex.org/W2794233897","https://openalex.org/W2800727637","https://openalex.org/W2807162238","https://openalex.org/W2885800163","https://openalex.org/W2908550123","https://openalex.org/W2940962072","https://openalex.org/W2946211012","https://openalex.org/W2959716684","https://openalex.org/W2962739020","https://openalex.org/W2963697717","https://openalex.org/W2968243155","https://openalex.org/W2972947022","https://openalex.org/W2990116160","https://openalex.org/W2991484432","https://openalex.org/W3002302528","https://openalex.org/W3008700642","https://openalex.org/W3010871526","https://openalex.org/W3011603866","https://openalex.org/W3011630888","https://openalex.org/W3034688679","https://openalex.org/W3035172263","https://openalex.org/W3047614479","https://openalex.org/W3090622150","https://openalex.org/W3104747504","https://openalex.org/W3111649804","https://openalex.org/W3157852037","https://openalex.org/W3160317559","https://openalex.org/W3160600652","https://openalex.org/W4211017739","https://openalex.org/W4232976691","https://openalex.org/W4248056173","https://openalex.org/W4301141993","https://openalex.org/W4301357669","https://openalex.org/W4301866523","https://openalex.org/W6636929737","https://openalex.org/W6768563626"],"related_works":["https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W3122828758","https://openalex.org/W2101960027","https://openalex.org/W4205958986","https://openalex.org/W2197846993","https://openalex.org/W49697837","https://openalex.org/W2586575957","https://openalex.org/W2170799233","https://openalex.org/W4320736889"],"abstract_inverted_index":{"Developing":[0],"vehicle":[1,29,214],"automation":[2,30,215],"that":[3,134,171],"accommodates":[4],"other":[5,32],"road":[6,33],"users":[7,34],"and":[8,17,31,42,56,64,68,101,120,123,129,151,161,167,174,199,210,225,228],"exhibits":[9],"familiar":[10],"behaviors":[11],"may":[12,192],"enhance":[13],"traffic":[14],"safety,":[15,165],"efficiency,":[16,166],"fairness,":[18],"leading":[19],"to":[20,59,95,157,194],"tolerance":[21],"of":[22,49,79,98,118,148,182,205],"the":[23,26,47,114,135,146,172,183,206],"technology.":[24],"However,":[25],"interdependence":[27],"between":[28,113,208],"makes":[35],"them":[36],"more":[37],"challenging":[38],"than":[39],"typical":[40],"control":[41],"path":[43],"planning":[44],"tasks.":[45],"Through":[46],"lens":[48],"joint":[50],"activity":[51,74],"theory,":[52],"we":[53],"model":[54],"driver":[55,100,127],"pedestrian":[57,102,130,149],"behavior":[58,144],"explore":[60],"how":[61,124,139,152],"they":[62,125],"balance":[63],"negotiate":[65],"competing":[66],"risk":[67,119,153,160],"velocity":[69,121,162],"goals":[70],"through":[71],"movement.":[72],"Joint":[73],"theory":[75],"informs":[76],"an":[77],"interpretation":[78],"these":[80],"movements":[81],"as":[82],"signals,":[83],"which":[84,191],"can":[85,212],"be":[86],"associated":[87],"with":[88],"perceptual":[89,103,177],"processes.":[90],"We":[91,132],"use":[92],"simulation-based":[93],"inference":[94],"estimate":[96],"parameters":[97,163,173],"coupled":[99,136],"models":[104,110,178,204],"using":[105],"naturalistic":[106],"driving":[107],"data.":[108],"Perceptual":[109],"provide":[111],"links":[112],"processes":[115],"guiding":[116],"evaluation":[117],"maintenance,":[122],"govern":[126],"acceleration":[128],"walking.":[131],"found":[133],"simulations":[137],"describe":[138,179],"drivers":[140,209],"adjust":[141],"their":[142,175,196],"yielding":[143],"in":[145],"face":[147],"risk,":[150],"affects":[154],"pedestrians\u2019":[155],"decisions":[156],"cross.":[158],"Dynamic":[159,203],"predicted":[164],"fairness":[168],"outcomes,":[169],"suggesting":[170],"dynamic":[176],"important":[180],"components":[181],"interactions.":[184],"Traditional":[185],"approaches":[186],"employ":[187],"static,":[188],"summary":[189],"predictors,":[190],"fail":[193],"capture":[195],"continuous":[197],"evolution":[198],"negotiation":[200],"over":[201],"time.":[202],"interaction":[207,223],"pedestrians":[211],"inform":[213],"by":[216],"identifying":[217],"deviations":[218],"from":[219],"communication":[220,227],"norms,":[221],"extracting":[222],"features,":[224],"evaluating":[226],"coordination.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
