{"id":"https://openalex.org/W4309651781","doi":"https://doi.org/10.1145/3557915.3560965","title":"Evaluating and forecasting the operational performance of road intersections","display_name":"Evaluating and forecasting the operational performance of road intersections","publication_year":2022,"publication_date":"2022-11-01","ids":{"openalex":"https://openalex.org/W4309651781","doi":"https://doi.org/10.1145/3557915.3560965"},"language":"en","primary_location":{"id":"doi:10.1145/3557915.3560965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3557915.3560965","pdf_url":null,"source":{"id":"https://openalex.org/S4363608995","display_name":"Proceedings of the 30th International Conference on Advances in Geographic Information Systems","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-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/A5033639006","display_name":"Ali Nematichari","orcid":null},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ali Nematichari","raw_affiliation_strings":["York University, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025988818","display_name":"Tilemachos Pechlivanoglou","orcid":"https://orcid.org/0000-0002-5941-8992"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tilemachos Pechlivanoglou","raw_affiliation_strings":["York University, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008923918","display_name":"Manos Papagelis","orcid":"https://orcid.org/0000-0003-0138-2541"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Manos Papagelis","raw_affiliation_strings":["York University, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":1.3384,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.80325203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6943404674530029},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.6074689626693726},{"id":"https://openalex.org/keywords/traverse","display_name":"Traverse","score":0.5591983795166016},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.5129077434539795},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.48532551527023315},{"id":"https://openalex.org/keywords/situation-awareness","display_name":"Situation awareness","score":0.43072509765625},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4188457131385803},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.41728100180625916},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.28200632333755493},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18967965245246887}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6943404674530029},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6074689626693726},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.5591983795166016},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5129077434539795},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.48532551527023315},{"id":"https://openalex.org/C145804949","wikidata":"https://www.wikidata.org/wiki/Q478123","display_name":"Situation awareness","level":2,"score":0.43072509765625},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4188457131385803},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.41728100180625916},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.28200632333755493},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18967965245246887},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3557915.3560965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3557915.3560965","pdf_url":null,"source":{"id":"https://openalex.org/S4363608995","display_name":"Proceedings of the 30th International Conference on Advances in Geographic Information Systems","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:yorkspace.library.yorku.ca:10315/40371","is_oa":false,"landing_page_url":"http://hdl.handle.net/10315/40371","pdf_url":null,"source":{"id":"https://openalex.org/S4306401988","display_name":"York University Digital Library (York University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I192455969","host_organization_name":"York University","host_organization_lineage":["https://openalex.org/I192455969"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Electronic Thesis or Dissertation"},{"id":"pmh:oai:yorkspace.library.yorku.ca:10315/40596","is_oa":false,"landing_page_url":"http://hdl.handle.net/10315/40596","pdf_url":null,"source":{"id":"https://openalex.org/S4306401988","display_name":"York University Digital Library (York University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I192455969","host_organization_name":"York University","host_organization_lineage":["https://openalex.org/I192455969"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Electronic Thesis or Dissertation"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2020763072","https://openalex.org/W2069069662","https://openalex.org/W2078639378","https://openalex.org/W2107160712","https://openalex.org/W2200726908","https://openalex.org/W2741460999","https://openalex.org/W2770188460","https://openalex.org/W2788997482","https://openalex.org/W2809128166","https://openalex.org/W2809623940","https://openalex.org/W2823573924","https://openalex.org/W2876125642","https://openalex.org/W2903871660","https://openalex.org/W2911826336","https://openalex.org/W2911937761","https://openalex.org/W2924028299","https://openalex.org/W2943793359","https://openalex.org/W2947014533","https://openalex.org/W2950817888","https://openalex.org/W2965399951","https://openalex.org/W2966584530","https://openalex.org/W2974725491","https://openalex.org/W2981664222","https://openalex.org/W2999440935","https://openalex.org/W3012562343","https://openalex.org/W3030299187","https://openalex.org/W3039588869","https://openalex.org/W3047801338","https://openalex.org/W3093451924","https://openalex.org/W3208577093","https://openalex.org/W4307492541"],"related_works":["https://openalex.org/W2377402383","https://openalex.org/W2380835401","https://openalex.org/W2381912691","https://openalex.org/W2350381577","https://openalex.org/W2353618196","https://openalex.org/W2348074676","https://openalex.org/W2385033175","https://openalex.org/W2374043190","https://openalex.org/W2363298784","https://openalex.org/W2367402697"],"abstract_inverted_index":{"Road":[0],"intersections":[1,45,111],"represent":[2],"one":[3],"of":[4,17,33,44,50,89,109,115,122,135,138,147,160,183],"the":[5,31,34,42,59,106,153,161,184],"most":[6],"complex":[7],"configurations":[8],"encountered":[9],"when":[10],"traversing":[11],"road":[12,77,110,148,185],"networks.":[13],"It":[14],"is":[15,70],"therefore":[16],"vital":[18],"importance":[19],"to":[20,40,58,72,130],"improve":[21,41,76],"their":[22],"operational":[23,107],"performance,":[24],"as":[25],"that":[26],"can":[27,172],"significantly":[28],"contribute":[29],"towards":[30],"efficiency":[32,43,79],"whole":[35],"transport":[36],"network.":[37],"Traditional":[38],"approaches":[39],"are":[46,169],"based":[47],"on":[48,61],"analysis":[49,157],"static":[51],"data":[52,127],"or":[53],"expert":[54],"opinions.":[55],"However,":[56],"due":[57],"advancements":[60],"Vehicle-to-Vehicle":[62],"(V2V)":[63],"and":[64,75,85,98,104,125,158,167,171],"Vehicle-to-Infrastructure":[65],"(V2I)":[66],"communication":[67],"technologies,":[68],"it":[69],"possible":[71],"enhance":[73],"safety":[74],"intersection":[78],"by":[80,112],"continuously":[81,131],"monitoring":[82,180],"traffic":[83,142],"conditions":[84],"enabling":[86],"situational":[87],"awareness":[88],"vehicle":[90],"drivers.":[91],"Towards":[92],"this":[93],"end,":[94],"we":[95],"design,":[96],"develop":[97],"evaluate":[99,132],"a":[100,133],"system":[101,119,154,165],"for":[102,141],"evaluating":[103],"forecasting":[105,182],"performance":[108],"mining":[113,124,128],"streams":[114],"V2I":[116],"data.":[117],"Our":[118],"makes":[120],"use":[121],"graph":[123],"trajectory":[126],"methods":[129,168],"set":[134],"well-defined":[136],"measures":[137],"effectiveness":[139],"(MOEs)":[140],"operations":[143],"at":[144],"different":[145],"levels":[146],"network":[149,186],"abstraction.":[150],"In":[151],"addition,":[152],"enables":[155],"interactive":[156],"exploration":[159],"various":[162,176],"MOEs.":[163],"The":[164],"architecture":[166],"general":[170],"be":[173],"used":[174],"in":[175],"settings":[177],"requiring":[178],"continuous":[179],"and/or":[181],"state.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}