{"id":"https://openalex.org/W1970265040","doi":"https://doi.org/10.1109/ntms.2012.6208704","title":"Learning Traffic Light Phase Schedules from Velocity Profiles in the Cloud","display_name":"Learning Traffic Light Phase Schedules from Velocity Profiles in the Cloud","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W1970265040","doi":"https://doi.org/10.1109/ntms.2012.6208704","mag":"1970265040"},"language":"en","primary_location":{"id":"doi:10.1109/ntms.2012.6208704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ntms.2012.6208704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 5th International Conference on New Technologies, Mobility and Security (NTMS)","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/A5085392664","display_name":"Markus Kerper","orcid":null},"institutions":[{"id":"https://openalex.org/I8659980","display_name":"Volkswagen Group (United States)","ror":"https://ror.org/034e5n787","country_code":"US","type":"company","lineage":["https://openalex.org/I1319473763","https://openalex.org/I8659980"]},{"id":"https://openalex.org/I1319473763","display_name":"Volkswagen Group (Germany)","ror":"https://ror.org/01f3bhg26","country_code":"DE","type":"company","lineage":["https://openalex.org/I1319473763"]}],"countries":["DE","US"],"is_corresponding":true,"raw_author_name":"Markus Kerper","raw_affiliation_strings":["Driver Information Systems Research, Volkswagen Group, Germany","Driver Inf. Syst. Res., Volkswagen Group, Germany"],"affiliations":[{"raw_affiliation_string":"Driver Information Systems Research, Volkswagen Group, Germany","institution_ids":["https://openalex.org/I1319473763"]},{"raw_affiliation_string":"Driver Inf. Syst. Res., Volkswagen Group, Germany","institution_ids":["https://openalex.org/I8659980"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014301836","display_name":"Christian Wewetzer","orcid":null},"institutions":[{"id":"https://openalex.org/I1319473763","display_name":"Volkswagen Group (Germany)","ror":"https://ror.org/01f3bhg26","country_code":"DE","type":"company","lineage":["https://openalex.org/I1319473763"]},{"id":"https://openalex.org/I8659980","display_name":"Volkswagen Group (United States)","ror":"https://ror.org/034e5n787","country_code":"US","type":"company","lineage":["https://openalex.org/I1319473763","https://openalex.org/I8659980"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Christian Wewetzer","raw_affiliation_strings":["Driver Information Systems Research, Volkswagen Group, Germany","Driver Inf. Syst. Res., Volkswagen Group, Germany"],"affiliations":[{"raw_affiliation_string":"Driver Information Systems Research, Volkswagen Group, Germany","institution_ids":["https://openalex.org/I1319473763"]},{"raw_affiliation_string":"Driver Inf. Syst. Res., Volkswagen Group, Germany","institution_ids":["https://openalex.org/I8659980"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018606079","display_name":"Andreas Sasse","orcid":null},"institutions":[{"id":"https://openalex.org/I1319473763","display_name":"Volkswagen Group (Germany)","ror":"https://ror.org/01f3bhg26","country_code":"DE","type":"company","lineage":["https://openalex.org/I1319473763"]},{"id":"https://openalex.org/I8659980","display_name":"Volkswagen Group (United States)","ror":"https://ror.org/034e5n787","country_code":"US","type":"company","lineage":["https://openalex.org/I1319473763","https://openalex.org/I8659980"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Andreas Sasse","raw_affiliation_strings":["Driver Information Systems Research, Volkswagen Group, Germany","Driver Inf. Syst. Res., Volkswagen Group, Germany"],"affiliations":[{"raw_affiliation_string":"Driver Information Systems Research, Volkswagen Group, Germany","institution_ids":["https://openalex.org/I1319473763"]},{"raw_affiliation_string":"Driver Inf. Syst. Res., Volkswagen Group, Germany","institution_ids":["https://openalex.org/I8659980"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031308409","display_name":"Martin Mauve","orcid":null},"institutions":[{"id":"https://openalex.org/I44260953","display_name":"Heinrich Heine University D\u00fcsseldorf","ror":"https://ror.org/024z2rq82","country_code":"DE","type":"education","lineage":["https://openalex.org/I44260953"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Mauve","raw_affiliation_strings":["Computer Networks Group, University of D\u00fcsseldorf, Germany","Comput. Networks Group, Univ. of Dusseldorf, Dusseldorf, Germany"],"affiliations":[{"raw_affiliation_string":"Computer Networks Group, University of D\u00fcsseldorf, Germany","institution_ids":["https://openalex.org/I44260953"]},{"raw_affiliation_string":"Comput. Networks Group, Univ. of Dusseldorf, Dusseldorf, Germany","institution_ids":["https://openalex.org/I44260953"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085392664"],"corresponding_institution_ids":["https://openalex.org/I1319473763","https://openalex.org/I8659980"],"apc_list":null,"apc_paid":null,"fwci":4.9828,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.94046235,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10524","display_name":"Traffic control and management","score":0.9991999864578247,"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/schedule","display_name":"Schedule","score":0.7455663084983826},{"id":"https://openalex.org/keywords/traffic-signal","display_name":"Traffic signal","score":0.621529221534729},{"id":"https://openalex.org/keywords/fuel-efficiency","display_name":"Fuel efficiency","score":0.6104094386100769},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5936518311500549},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.571854829788208},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.528449535369873},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.5045150518417358},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.40594103932380676},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.30340760946273804},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25156813859939575},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09394395351409912}],"concepts":[{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.7455663084983826},{"id":"https://openalex.org/C2987419075","wikidata":"https://www.wikidata.org/wiki/Q8004","display_name":"Traffic signal","level":2,"score":0.621529221534729},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.6104094386100769},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5936518311500549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.571854829788208},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.528449535369873},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.5045150518417358},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.40594103932380676},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.30340760946273804},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25156813859939575},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09394395351409912},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ntms.2012.6208704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ntms.2012.6208704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 5th International Conference on New Technologies, Mobility and Security (NTMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1827384124","https://openalex.org/W2102493235","https://openalex.org/W2117360852","https://openalex.org/W2152918251","https://openalex.org/W2747786764","https://openalex.org/W2789908593","https://openalex.org/W4240872499"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W1997222214","https://openalex.org/W2802581102","https://openalex.org/W2554897082"],"abstract_inverted_index":{"Traffic":[0,73],"lights":[1,104],"strongly":[2],"impact":[3],"vehicle":[4],"movement":[5],"and":[6,31,57],"fuel":[7,34],"consumption":[8],"in":[9,53,58,105],"cities.":[10],"If":[11],"drivers":[12,48],"were":[13],"aware":[14],"of":[15,88,101,120,127],"the":[16,24,65,81,106,118,128],"traffic":[17,25,40,89,103],"light":[18,26,41,90],"phase":[19,42,86,114],"schedule,":[20],"they":[21],"could":[22,32],"predict":[23],"state":[27],"at":[28],"arrival":[29],"time":[30],"reduce":[33],"consumption.":[35],"To":[36],"acquire":[37],"information":[38],"like":[39],"schedules,":[43],"our":[44],"vision":[45],"is":[46,122],"that":[47,78,113],"share":[49],"their":[50],"velocity":[51,82],"profiles":[52,83],"a":[54],"digital":[55],"cloud,":[56],"return":[59],"benefit":[60],"from":[61],"smart":[62],"algorithms":[63],"evaluating":[64],"collected":[66],"data.":[67],"We":[68,108],"present":[69,109],"one":[70],"such":[71],"algorithm,":[72],"Light":[74],"State":[75],"Estimation":[76],"(TLSE),":[77],"operates":[79],"on":[80,117],"to":[84],"backward-estimate":[85],"schedules":[87],"signal":[91],"groups":[92],"operating":[93],"with":[94],"fixed":[95],"cycle":[96],"length":[97],"(representing":[98],"about":[99],"80%":[100],"all":[102],"US).":[107],"simulation":[110],"results":[111],"showing":[112],"schedule":[115],"prediction":[116],"base":[119],"TLSE":[121],"correct":[123],"more":[124],"than":[125],"90%":[126],"time.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}