{"id":"https://openalex.org/W2563037774","doi":"https://doi.org/10.1109/itsc.2016.7795889","title":"Estimating signal phase and timing for traffic actuated intersections based on low frequency Floating Car Data","display_name":"Estimating signal phase and timing for traffic actuated intersections based on low frequency Floating Car Data","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2563037774","doi":"https://doi.org/10.1109/itsc.2016.7795889","mag":"2563037774"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2016.7795889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","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/A5085769169","display_name":"Steffen Axer","orcid":"https://orcid.org/0000-0002-6189-0161"},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Steffen Axer","raw_affiliation_strings":["Technische Universit&#x00E4;t Braunschweig, Braunschweig, 38114, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit&#x00E4;t Braunschweig, Braunschweig, 38114, Germany","institution_ids":["https://openalex.org/I94509681"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002067480","display_name":"Bernhard Friedrich","orcid":"https://orcid.org/0000-0003-4290-3614"},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernhard Friedrich","raw_affiliation_strings":["Technische Universit&#x00E4;t Braunschweig, Braunschweig, 38114, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit&#x00E4;t Braunschweig, Braunschweig, 38114, Germany","institution_ids":["https://openalex.org/I94509681"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94509681"],"apc_list":null,"apc_paid":null,"fwci":1.4463,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.86750659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2059","last_page":"2064"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9789000153541565,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.953000009059906,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7105385065078735},{"id":"https://openalex.org/keywords/signal-timing","display_name":"Signal timing","score":0.7095199823379517},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6731547117233276},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47398629784584045},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4555768072605133},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4519793391227722},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.45103487372398376},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3273482322692871},{"id":"https://openalex.org/keywords/traffic-signal","display_name":"Traffic signal","score":0.2877662777900696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13628315925598145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1311553716659546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7105385065078735},{"id":"https://openalex.org/C2776006172","wikidata":"https://www.wikidata.org/wiki/Q7512741","display_name":"Signal timing","level":3,"score":0.7095199823379517},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6731547117233276},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47398629784584045},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4555768072605133},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4519793391227722},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.45103487372398376},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3273482322692871},{"id":"https://openalex.org/C2987419075","wikidata":"https://www.wikidata.org/wiki/Q8004","display_name":"Traffic signal","level":2,"score":0.2877662777900696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13628315925598145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1311553716659546},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2016.7795889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1557432389","https://openalex.org/W1892113842","https://openalex.org/W1965608538","https://openalex.org/W1970265040","https://openalex.org/W2000305036","https://openalex.org/W2082285763","https://openalex.org/W2436256380","https://openalex.org/W2572099955","https://openalex.org/W2623317824","https://openalex.org/W4251428492","https://openalex.org/W6641845557","https://openalex.org/W6732206523","https://openalex.org/W6739048105"],"related_works":["https://openalex.org/W2060320303","https://openalex.org/W4376321288","https://openalex.org/W131310695","https://openalex.org/W2518628522","https://openalex.org/W2886130170","https://openalex.org/W603124777","https://openalex.org/W2048800612","https://openalex.org/W2336935611","https://openalex.org/W645455625","https://openalex.org/W3112926124"],"abstract_inverted_index":{"The":[0,90,150],"objective":[1],"of":[2,11,18,63,73,96,124],"this":[3],"paper":[4,91],"is":[5,137],"the":[6,16,57,61,93,116,122,142],"application":[7],"and":[8,21,28,43,109,119,162],"statistical":[9,170],"analysis":[10,171],"a":[12,125,134,169],"methodology":[13],"that":[14],"allows":[15],"estimation":[17,117,145],"Signal":[19],"Phase":[20],"Timing":[22],"(SPaT)":[23],"information":[24],"like":[25],"cycle":[26,97],"length":[27,98],"green":[29],"time":[30],"intervals":[31],"for":[32],"time-dependent":[33],"fixed-time":[34,87],"controlled":[35,88],"or":[36,85],"traffic":[37,74],"actuated":[38,75],"intersections":[39],"based":[40,129],"on":[41,86,130],"low-frequency":[42,156],"sparse":[44],"vehicular":[45],"probe":[46],"data,":[47],"so":[48],"called":[49],"Floating":[50],"Car":[51],"Data":[52],"(FCD).":[53],"To":[54,114],"infer":[55],"SPaT,":[56],"applied":[58],"approach":[59],"exploits":[60],"effects":[62],"periodic":[64],"signal":[65,111,126,143],"control,":[66],"which":[67,140],"will":[68],"occur":[69],"typically":[70],"in":[71,82],"case":[72],"signals":[76],"with":[77,147],"high":[78],"saturation":[79],"levels":[80],"(e.g.":[81],"peak":[83],"hours)":[84],"intersections.":[89],"summarizes":[92],"fundamental":[94],"concepts":[95],"estimation,":[99],"as":[100,102],"well":[101],"data":[103,154],"filtering,":[104],"needed":[105],"to":[106,120],"achieve":[107],"robust":[108],"reliable":[110],"timing":[112,127,144],"estimates.":[113],"prove":[115],"concept":[118],"ensure":[121],"capability":[123],"forecast":[128],"ex":[131],"ante":[132],"estimates,":[133],"micro":[135],"simulation":[136,151],"carried":[138],"out,":[139],"supplies":[141],"process":[146],"simulated":[148,176],"FCD.":[149],"model":[152],"takes":[153],"sparsity,":[155],"(i.e.":[157],"15":[158],"sec.":[159],"sampling":[160],"interval)":[161],"erroneous":[163],"vehicle":[164],"positions":[165],"into":[166],"account.":[167],"Finally,":[168],"compares":[172],"inferred":[173],"estimates":[174],"against":[175],"ground":[177],"truth.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
