{"id":"https://openalex.org/W2066836595","doi":"https://doi.org/10.1109/itsc.2013.6728497","title":"An automated statistically-principled bottleneck identification algorithm (ASBIA)","display_name":"An automated statistically-principled bottleneck identification algorithm (ASBIA)","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2066836595","doi":"https://doi.org/10.1109/itsc.2013.6728497","mag":"2066836595"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2013.6728497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2013.6728497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","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/A5048069896","display_name":"Mohammed Elhenawy","orcid":"https://orcid.org/0000-0003-2634-4576"},"institutions":[{"id":"https://openalex.org/I2800634083","display_name":"Bradley Hospital","ror":"https://ror.org/02mx8nz45","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2800634083","https://openalex.org/I4210151747"]},{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohammed Elhenawy","raw_affiliation_strings":["Bradley Department of Electrical and Computer Engineering Electrical & Computer Engineering, Blacksburg, VA","[Bradley Dept. of Electr. & Comput. Eng., Virginia Tech, Blacksburg, VA, USA]"],"affiliations":[{"raw_affiliation_string":"Bradley Department of Electrical and Computer Engineering Electrical & Computer Engineering, Blacksburg, VA","institution_ids":["https://openalex.org/I2800634083"]},{"raw_affiliation_string":"[Bradley Dept. of Electr. & Comput. Eng., Virginia Tech, Blacksburg, VA, USA]","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002736916","display_name":"Hesham Rakha","orcid":"https://orcid.org/0000-0002-5845-2929"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hesham A. Rakha","raw_affiliation_strings":["Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA","Charles E. Via, Jr. Dept. of Civil & Environ. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Charles E. Via, Jr. Dept. of Civil & Environ. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109676951","display_name":"Hao Chen","orcid":"https://orcid.org/0009-0004-2695-9743"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Chen","raw_affiliation_strings":["Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA","Charles E. Via, Jr. Dept. of Civil & Environ. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Charles E. Via, Jr. Dept. of Civil & Environ. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048069896"],"corresponding_institution_ids":["https://openalex.org/I2800634083","https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":1.86,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86793249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1484","issue":null,"first_page":"1846","last_page":"1851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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/T10524","display_name":"Traffic control and management","score":0.9976999759674072,"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/T10370","display_name":"Traffic and Road Safety","score":0.98580002784729,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.9643963575363159},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7436490058898926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7418903112411499},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6014150381088257},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.568958044052124},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5329853892326355},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5231783986091614},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4336111545562744},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32114744186401367},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.09552273154258728},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08097821474075317}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.9643963575363159},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7436490058898926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7418903112411499},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6014150381088257},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.568958044052124},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5329853892326355},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5231783986091614},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4336111545562744},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32114744186401367},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.09552273154258728},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08097821474075317},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2013.6728497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2013.6728497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W172971952","https://openalex.org/W1533410810","https://openalex.org/W1996819144","https://openalex.org/W2006840587","https://openalex.org/W2008452187","https://openalex.org/W2012152938","https://openalex.org/W2075278989","https://openalex.org/W2102314894","https://openalex.org/W2107585274","https://openalex.org/W2158262405","https://openalex.org/W4251698711","https://openalex.org/W6606991543","https://openalex.org/W6631799130","https://openalex.org/W6652374001","https://openalex.org/W6675817558"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W2748922771","https://openalex.org/W1987128138","https://openalex.org/W2982428536"],"abstract_inverted_index":{"Bottlenecks":[0],"are":[1,99],"key":[2],"features":[3],"of":[4,10,15,24,34,63,84,96,102,113],"any":[5],"freeway":[6,36],"system.":[7],"The":[8,65,94,117],"deployment":[9],"stationary":[11],"sensors":[12],"and":[13,57,74,77,92,109],"proliferation":[14],"mobile":[16],"vehicle":[17],"probes":[18],"provides":[19],"researchers":[20],"with":[21],"a":[22,85],"wealth":[23],"data":[25,123],"that":[26],"can":[27],"be":[28],"used":[29],"for":[30,89],"the":[31,60,82,97,100,103,110,114,125,132],"automatic":[32],"identification":[33,143],"active":[35],"bottlenecks.":[37,64],"In":[38],"this":[39],"paper":[40],"we":[41],"introduce":[42],"an":[43],"automated":[44],"statistically":[45],"principled":[46],"algorithm":[47,67,98],"to":[48,80],"characterize":[49],"traffic":[50],"into":[51],"two":[52],"states:":[53],"free-flow":[54],"or":[55,107],"congested":[56],"subsequently":[58],"identify":[59,81],"spatiotemporal":[61,90],"activation":[62],"proposed":[66],"uses":[68],"speed":[69],"measurements":[70],"over":[71,140],"short":[72],"temporal":[73],"spatial":[75],"intervals":[76],"segments,":[78],"respectively":[79],"status":[83,101],"segment":[86,105],"while":[87],"accounting":[88],"correlations":[91],"interactions.":[93],"outputs":[95],"roadway":[104],"(free-flow":[106],"congested)":[108],"confidence":[111],"level":[112],"test":[115],"(p-value).":[116],"experimental":[118],"results":[119],"based":[120],"on":[121],"archived":[122],"from":[124],"northbound":[126],"Interstate":[127],"5":[128],"(I-5)":[129],"corridor":[130],"in":[131],"Portland,":[133],"Oregon,":[134],"metropolitan":[135],"region":[136],"demonstrates":[137],"significant":[138],"improvements":[139],"state-of-the-art":[141],"bottleneck":[142],"algorithms.":[144]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
