{"id":"https://openalex.org/W2116904573","doi":"https://doi.org/10.1109/itsc.2008.4732529","title":"The Markov-Gap CA Model for Entering Gaps and Departure Headways at Signalized Intersections","display_name":"The Markov-Gap CA Model for Entering Gaps and Departure Headways at Signalized Intersections","publication_year":2008,"publication_date":"2008-10-01","ids":{"openalex":"https://openalex.org/W2116904573","doi":"https://doi.org/10.1109/itsc.2008.4732529","mag":"2116904573"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2008.4732529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2008.4732529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 11th International IEEE Conference on Intelligent Transportation 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/A5100702414","display_name":"Wang Fa","orcid":"https://orcid.org/0000-0002-8040-8676"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fa Wang","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","Dept. of Autom., Tsinghua Univ., Beijing#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Autom., Tsinghua Univ., Beijing#TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110369497","display_name":"Yan Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Ji","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","Dept. of Autom., Tsinghua Univ., Beijing#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Autom., Tsinghua Univ., Beijing#TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008046151","display_name":"LI Li","orcid":"https://orcid.org/0009-0002-1675-0861"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Li","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","Dept. of Autom., Tsinghua Univ., Beijing#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Autom., Tsinghua Univ., Beijing#TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101570773","display_name":"Jianming Hu","orcid":"https://orcid.org/0000-0001-8065-7309"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianming Hu","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","Dept. of Autom., Tsinghua Univ., Beijing#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Autom., Tsinghua Univ., Beijing#TAB#","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100702414"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.645,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86968212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"627","last_page":"632"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9994999766349792,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social 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":0.9807000160217285,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/headway","display_name":"Headway","score":0.8829058408737183},{"id":"https://openalex.org/keywords/soundness","display_name":"Soundness","score":0.6018027067184448},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.5814254283905029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5557382702827454},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5381494760513306},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5372151732444763},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5303434133529663},{"id":"https://openalex.org/keywords/cellular-automaton","display_name":"Cellular automaton","score":0.5007274150848389},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.438117653131485},{"id":"https://openalex.org/keywords/microscopic-traffic-flow-model","display_name":"Microscopic traffic flow model","score":0.436162531375885},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4167250394821167},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.40803325176239014},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.34166425466537476},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3259158134460449},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.2829511761665344},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2737901210784912},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23541826009750366},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17062726616859436},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.15482544898986816},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.14295804500579834},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1191510260105133},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10865461826324463}],"concepts":[{"id":"https://openalex.org/C2779240695","wikidata":"https://www.wikidata.org/wiki/Q4383682","display_name":"Headway","level":2,"score":0.8829058408737183},{"id":"https://openalex.org/C39920170","wikidata":"https://www.wikidata.org/wiki/Q693083","display_name":"Soundness","level":2,"score":0.6018027067184448},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.5814254283905029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5557382702827454},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5381494760513306},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5372151732444763},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5303434133529663},{"id":"https://openalex.org/C35527583","wikidata":"https://www.wikidata.org/wiki/Q189156","display_name":"Cellular automaton","level":2,"score":0.5007274150848389},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.438117653131485},{"id":"https://openalex.org/C205269179","wikidata":"https://www.wikidata.org/wiki/Q17144160","display_name":"Microscopic traffic flow model","level":3,"score":0.436162531375885},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4167250394821167},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.40803325176239014},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.34166425466537476},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3259158134460449},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2829511761665344},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2737901210784912},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23541826009750366},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17062726616859436},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.15482544898986816},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.14295804500579834},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1191510260105133},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10865461826324463},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2008.4732529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2008.4732529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 11th International IEEE Conference on Intelligent Transportation Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W592669554","https://openalex.org/W648598126","https://openalex.org/W1514324734","https://openalex.org/W1876206027","https://openalex.org/W1968508709","https://openalex.org/W1991879721","https://openalex.org/W1992287123","https://openalex.org/W2016891797","https://openalex.org/W2034173802","https://openalex.org/W2045847507","https://openalex.org/W2087839462","https://openalex.org/W2105974243","https://openalex.org/W2115694596","https://openalex.org/W2127795503","https://openalex.org/W2134711723","https://openalex.org/W2154376416","https://openalex.org/W2167476583","https://openalex.org/W3102064265","https://openalex.org/W4212922449","https://openalex.org/W4298110920","https://openalex.org/W6617560140","https://openalex.org/W6891647715","https://openalex.org/W7055681840"],"related_works":["https://openalex.org/W2381642951","https://openalex.org/W2376442306","https://openalex.org/W2079041947","https://openalex.org/W38319381","https://openalex.org/W2575089267","https://openalex.org/W2233646420","https://openalex.org/W9202957","https://openalex.org/W2366544704","https://openalex.org/W1799862183","https://openalex.org/W2355643905"],"abstract_inverted_index":{"Modeling":[0],"gaps/headways":[1],"has":[2],"many":[3,12],"applications":[4],"in":[5,18,40],"traffic":[6,54,103],"theory":[7],"and":[8,28,92,96,112],"transportation":[9],"operations.":[10],"Recently,":[11],"researchers":[13],"begin":[14],"to":[15,99],"show":[16],"interests":[17],"microscopic":[19],"simulation":[20,110],"based":[21],"interpretations":[22],"on":[23,49,68],"the":[24,70,101,109,116,119],"formulation":[25],"of":[26,52,118],"gap":[27,78],"headway":[29],"distributions.":[30],"However,":[31],"there":[32],"are":[33],"few":[34],"cellular":[35],"automata":[36],"(CA)":[37],"model":[38,76],"proposed":[39],"this":[41,57],"area,":[42],"since":[43],"most":[44],"current":[45],"CA":[46,63,121],"models":[47,64],"focus":[48],"phase":[50],"transitions":[51],"freeway":[53],"only.":[55],"In":[56],"paper,":[58],"a":[59,94],"so":[60],"called":[61],"Markov-Gap":[62,120],"is":[65],"proposed,":[66],"aiming":[67],"fitting":[69],"empirical":[71,113],"gap/headway":[72],"distributions":[73],"collected.":[74],"The":[75,106],"treats":[77],"variations":[79],"between":[80,108],"consecutive":[81],"vehicles":[82],"approaching":[83],"or":[84],"leaving":[85],"signalized":[86],"intersections":[87],"as":[88],"different":[89],"Markov":[90],"processes":[91],"provides":[93],"concise":[95],"uniform":[97],"method":[98],"describe":[100],"observed":[102],"flow":[104],"phenomena.":[105],"agreement":[107],"results":[111],"data":[114],"suggests":[115],"soundness":[117],"model.":[122]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
