{"id":"https://openalex.org/W2898754597","doi":"https://doi.org/10.1109/ccta.2018.8511368","title":"Pedestrian Phase Pattern Investigation in a Traffic Light Scheduling Problem for Signalized Network","display_name":"Pedestrian Phase Pattern Investigation in a Traffic Light Scheduling Problem for Signalized Network","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2898754597","doi":"https://doi.org/10.1109/ccta.2018.8511368","mag":"2898754597"},"language":"en","primary_location":{"id":"doi:10.1109/ccta.2018.8511368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta.2018.8511368","pdf_url":null,"source":{"id":"https://openalex.org/S4306498315","display_name":"2018 IEEE Conference on Control Technology and Applications (CCTA)","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":"2018 IEEE Conference on Control Technology and Applications (CCTA)","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/A5100388033","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0001-6055-9461"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046844818","display_name":"Rong Su","orcid":"https://orcid.org/0000-0003-3448-0586"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Rong Su","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100388033"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.5614,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.58176275,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/pedestrian","display_name":"Pedestrian","score":0.8757060766220093},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.6836197972297668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6521736979484558},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6401528716087341},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4851265847682953},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.47591930627822876},{"id":"https://openalex.org/keywords/pedestrian-crossing","display_name":"Pedestrian crossing","score":0.46748727560043335},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.4567176103591919},{"id":"https://openalex.org/keywords/traffic-signal","display_name":"Traffic signal","score":0.4325481057167053},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.41771259903907776},{"id":"https://openalex.org/keywords/traffic-congestion-reconstruction-with-kerners-three-phase-theory","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","score":0.4110727906227112},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22483453154563904},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2137911021709442},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.2108156383037567},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.14760491251945496},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08421015739440918}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.8757060766220093},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6836197972297668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6521736979484558},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6401528716087341},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4851265847682953},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.47591930627822876},{"id":"https://openalex.org/C2777819797","wikidata":"https://www.wikidata.org/wiki/Q8010","display_name":"Pedestrian crossing","level":3,"score":0.46748727560043335},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.4567176103591919},{"id":"https://openalex.org/C2987419075","wikidata":"https://www.wikidata.org/wiki/Q8004","display_name":"Traffic signal","level":2,"score":0.4325481057167053},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.41771259903907776},{"id":"https://openalex.org/C25492975","wikidata":"https://www.wikidata.org/wiki/Q960570","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","level":3,"score":0.4110727906227112},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22483453154563904},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2137911021709442},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.2108156383037567},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.14760491251945496},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08421015739440918}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccta.2018.8511368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta.2018.8511368","pdf_url":null,"source":{"id":"https://openalex.org/S4306498315","display_name":"2018 IEEE Conference on Control Technology and Applications (CCTA)","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":"2018 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"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":20,"referenced_works":["https://openalex.org/W170451980","https://openalex.org/W1964209420","https://openalex.org/W1976682795","https://openalex.org/W1983051630","https://openalex.org/W1985134130","https://openalex.org/W1992382061","https://openalex.org/W2009589219","https://openalex.org/W2033101893","https://openalex.org/W2037141248","https://openalex.org/W2090043140","https://openalex.org/W2100892800","https://openalex.org/W2147854076","https://openalex.org/W2588526336","https://openalex.org/W2615596949","https://openalex.org/W2762874334","https://openalex.org/W2783786145","https://openalex.org/W3023289647","https://openalex.org/W6606979346","https://openalex.org/W6681622668","https://openalex.org/W6733876594"],"related_works":["https://openalex.org/W187110833","https://openalex.org/W122740207","https://openalex.org/W4388221821","https://openalex.org/W650967530","https://openalex.org/W4390813505","https://openalex.org/W2164690004","https://openalex.org/W2047776971","https://openalex.org/W1486225309","https://openalex.org/W2094698213","https://openalex.org/W2359125580"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,9,56],"traffic":[4,31,63,85,113,127],"signal":[5],"scheduling":[6,115],"strategy":[7,116],"for":[8,45],"pedestrian-vehicle":[10],"mixed-flow":[11],"network":[12,64],"with":[13,74],"consideration":[14],"of":[15,110,121],"the":[16,23,29,35,46,61,66,75,79,108,118,132],"pedestrian":[17,25,36,67],"two-way":[18],"crossing":[19,37],"phase":[20,26,48,52,99,123],"(TWC)":[21],"and":[22,50,65,88,90,117],"exclusive":[24],"(EPP)":[27],"in":[28,131],"urban":[30],"system.":[32,133],"According":[33],"to":[34,77,91,106],"characteristics,":[38],"two":[39,83,122],"volume":[40],"dynamics":[41],"are":[42,104,129],"firstly":[43],"proposed":[44],"TWC":[47,98],"setting":[49],"EPP":[51,96],"setting,":[53],"respectively.":[54],"Secondly,":[55],"mathematical":[57],"model":[58],"combining":[59],"both":[60],"vehicle":[62],"flows":[68],"at":[69],"each":[70],"intersection":[71],"is":[72],"developed,":[73],"aim":[76],"minimize":[78],"delay":[80],"cost":[81],"from":[82],"different":[84,126],"participants":[86],"(pedestrians":[87],"vehicles)":[89],"provide":[92],"suggestions":[93],"on":[94],"selecting":[95],"or":[97],"pattern.":[100],"Numerical":[101],"simulation":[102],"results":[103],"provided":[105],"illustrate":[107],"effectiveness":[109],"our":[111],"real-time":[112],"light":[114],"potential":[119],"impact":[120],"patterns":[124],"when":[125],"volumes":[128],"involved":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}