{"id":"https://openalex.org/W2981338780","doi":"https://doi.org/10.1109/icite.2019.8880156","title":"Research on Optimization of City Line Express Trains Based on Multi-objective Particle Swarm Optimization Algorithm","display_name":"Research on Optimization of City Line Express Trains Based on Multi-objective Particle Swarm Optimization Algorithm","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2981338780","doi":"https://doi.org/10.1109/icite.2019.8880156","mag":"2981338780"},"language":"en","primary_location":{"id":"doi:10.1109/icite.2019.8880156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icite.2019.8880156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th International Conference on Intelligent Transportation Engineering (ICITE)","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/A5028842099","display_name":"Hao Li","orcid":"https://orcid.org/0000-0003-4342-3225"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Hao","raw_affiliation_strings":["College of Urban Rail Transit, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Urban Rail Transit, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023545315","display_name":"Qin Luo","orcid":"https://orcid.org/0000-0001-7696-7566"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Luo","raw_affiliation_strings":["College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen, China","institution_ids":["https://openalex.org/I4210152380"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0879,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84046995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2010","issue":null,"first_page":"44","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9997000098228455,"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/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.8476964831352234},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.79599529504776},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5874217748641968},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5423241257667542},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5284081697463989},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.5053091645240784},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.44583818316459656},{"id":"https://openalex.org/keywords/urban-rail-transit","display_name":"Urban rail transit","score":0.4194396436214447},{"id":"https://openalex.org/keywords/travel-time","display_name":"Travel time","score":0.4115937352180481},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3391221761703491},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3366353213787079},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32111603021621704},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23875707387924194},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06564778089523315}],"concepts":[{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.8476964831352234},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.79599529504776},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5874217748641968},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5423241257667542},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5284081697463989},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.5053091645240784},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.44583818316459656},{"id":"https://openalex.org/C2780434240","wikidata":"https://www.wikidata.org/wiki/Q3491904","display_name":"Urban rail transit","level":2,"score":0.4194396436214447},{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.4115937352180481},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3391221761703491},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3366353213787079},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32111603021621704},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23875707387924194},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06564778089523315},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icite.2019.8880156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icite.2019.8880156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th International Conference on Intelligent Transportation Engineering (ICITE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1553819508","https://openalex.org/W1991051215","https://openalex.org/W2745865686"],"related_works":["https://openalex.org/W618248309","https://openalex.org/W2377336366","https://openalex.org/W1568097102","https://openalex.org/W2024992299","https://openalex.org/W2520775962","https://openalex.org/W4362495566","https://openalex.org/W3014342922","https://openalex.org/W4229442600","https://openalex.org/W4213342684","https://openalex.org/W2072999879"],"abstract_inverted_index":{"The":[0,23],"municipal":[1],"line":[2],"is":[3],"the":[4,7,10,13,34,43,66,80,83,86,88,96,104,108,112,116,119,123,127,130],"route":[5],"connecting":[6],"suburbs":[8],"of":[9,36,45,65,85,107,115,122,129],"city":[11,14],"and":[12,47,62,68,118,125,132],"center.":[15],"Many":[16],"passengers":[17,37,117],"need":[18],"to":[19,78],"travel":[20,60,105,113],"long":[21],"distances.":[22],"traditional":[24],"rail":[25],"transit":[26],"train":[27,91,110],"station":[28],"stop":[29],"form":[30],"can":[31],"not":[32],"meet":[33],"needs":[35],"well.":[38],"Therefore,":[39],"this":[40],"paper":[41],"adopts":[42],"method":[44],"fast":[46],"slow":[48],"car":[49],"operation.":[50],"A":[51],"multi-objective":[52,70],"optimization":[53,74],"model":[54,131],"was":[55,76,93],"established":[56],"based":[57],"on":[58],"passenger":[59,109],"time":[61,114],"operating":[63,120],"cost":[64,121],"enterprise,":[67,124],"a":[69],"optimized":[71],"particle":[72],"swarm":[73],"algorithm":[75],"designed":[77,94],"solve":[79],"problem.":[81],"In":[82],"study":[84],"example,":[87],"corresponding":[89],"express":[90],"plan":[92],"for":[95],"Shenzhen":[97],"Metro":[98],"Line":[99],"14,":[100],"which":[101],"proved":[102],"that":[103],"speed":[106],"reduced":[111],"verified":[126],"reliability":[128],"algorithm.":[133]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}