乐胖代购免代理版

{"id":"https://openalex.org/W1963639177","doi":"https://doi.org/10.1109/itsc.2014.6958133","title":"A new two-stages PSO algorithm for railway trajectory planning on GIS system","display_name":"A new two-stages PSO algorithm for railway trajectory planning on GIS system","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1963639177","doi":"https://doi.org/10.1109/itsc.2014.6958133","mag":"1963639177"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2014.6958133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5101695509","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0002-1591-0061"},"institutions":[{"id":"https://openalex.org/I4210141966","display_name":"China Academy of Railway Sciences","ror":"https://ror.org/051wv2j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210141966"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Liu","raw_affiliation_strings":["Institute of Computing Technologies, Chinese Academy of Railway Sciences, Haidian District, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technologies, Chinese Academy of Railway Sciences, Haidian District, Beijing, China","institution_ids":["https://openalex.org/I4210141966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019391220","display_name":"Tianyun Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141966","display_name":"China Academy of Railway Sciences","ror":"https://ror.org/051wv2j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210141966"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Tianyun Shi","raw_affiliation_strings":["Institute of Computing Technologies, Chinese Academy of Railway Sciences, Haidian District, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technologies, Chinese Academy of Railway Sciences, Haidian District, Beijing, China","institution_ids":["https://openalex.org/I4210141966"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.505,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":3,"citation_normalized_percentile":{"value":0.573764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":76,"max":79},"biblio":{"volume":"8","issue":null,"first_page":"2768","last_page":"2773"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9808,"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"}},"topics":[{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9808,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9736,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.45088091}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.8624017},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7555803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6082687},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.59922063},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.46081537},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.45088091},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.44734192},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4162842},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40562233},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1945051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17919648},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"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":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2014.6958133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.71}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":23,"referenced_works":["https://openalex.org/W1499697928","https://openalex.org/W1875348914","https://openalex.org/W1980833745","https://openalex.org/W1987591401","https://openalex.org/W2027238383","https://openalex.org/W2051680981","https://openalex.org/W2059115408","https://openalex.org/W2077174186","https://openalex.org/W2081749411","https://openalex.org/W2090727353","https://openalex.org/W2109364787","https://openalex.org/W2128669740","https://openalex.org/W2141249818","https://openalex.org/W2143416511","https://openalex.org/W2144341408","https://openalex.org/W2150778332","https://openalex.org/W2152195021","https://openalex.org/W2165171393","https://openalex.org/W2165299997","https://openalex.org/W2168747298","https://openalex.org/W2169245194","https://openalex.org/W2169291847","https://openalex.org/W3156118547"],"related_works":["https://openalex.org/W4360995134","https://openalex.org/W4323768008","https://openalex.org/W4248382324","https://openalex.org/W3131574667","https://openalex.org/W3023605104","https://openalex.org/W2987583674","https://openalex.org/W2387529410","https://openalex.org/W2383578611","https://openalex.org/W2039473718","https://openalex.org/W1941703695"],"abstract_inverted_index":{"Smart":[0],"railway":[1,18,31,83],"trajectory":[2,32,99],"planning":[3,33],"is":[4],"one":[5,96],"of":[6,16,30],"the":[7,14,39,42,45,49,54,67,74,80,89,105],"most":[8],"interesting":[9],"and":[10,22,28,48,71,115],"important":[11],"topics":[12],"in":[13,69,76,104],"fields":[15],"intelligent":[17],"transportation,":[19],"computer":[20],"science":[21],"evolutionary":[23],"computation,":[24],"etc.":[25,51],"Several":[26],"objectives":[27],"constraints":[29],"problem":[34],"are":[35],"closely":[36],"related":[37],"to":[38,78],"distance":[40],"factor,":[41],"construction":[43],"cost,":[44],"altitude":[46],"factor":[47],"comfortability,":[50],"More":[52],"importantly,":[53],"new":[55,90],"particle":[56],"swarm":[57],"optimization":[58,63],"(PSO)":[59],"algorithm,":[60],"including":[61],"two":[62,102],"substages,":[64],"firstly":[65],"optimize":[66,73],"coordinate":[68],"y-axis":[70],"secondly":[72],"latitude":[75],"z-axis":[77],"design":[79],"optimal":[81,98],"3-D":[82],"trajectory.":[84],"Numerical":[85],"results":[86],"highlight":[87],"that":[88],"two-stages":[91],"PSO":[92],"algorithm":[93],"can":[94],"provide":[95],"realistic":[97],"from":[100],"any":[101],"cities":[103],"complicated":[106],"three-dimensional":[107],"GIS":[108],"scenario,":[109],"such":[110],"as":[111],"Chang":[112,117],"Sha":[113],"city":[114],"Nan":[116],"city.":[118]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1963639177","counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-01-20T00:35:24.635733","created_date":"2016-06-24"}