{"id":"https://openalex.org/W3208574210","doi":"https://doi.org/10.1109/itsc48978.2021.9564596","title":"Optimization of Train Schedule with Simultaneous Station Track Allocation on a Bi-directional Single-track Suburban Railway","display_name":"Optimization of Train Schedule with Simultaneous Station Track Allocation on a Bi-directional Single-track Suburban Railway","publication_year":2021,"publication_date":"2021-09-19","ids":{"openalex":"https://openalex.org/W3208574210","doi":"https://doi.org/10.1109/itsc48978.2021.9564596","mag":"3208574210"},"language":"en","primary_location":{"id":"doi:10.1109/itsc48978.2021.9564596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc48978.2021.9564596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Intelligent Transportation Systems Conference (ITSC)","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/A5100626263","display_name":"Lin Yang","orcid":"https://orcid.org/0000-0002-2006-8876"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Yang","raw_affiliation_strings":["School of Traffic and Transportation, Beijing Jiaotong University, Beijing, CO, China"],"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, Beijing, CO, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014488622","display_name":"Yannan Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107208","display_name":"China Railway Fifth Survey and Design Institute Group","ror":"https://ror.org/01rb6gh35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210107208"]},{"id":"https://openalex.org/I4391768287","display_name":"China Railway First Survey and Design Institute Group Co. Ltd.","ror":"https://ror.org/03qfm6382","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391768287"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yannan Ji","raw_affiliation_strings":["China Railway First Survey And Design Institute Group Co., Ltd, CO, China"],"affiliations":[{"raw_affiliation_string":"China Railway First Survey And Design Institute Group Co., Ltd, CO, China","institution_ids":["https://openalex.org/I4210107208","https://openalex.org/I4391768287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100650334","display_name":"Dewei Li","orcid":"https://orcid.org/0000-0003-3738-029X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dewei Li","raw_affiliation_strings":["School of Traffic and Transportation, Beijing Jiaotong University, Beijing, CO, China"],"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, Beijing, CO, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100626263"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.1504,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57162274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2380","last_page":"2386"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9994000196456909,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9990000128746033,"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":0.9868000149726868,"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/train","display_name":"Train","score":0.8068598508834839},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.7756866216659546},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.759361743927002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6618822813034058},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.6139126420021057},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5968841314315796},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5566674470901489},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.45569342374801636},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4340217709541321},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.33185479044914246},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18781793117523193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10086226463317871}],"concepts":[{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.8068598508834839},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.7756866216659546},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.759361743927002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6618822813034058},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.6139126420021057},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5968841314315796},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5566674470901489},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.45569342374801636},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4340217709541321},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.33185479044914246},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18781793117523193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10086226463317871},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc48978.2021.9564596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc48978.2021.9564596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Intelligent Transportation Systems Conference (ITSC)","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":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1730509907","https://openalex.org/W1966866456","https://openalex.org/W1977588991","https://openalex.org/W1998747910","https://openalex.org/W2027034071","https://openalex.org/W2029372500","https://openalex.org/W2048953490","https://openalex.org/W2068341557","https://openalex.org/W2074530809","https://openalex.org/W2094207321","https://openalex.org/W2113131539","https://openalex.org/W2120510300","https://openalex.org/W2182722721","https://openalex.org/W2199511439","https://openalex.org/W2216822185","https://openalex.org/W2585597625","https://openalex.org/W2590165084","https://openalex.org/W2596498860","https://openalex.org/W2675696894","https://openalex.org/W2759938130","https://openalex.org/W2770659723","https://openalex.org/W2791877608","https://openalex.org/W2801399956","https://openalex.org/W2898623474","https://openalex.org/W2948644610","https://openalex.org/W2956185247","https://openalex.org/W3037410156","https://openalex.org/W3123184465","https://openalex.org/W3125967734","https://openalex.org/W4301379894"],"related_works":["https://openalex.org/W618248309","https://openalex.org/W2377336366","https://openalex.org/W649146757","https://openalex.org/W2392716122","https://openalex.org/W4285278887","https://openalex.org/W2365237642","https://openalex.org/W2995925505","https://openalex.org/W2773399470","https://openalex.org/W3116484972","https://openalex.org/W2941986668"],"abstract_inverted_index":{"Focusing":[0],"on":[1,84],"a":[2,33,85,109],"suburban":[3],"railway":[4],"to":[5,13],"be":[6,114],"planned,":[7],"an":[8,23,104,117],"integrated":[9,24],"optimization":[10,78],"model":[11,28,100],"related":[12],"the":[14,38,49,53,56,62,74,77,94,99],"level":[15],"of":[16,35,41,98],"operating":[17,82],"and":[18,58,60,67,96],"planning":[19],"is":[20,29],"proposed.":[21],"Specifically,":[22],"mixed-integer":[25],"linear":[26],"programming":[27],"formulated":[30],"by":[31],"introducing":[32],"set":[34],"variables":[36],"presenting":[37],"occupied":[39],"sequence":[40],"all":[42],"trains":[43,54],"in":[44,55,116],"one":[45],"segment,":[46],"which":[47],"solves":[48],"potential":[50],"conflict":[51],"between":[52],"segments":[57],"stations,":[59],"involves":[61],"rolling":[63],"stock":[64],"circulation":[65],"problem":[66],"station":[68],"track":[69],"allocation":[70],"problem.":[71],"By":[72],"using":[73],"GUROBI":[75],"solver,":[76],"results":[79,91],"for":[80],"two":[81],"modes":[83],"line":[86],"are":[87,101],"produced.":[88],"The":[89],"experimental":[90],"show":[92],"that":[93],"effectiveness":[95],"efficiency":[97],"verified":[102],"since":[103],"approximate":[105],"optimal":[106],"solution":[107],"at":[108],"given":[110],"gap":[111],"can":[112],"always":[113],"produced":[115],"acceptable":[118],"time.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
