{"id":"https://openalex.org/W4409814864","doi":"https://doi.org/10.1016/j.procs.2025.03.010","title":"Customized Contraction Hierarchies with Flow-based Natural Cut Heuristic","display_name":"Customized Contraction Hierarchies with Flow-based Natural Cut Heuristic","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409814864","doi":"https://doi.org/10.1016/j.procs.2025.03.010"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2025.03.010","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.03.010","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2025.03.010","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089809551","display_name":"Tatiana Babicheva","orcid":"https://orcid.org/0000-0002-6439-6409"},"institutions":[{"id":"https://openalex.org/I4210157947","display_name":"Groupe Hospitalier Intercommunal Le Raincy Montfermeil","ror":"https://ror.org/048g78j50","country_code":"FR","type":"healthcare","lineage":["https://openalex.org/I4210157947"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Tatiana Babicheva","raw_affiliation_strings":["RATP Smart Systems, 8 Av. Montaigne, 93160 Noisy-le-Grand, France"],"affiliations":[{"raw_affiliation_string":"RATP Smart Systems, 8 Av. Montaigne, 93160 Noisy-le-Grand, France","institution_ids":["https://openalex.org/I4210157947"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092626670","display_name":"Dmitry Gushchin","orcid":null},"institutions":[{"id":"https://openalex.org/I58957048","display_name":"Yandex (Russia)","ror":"https://ror.org/04dbch786","country_code":"RU","type":"company","lineage":["https://openalex.org/I58957048"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitry Gushchin","raw_affiliation_strings":["Yandex LLC, Ulitsa Lva Tolstogo 16, Moscow, Russia 119021"],"affiliations":[{"raw_affiliation_string":"Yandex LLC, Ulitsa Lva Tolstogo 16, Moscow, Russia 119021","institution_ids":["https://openalex.org/I58957048"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117317739","display_name":"Grigoriy Simakov","orcid":null},"institutions":[{"id":"https://openalex.org/I118501908","display_name":"National Research University Higher School of Economics","ror":"https://ror.org/055f7t516","country_code":"RU","type":"education","lineage":["https://openalex.org/I118501908"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Grigoriy Simakov","raw_affiliation_strings":["HSE, Myasnitskaya Ulitsa, 20, Moscow, Russia, 101000"],"affiliations":[{"raw_affiliation_string":"HSE, Myasnitskaya Ulitsa, 20, Moscow, Russia, 101000","institution_ids":["https://openalex.org/I118501908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038799928","display_name":"Yury Bychkov","orcid":null},"institutions":[{"id":"https://openalex.org/I2799725622","display_name":"Alameda Hospital","ror":"https://ror.org/058sgvn64","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799725622","https://openalex.org/I2800769186"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yury Bychkov","raw_affiliation_strings":["Aragon high school, 900 Alameda de las Pulgas, San Mateo, California, 94402, United States"],"affiliations":[{"raw_affiliation_string":"Aragon high school, 900 Alameda de las Pulgas, San Mateo, California, 94402, United States","institution_ids":["https://openalex.org/I2799725622"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113389003","display_name":"Edvard Olsen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163938","display_name":"Sevenoaks Hospital","ror":"https://ror.org/055vv6n72","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I4210119581","https://openalex.org/I4210163938"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Edvard Olsen","raw_affiliation_strings":["Sevenoaks School, High St, Sevenoaks TN13 1HU, Great Britain"],"affiliations":[{"raw_affiliation_string":"Sevenoaks School, High St, Sevenoaks TN13 1HU, Great Britain","institution_ids":["https://openalex.org/I4210163938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5117317740","display_name":"Egor Lazarevich","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114918","display_name":"Boston University Academy","ror":"https://ror.org/02866re76","country_code":"US","type":"education","lineage":["https://openalex.org/I4210114918"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Egor Lazarevich","raw_affiliation_strings":["Boston University Academy, 1 University Rd, Boston, MA 02215, United States"],"affiliations":[{"raw_affiliation_string":"Boston University Academy, 1 University Rd, Boston, MA 02215, United States","institution_ids":["https://openalex.org/I4210114918"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5089809551"],"corresponding_institution_ids":["https://openalex.org/I4210157947"],"apc_list":null,"apc_paid":null,"fwci":3.3504,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91806847,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"257","issue":null,"first_page":"53","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12176","display_name":"Optimization and Packing Problems","score":0.9832000136375427,"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/T12176","display_name":"Optimization and Packing Problems","score":0.9832000136375427,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.973800003528595,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11182","display_name":"Auction Theory and Applications","score":0.972000002861023,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8788349628448486},{"id":"https://openalex.org/keywords/contraction","display_name":"Contraction (grammar)","score":0.7248536944389343},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5016722679138184},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4616618752479553},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36990436911582947},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35033631324768066},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33057987689971924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28170520067214966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09730398654937744},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06834819912910461}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8788349628448486},{"id":"https://openalex.org/C163415756","wikidata":"https://www.wikidata.org/wiki/Q126473","display_name":"Contraction (grammar)","level":2,"score":0.7248536944389343},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5016722679138184},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4616618752479553},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36990436911582947},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35033631324768066},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33057987689971924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28170520067214966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09730398654937744},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06834819912910461},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2025.03.010","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.03.010","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2025.03.010","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.03.010","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1904636577","https://openalex.org/W1996014455","https://openalex.org/W2153374077","https://openalex.org/W2171707538","https://openalex.org/W2256374442","https://openalex.org/W2955410971","https://openalex.org/W2963577143","https://openalex.org/W2963809597","https://openalex.org/W3114358295","https://openalex.org/W6687446400"],"related_works":["https://openalex.org/W3025685350","https://openalex.org/W2370815826","https://openalex.org/W1524573362","https://openalex.org/W2433057514","https://openalex.org/W2373436826","https://openalex.org/W2167961874","https://openalex.org/W1972689493","https://openalex.org/W4302065327","https://openalex.org/W2356401532","https://openalex.org/W1968841476"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"we":[3,113],"address":[4],"the":[5,9,78,109,127,148,154,176,188],"challenge":[6],"of":[7,11,102,156,178],"enhancing":[8],"efficiency":[10],"Customizable":[12],"Contraction":[13],"Hierarchies":[14],"(CCH)":[15],"for":[16,163,190],"large-scale":[17],"network":[18],"applications.":[19],"CCH,":[20],"a":[21],"prominent":[22],"shortest":[23,183],"path":[24,34,184],"algorithm,":[25],"leverages":[26],"preprocessing":[27,56],"and":[28,45,73,92,108,122,142,171,186,195],"customization":[29,128],"phases":[30],"to":[31,63,77,86,140,160],"enable":[32],"rapid":[33],"queries.":[35],"However,":[36],"its":[37],"performance":[38],"heavily":[39],"depends":[40],"on":[41,100],"effective":[42],"graph":[43,197],"partitioning":[44,198],"node":[46],"ordering":[47],"strategies.":[48],"We":[49],"propose":[50],"integrating":[51],"real-world":[52,165],"data":[53,181],"into":[54,182,193],"CCH":[55,162],"by":[57,138,145],"introducing":[58],"advanced":[59],"capacity":[60,83,133,158],"functions":[61,134,159],"tailored":[62,157],"reflect":[64],"network-specific":[65],"characteristics,":[66],"such":[67,167],"as":[68,168],"speed,":[69],"edge":[70],"betweenness,":[71],"centrality,":[72],"distance.":[74],"Our":[75],"modifications":[76],"InertialFlow":[79],"algorithm":[80],"incorporate":[81],"these":[82],"functions,":[84],"aiming":[85],"identify":[87],"natural":[88],"cuts":[89],"more":[90],"effectively":[91],"reduce":[93],"computational":[94,98],"overhead.":[95],"Through":[96],"extensive":[97],"experiments":[99],"networks":[101],"varying":[103],"scales,":[104],"including":[105],"\u00cele-de-France,":[106],"Martinique,":[107],"full":[110],"France":[111],"network,":[112],"demonstrate":[114],"significant":[115],"improvements":[116],"in":[117,147],"memory":[118],"consumption,":[119],"query":[120,143],"times,":[121],"overall":[123],"triangle":[124,136],"counts":[125,137],"during":[126],"phase.":[129],"For":[130],"instance,":[131],"speed-dependent":[132],"reduced":[135],"up":[139],"13.5%":[141],"times":[144],"11%":[146],"\u00cele-de-France":[149],"network.":[150],"These":[151],"findings":[152],"highlight":[153],"potential":[155],"optimize":[161],"dynamic,":[164],"applications":[166],"traffic":[169],"management":[170],"logistics.":[172],"This":[173],"study":[174],"emphasizes":[175],"importance":[177],"incorporating":[179],"domain-specific":[180],"algorithms":[185],"paves":[187],"way":[189],"further":[191],"research":[192],"scalable":[194],"adaptive":[196],"techniques.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}
