{"id":"https://openalex.org/W4407392259","doi":"https://doi.org/10.3390/ijgi14020071","title":"An Efficient Route Planning Algorithm for Special Vehicles with Large-Scale Road Network Data","display_name":"An Efficient Route Planning Algorithm for Special Vehicles with Large-Scale Road Network Data","publication_year":2025,"publication_date":"2025-02-10","ids":{"openalex":"https://openalex.org/W4407392259","doi":"https://doi.org/10.3390/ijgi14020071"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi14020071","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi14020071","pdf_url":null,"source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/ijgi14020071","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025292310","display_name":"Ting Tian","orcid":"https://orcid.org/0000-0001-5043-0015"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Tian","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou 450001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113400789","display_name":"Huijing Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijing Wu","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou 450001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101689400","display_name":"Haitao Wei","orcid":"https://orcid.org/0000-0003-0019-6210"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Wei","raw_affiliation_strings":["School of Geo-Technology, Zhengzhou University, Zhengzhou 450001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geo-Technology, Zhengzhou University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101918654","display_name":"Fang Wu","orcid":"https://orcid.org/0000-0001-8040-933X"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fang Wu","raw_affiliation_strings":["School of Geo-Technology, Zhengzhou University, Zhengzhou 450001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geo-Technology, Zhengzhou University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081346568","display_name":"Mingliang Xu","orcid":"https://orcid.org/0000-0002-6885-3451"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingliang Xu","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou 450001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou 450001, China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101918654"],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":8.7619,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.9781092,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"14","issue":"2","first_page":"71","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9988999962806702,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12203","display_name":"Mobile Agent-Based Network Management","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/route-planning","display_name":"Route planning","score":0.6852685809135437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6438536643981934},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5620170831680298},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.5072869658470154},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32103705406188965},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20538026094436646},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1855587661266327},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1106007993221283}],"concepts":[{"id":"https://openalex.org/C2989549987","wikidata":"https://www.wikidata.org/wiki/Q350882","display_name":"Route planning","level":2,"score":0.6852685809135437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6438536643981934},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5620170831680298},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5072869658470154},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32103705406188965},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20538026094436646},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1855587661266327},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1106007993221283}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/ijgi14020071","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi14020071","pdf_url":null,"source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:13fcd1312257413fbff37960b6d8ccdc","is_oa":true,"landing_page_url":"https://doaj.org/article/13fcd1312257413fbff37960b6d8ccdc","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 14, Iss 2, p 71 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/ijgi14020071","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi14020071","pdf_url":null,"source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W2031896749","https://openalex.org/W2111563176","https://openalex.org/W2533614417","https://openalex.org/W2724533340","https://openalex.org/W2888562290","https://openalex.org/W2954469285","https://openalex.org/W3000284535","https://openalex.org/W3088714202","https://openalex.org/W3088760996","https://openalex.org/W3107861967","https://openalex.org/W3111657783","https://openalex.org/W3112064565","https://openalex.org/W3137312010","https://openalex.org/W3151721856","https://openalex.org/W4210486317","https://openalex.org/W4220705357","https://openalex.org/W4304606267","https://openalex.org/W4312716673","https://openalex.org/W4316661094","https://openalex.org/W4317399202","https://openalex.org/W4321483377","https://openalex.org/W4366998546","https://openalex.org/W4372317385","https://openalex.org/W4383621574","https://openalex.org/W4385626770","https://openalex.org/W4387020280","https://openalex.org/W4387456599","https://openalex.org/W4387498354","https://openalex.org/W4389279434","https://openalex.org/W4389625512","https://openalex.org/W4390103319","https://openalex.org/W4390926442","https://openalex.org/W4391025379","https://openalex.org/W4391450094","https://openalex.org/W4391613138","https://openalex.org/W4391822544","https://openalex.org/W4392102504","https://openalex.org/W4393308628","https://openalex.org/W4394741863","https://openalex.org/W4394945894","https://openalex.org/W4399247191","https://openalex.org/W4400353755","https://openalex.org/W4400963023","https://openalex.org/W4402223937","https://openalex.org/W4403391438","https://openalex.org/W6852071284","https://openalex.org/W6861169723","https://openalex.org/W6873072795"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"During":[0],"natural":[1],"disasters":[2],"such":[3,161],"as":[4,67,162],"earthquakes,":[5],"fires,":[6],"or":[7],"landslides,":[8],"the":[9,44,144,171,198],"timely":[10],"passage":[11,173],"of":[12,30,47,148,174,244],"special":[13,48,175],"vehicles":[14,49],"(primarily":[15],"oversized":[16],"vehicles)":[17],"is":[18,98,120],"crucial":[19],"for":[20,193,206,266],"successful":[21],"emergency":[22,59,268],"rescue":[23,60,269],"operations.":[24,61],"Efficient":[25],"route":[26,124,154,187,209,239,257],"planning":[27,117,125,240,258],"algorithms":[28],"capable":[29],"handling":[31],"large-scale":[32,54],"road":[33,56,65,73,107,135,150,217,254],"networks":[34,57],"are":[35],"essential":[36],"to":[37,50,79,87,101,122,169,184,229,249],"facilitate":[38],"this.":[39],"This":[40,127,189],"paper":[41],"focuses":[42],"on":[43],"rapid":[45],"dispatch":[46],"their":[51],"destinations":[52],"within":[53],"national":[55,64],"during":[58,153],"Using":[62],"China\u2019s":[63],"network":[66,74,108,136,151,218,255],"a":[68,71,115,242],"case":[69],"study,":[70],"dual-layer":[72],"data":[75,89,130,137,152],"model":[76,219],"was":[77,182],"proposed":[78,121,183,253],"separate":[80],"high-grade":[81,134],"expressways":[82],"from":[83,196],"low-grade":[84,149],"ordinary":[85],"roadways":[86],"optimize":[88],"storage":[90],"and":[91,105,141,165,200,220,260,271],"access.":[92],"A":[93,177],"two-level":[94],"spatial":[95],"grid":[96,146],"framework":[97],"also":[99],"introduced":[100],"efficiently":[102],"segment,":[103],"extract,":[104],"store":[106],"data.":[109],"An":[110],"improved":[111,216],"algorithm":[112,128,181,221,236],"constrained":[113],"by":[114,132,225,241],"shortest-route":[116],"objective":[118,157],"function":[119,158],"improve":[123],"efficiency.":[126],"optimizes":[129],"access":[131],"loading":[133,143],"into":[138],"memory":[139],"once":[140],"only":[142],"necessary":[145],"segments":[147],"planning.":[155,188,210],"The":[156,232,252],"incorporates":[159],"constraints":[160],"bridge":[163],"weight":[164],"tunnel":[166],"height":[167],"limitations":[168],"ensure":[170],"safe":[172],"vehicles.":[176],"parallelized":[178,233],"bidirectional":[179,234],"Dijkstra":[180,235],"further":[185,237],"accelerate":[186],"approach":[190],"simultaneously":[191],"searches":[192],"optimal":[194],"routes":[195],"both":[197],"starting":[199],"ending":[201],"points,":[202],"significantly":[203],"improving":[204],"efficiency":[205],"large-scale,":[207],"cross-regional":[208],"Experimental":[211],"results":[212],"demonstrate":[213],"that":[214],"our":[215],"reduce":[222],"search":[223],"time":[224],"1.69":[226],"times":[227],"compared":[228],"conventional":[230],"methods.":[231],"accelerates":[238],"factor":[243],"3.75,":[245],"achieving":[246],"comparable":[247],"performance":[248],"commercial":[250],"software.":[251],"model,":[256],"algorithm,":[259],"related":[261],"findings":[262],"offer":[263],"valuable":[264],"insights":[265],"optimizing":[267],"operations":[270],"ensuring":[272],"cost-effective":[273],"resource":[274],"allocation.":[275]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5}],"updated_date":"2026-06-04T09:04:59.091469","created_date":"2025-10-10T00:00:00"}
