{"id":"https://openalex.org/W4366667182","doi":"https://doi.org/10.1109/tkde.2023.3269084","title":"Empowering A* Algorithm With Neuralized Variational Heuristics for Fastest Route Recommendation","display_name":"Empowering A* Algorithm With Neuralized Variational Heuristics for Fastest Route Recommendation","publication_year":2023,"publication_date":"2023-04-21","ids":{"openalex":"https://openalex.org/W4366667182","doi":"https://doi.org/10.1109/tkde.2023.3269084"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2023.3269084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3269084","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Empowering_A_Algorithm_With_Neuralized_Variational_Heuristics_for_Fastest_Route_Recommendation/22783283","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046471908","display_name":"Minrui Xu","orcid":"https://orcid.org/0000-0002-4891-3701"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minrui Xu","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-4891-3701","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086062267","display_name":"Jiajie Xu","orcid":"https://orcid.org/0000-0001-8227-8636"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajie Xu","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0001-8227-8636","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032749574","display_name":"Rui Zhou","orcid":"https://orcid.org/0000-0001-6807-4362"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Rui Zhou","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Swinburne University of Technology, Hawthorn, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0001-6807-4362","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Swinburne University of Technology, Hawthorn, VIC, Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380474","display_name":"Jianxin Li","orcid":"https://orcid.org/0000-0002-9059-330X"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jianxin Li","raw_affiliation_strings":["School of Information Technology, Deakin University, Geelong, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9059-330X","affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603979","display_name":"Kai Zheng","orcid":"https://orcid.org/0000-0002-0217-3998"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zheng","raw_affiliation_strings":["Shenzhen Institute for Advanced Study and the School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-0217-3998","affiliations":[{"raw_affiliation_string":"Shenzhen Institute for Advanced Study and the School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016091616","display_name":"Pengpeng Zhao","orcid":"https://orcid.org/0000-0001-6721-6576"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengpeng Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0001-6721-6576","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028546502","display_name":"Chengfei Liu","orcid":"https://orcid.org/0000-0003-1675-1389"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chengfei Liu","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Swinburne University of Technology, Hawthorn, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1675-1389","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Swinburne University of Technology, Hawthorn, VIC, Australia","institution_ids":["https://openalex.org/I57093077"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2041,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75923793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"35","issue":"10","first_page":"10011","last_page":"10023"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994999766349792,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9979000091552734,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7736135721206665},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.630628228187561},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5892834067344666},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5841233730316162},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5730931162834167},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5706355571746826},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3546917140483856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29033833742141724},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16356989741325378}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7736135721206665},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.630628228187561},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5892834067344666},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5841233730316162},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5730931162834167},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5706355571746826},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3546917140483856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29033833742141724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16356989741325378},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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":2,"locations":[{"id":"doi:10.1109/tkde.2023.3269084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3269084","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:figshare.com:article/22783283","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Empowering_A_Algorithm_With_Neuralized_Variational_Heuristics_for_Fastest_Route_Recommendation/22783283","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/22783283","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Empowering_A_Algorithm_With_Neuralized_Variational_Heuristics_for_Fastest_Route_Recommendation/22783283","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2074007050","display_name":"\u9762\u5411\u5927\u89c4\u6a21\u79fb\u52a8\u4fe1\u4ee4\u8f68\u8ff9\u7684\u7cbe\u7ec6\u5316\u68c0\u7d22\u4e0e\u5173\u8054\u5206\u6790\u6280\u672f\u7814\u7a76","funder_award_id":"62072125","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3561341673","display_name":"\u9762\u5411\u9886\u57df\u5927\u6570\u636e\u7684\u4e8b\u4ef6\u77e5\u8bc6\u56fe\u8c31\u6784\u5efa\u7814\u7a76","funder_award_id":"61836007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4268729350","display_name":null,"funder_award_id":"618323017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6984667056","display_name":null,"funder_award_id":"62272334","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7342200561","display_name":"\u8f68\u8ff9\u5927\u6570\u636e\u9a71\u52a8\u7684\u4ea4\u901a\u8def\u51b5\u611f\u77e5\u4e0e\u9884\u6d4b\u6280\u672f\u7814\u7a76","funder_award_id":"61872258","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G964926443","display_name":"\u7a7a\u95f4\u4f17\u5305\u4e2d\u7684\u4efb\u52a1\u9884\u6d4b\u4e0e\u5206\u914d\u6280\u672f\u7814\u7a76","funder_award_id":"61972069","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1519514048","https://openalex.org/W1614298861","https://openalex.org/W1881724709","https://openalex.org/W1969483458","https://openalex.org/W2008559906","https://openalex.org/W2031674781","https://openalex.org/W2069929199","https://openalex.org/W2081942684","https://openalex.org/W2097268493","https://openalex.org/W2111160151","https://openalex.org/W2131774270","https://openalex.org/W2144475703","https://openalex.org/W2154851992","https://openalex.org/W2166901389","https://openalex.org/W2268120789","https://openalex.org/W2295418620","https://openalex.org/W2550072831","https://openalex.org/W2756203131","https://openalex.org/W2761908665","https://openalex.org/W2788997482","https://openalex.org/W2809128166","https://openalex.org/W2809623940","https://openalex.org/W2903871660","https://openalex.org/W2911826336","https://openalex.org/W2949704773","https://openalex.org/W2962756421","https://openalex.org/W2962834725","https://openalex.org/W2964098640","https://openalex.org/W2983448484","https://openalex.org/W2990261010","https://openalex.org/W2997848713","https://openalex.org/W3029687524","https://openalex.org/W3029978369","https://openalex.org/W3030299187","https://openalex.org/W3080344546","https://openalex.org/W3103720336","https://openalex.org/W3104097132","https://openalex.org/W3117932629","https://openalex.org/W3171958173","https://openalex.org/W3175147990","https://openalex.org/W4212816057","https://openalex.org/W6631190155","https://openalex.org/W6636510571","https://openalex.org/W6640963894","https://openalex.org/W6744998784","https://openalex.org/W6779732063","https://openalex.org/W6788288963","https://openalex.org/W6803873758"],"related_works":["https://openalex.org/W2280422768","https://openalex.org/W3177062893","https://openalex.org/W2801210103","https://openalex.org/W3125143773","https://openalex.org/W2007032764","https://openalex.org/W803550684","https://openalex.org/W2483226803","https://openalex.org/W4352977312","https://openalex.org/W1536056491","https://openalex.org/W2041180560"],"abstract_inverted_index":{"Fastest":[0],"route":[1,83],"recommendation":[2,84],"(FRR)":[3],"is":[4,65],"crucial":[5],"for":[6,97],"intelligent":[7],"transportation":[8],"systems.":[9],"The":[10,190],"existing":[11],"methods":[12],"treat":[13],"it":[14],"as":[15,31,71],"a":[16,78,103,113,120],"pathfinding":[17],"problem":[18],"on":[19,186],"dynamic":[20],"graphs,":[21],"and":[22,49,60,93,135],"extend":[23],"A*":[24,91],"algorithm":[25,69,92],"with":[26,141],"neuralized":[27],"travel":[28,110,130],"time":[29,111,131],"estimators":[30],"cost":[32,41,140],"functions.":[33],"However,":[34],"they":[35],"fail":[36],"to":[37,43,106,154,170,174],"provide":[38],"effective":[39,95,138],"heuristic":[40,139],"due":[42],"the":[44,50,88,109,127,156,161,168,176,193],"neglect":[45],"of":[46,52,90,112,129,144,151,163,178,196],"its":[47],"admissibility":[48,177],"utilization":[51],"noise":[53],"path":[54,63,158],"information,":[55],"resulting":[56],"in":[57,180],"sub-optimal":[58],"results":[59,191],"inefficiency.":[61],"Besides,":[62],"sequentiality":[64],"also":[66],"ignored,":[67],"affecting":[68],"accuracy":[70],"well.":[72],"In":[73],"this":[74],"paper,":[75],"we":[76,100,118,166],"propose":[77],"variational":[79,121,172],"inference":[80,122],"based":[81,123],"fastest":[82,157],"method,":[85],"which":[86,125],"follows":[87],"framework":[89],"provides":[94,136],"costs":[96],"routing.":[98],"Specifically,":[99],"first":[101,169],"adopt":[102],"sequential":[104],"estimator":[105,173],"accurately":[107],"estimate":[108],"specific":[114],"path.":[115],"More":[116],"importantly,":[117],"design":[119],"estimator,":[124],"models":[126],"distribution":[128],"between":[132],"two":[133,187],"nodes":[134],"an":[137],"high":[142],"probability":[143],"being":[145],"admissible.":[146],"We":[147],"further":[148],"take":[149],"advantage":[150,195],"adversarial":[152],"learning":[153],"enrich":[155],"information.":[159],"To":[160],"best":[162],"our":[164,197],"knowledge,":[165],"are":[167,184],"use":[171],"consider":[175],"heuristics":[179],"FRR.":[181],"Extensive":[182],"experiments":[183],"conducted":[185],"real-world":[188],"datasets.":[189],"verify":[192],"performance":[194],"proposed":[198],"method.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}