{"id":"https://openalex.org/W2896628661","doi":"https://doi.org/10.1109/tits.2018.2870990","title":"Urban Traffic Coulomb\u2019s Law: A New Approach for Taxi Route Recommendation","display_name":"Urban Traffic Coulomb\u2019s Law: A New Approach for Taxi Route Recommendation","publication_year":2018,"publication_date":"2018-10-18","ids":{"openalex":"https://openalex.org/W2896628661","doi":"https://doi.org/10.1109/tits.2018.2870990","mag":"2896628661"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2018.2870990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2018.2870990","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Intelligent Transportation Systems","raw_type":"journal-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/A5085904657","display_name":"Yongxuan Lai","orcid":"https://orcid.org/0000-0002-2883-0781"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongxuan Lai","raw_affiliation_strings":["Shenzhen Research Institute, Xiamen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, Xiamen University, Shenzhen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100784616","display_name":"Lv Zheng","orcid":"https://orcid.org/0000-0001-7589-6284"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Lv","raw_affiliation_strings":["Software School, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Software School, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063188437","display_name":"Kuan\u2010Ching Li","orcid":"https://orcid.org/0000-0003-1381-4364"},"institutions":[{"id":"https://openalex.org/I177918364","display_name":"Providence University","ror":"https://ror.org/03fcpsq87","country_code":"TW","type":"education","lineage":["https://openalex.org/I177918364"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan-Ching Li","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan","institution_ids":["https://openalex.org/I177918364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074344681","display_name":"Minghong Liao","orcid":"https://orcid.org/0000-0002-0197-7273"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghong Liao","raw_affiliation_strings":["Software School, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Software School, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085904657"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":2.8425,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.90816764,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"20","issue":"8","first_page":"3024","last_page":"3037"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9997000098228455,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9994000196456909,"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/taxis","display_name":"Taxis","score":0.9859223365783691},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.6395252346992493},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.597438395023346},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23337724804878235}],"concepts":[{"id":"https://openalex.org/C183373512","wikidata":"https://www.wikidata.org/wiki/Q949618","display_name":"Taxis","level":2,"score":0.9859223365783691},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.6395252346992493},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.597438395023346},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23337724804878235}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2018.2870990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2018.2870990","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G7156967911","display_name":null,"funder_award_id":"61872154","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8272810467","display_name":null,"funder_award_id":"201706315020","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G8681864030","display_name":null,"funder_award_id":"61672441","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"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W26726511","https://openalex.org/W1544411027","https://openalex.org/W1634255221","https://openalex.org/W1796251476","https://openalex.org/W1956951577","https://openalex.org/W1966517804","https://openalex.org/W1972189565","https://openalex.org/W1973405292","https://openalex.org/W1994912512","https://openalex.org/W2001303837","https://openalex.org/W2002809756","https://openalex.org/W2021714547","https://openalex.org/W2028274834","https://openalex.org/W2035311901","https://openalex.org/W2035671253","https://openalex.org/W2049279474","https://openalex.org/W2072000306","https://openalex.org/W2088061407","https://openalex.org/W2101728483","https://openalex.org/W2106251367","https://openalex.org/W2107634881","https://openalex.org/W2113298739","https://openalex.org/W2132968912","https://openalex.org/W2140251882","https://openalex.org/W2161581167","https://openalex.org/W2165155128","https://openalex.org/W2172041433","https://openalex.org/W2336558992","https://openalex.org/W2421338751","https://openalex.org/W2471769499","https://openalex.org/W2525255742","https://openalex.org/W2609163323","https://openalex.org/W4239785091","https://openalex.org/W6632530909","https://openalex.org/W6638215252","https://openalex.org/W6650926281","https://openalex.org/W6717679702","https://openalex.org/W6720792830","https://openalex.org/W6737097300"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2731640799","https://openalex.org/W3145095895","https://openalex.org/W2594548639","https://openalex.org/W2978498151","https://openalex.org/W2782837293","https://openalex.org/W2388377527","https://openalex.org/W565532978","https://openalex.org/W1946755446","https://openalex.org/W2216673692"],"abstract_inverted_index":{"Recently,":[0],"an":[1],"increased":[2],"amount":[3],"of":[4,13,19,22,29,61,95,141],"effort":[5],"has":[6],"been":[7],"focused":[8],"on":[9,52,114,156,227],"optimizing":[10,64],"the":[11,20,27,30,84,93,104,139,149,176,188,192,199,228,232,241,247,256],"selection":[12],"routes":[14,45,67],"for":[15,56,152],"taxis,":[16,47,154],"as":[17,48,127,138],"part":[18],"development":[21],"smart":[23],"urban":[24,88,96,111],"environments,":[25],"and":[26,41,68,73,108,123,129,143,180,196,198,206,219,243,253],"increase":[28,255],"accumulated":[31],"trajectory":[32],"data":[33],"sets.":[34],"One":[35],"challenging":[36],"issue":[37],"is":[38,100,120],"to":[39,46,102,161,165,215,239],"match":[40],"recommend":[42],"appropriate":[43],"cruising":[44,153],"most":[49],"taxis":[50,107,144,158,179,195,238],"cruise":[51,66],"streets":[53],"aimlessly":[54],"looking":[55],"passengers.":[57,169],"Drivers":[58],"encounter":[59],"lots":[60],"difficulty":[62],"in":[63,87,110,187,209],"their":[65,71,79],"hence":[69],"increasing":[70],"incomes,":[72],"such":[74,137],"inability":[75],"not":[76],"only":[77],"decreases":[78],"profit":[80],"but":[81],"also":[82,213],"increases":[83],"traffic":[85,97,150],"load":[86],"cities.":[89],"In":[90],"this":[91],"paper,":[92],"concept":[94],"Coulomb's":[98],"law":[99],"coined":[101],"model":[103],"relationship":[105,177],"between":[106,194],"passengers":[109,124,142,181],"cities,":[112],"based":[113,155],"which":[115,157],"a":[116],"route":[117,173,221],"recommendation":[118,174],"scheme":[119],"proposed.":[121],"Taxis":[122],"are":[125,159,182,212,225],"viewed":[126],"positive":[128],"negative":[130],"charges.":[131],"It":[132],"first":[133],"collects":[134],"useful":[135],"information":[136],"density":[140],"from":[145,171],"trajectories,":[146],"then":[147],"calculates":[148],"forces":[151],"routed":[160],"optimal":[162],"road":[163,210,229],"segments":[164],"pick":[166],"up":[167],"desired":[168],"Different":[170],"existing":[172,251],"methods,":[175],"among":[178,201],"fully":[183],"taken":[184],"into":[185],"account":[186],"proposed":[189,248],"algorithm,":[190],"e.g.,":[191],"attractiveness":[193],"passengers,":[197],"competition":[200],"taxis.":[202],"Moreover,":[203],"real-time":[204],"dynamics":[205],"geodesic":[207],"distances":[208],"networks":[211],"considered":[214],"make":[216],"more":[217,259],"accurate":[218],"effective":[220],"recommendations.":[222],"Extensive":[223],"experiments":[224],"conducted":[226],"network":[230],"using":[231],"trajectories":[233],"generated":[234],"by":[235],"approximately":[236],"5,000":[237],"verify":[240],"effectiveness,":[242],"evaluations":[244],"demonstrate":[245],"that":[246],"method":[249],"outperforms":[250],"methods":[252],"can":[254],"drivers'":[257],"income":[258],"than":[260],"8%.":[261]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":4}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}
