{"id":"https://openalex.org/W3132881848","doi":"https://doi.org/10.1109/mass50613.2020.00023","title":"A Data-Driven Reinforcement Learning Based Multi-Objective Route Recommendation System","display_name":"A Data-Driven Reinforcement Learning Based Multi-Objective Route Recommendation System","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3132881848","doi":"https://doi.org/10.1109/mass50613.2020.00023","mag":"3132881848"},"language":"en","primary_location":{"id":"doi:10.1109/mass50613.2020.00023","doi":"https://doi.org/10.1109/mass50613.2020.00023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mass50613.2020.00023","pdf_url":null,"source":{"id":"https://openalex.org/S7407086848","display_name":"IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5022681108","display_name":"Ankur Sarker","orcid":"https://orcid.org/0000-0003-4232-3345","observed_orcids":["https://orcid.org/0000-0003-4232-3345"]},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ankur Sarker","raw_affiliation_strings":["Department of Computer Science, University of Virginia, Charlottesville, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064217355","display_name":"Haiying Shen","orcid":"https://orcid.org/0000-0002-7681-6255","observed_orcids":["https://orcid.org/0000-0002-7681-6255","https://orcid.org/0000-0002-7548-6223"]},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haiying Shen","raw_affiliation_strings":["Department of Computer Science, University of Virginia, Charlottesville, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001354047","display_name":"Kamran Kowsari","orcid":"https://orcid.org/0000-0002-6451-4786","observed_orcids":["https://orcid.org/0000-0002-6451-4786"]},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kamran Kowsari","raw_affiliation_strings":["Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I51556381"],"apc_list":null,"apc_paid":null,"fwci":3.2553,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.93974733,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"103","last_page":"111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.8496000170707703,"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"}},"topics":[{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.8496000170707703,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.05609999969601631,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.023900000378489494,"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/multi-objective-optimization","display_name":"multi-objective optimization","score":0.9120000004768372},{"id":"https://openalex.org/keywords/q-learning","display_name":"Q-learning","score":0.9490000009536743},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"reinforcement learning","score":0.9039999842643738},{"id":"https://openalex.org/keywords/fuel-consumption","display_name":"fuel consumption","score":0.8889999985694885},{"id":"https://openalex.org/keywords/travel-time","display_name":"travel time","score":0.9729999899864197},{"id":"https://openalex.org/keywords/air-quality","display_name":"air quality","score":0.996999979019165},{"id":"https://openalex.org/keywords/road-network-graph","display_name":"road network graph","score":0.9169999957084656},{"id":"https://openalex.org/keywords/openstreetmap","display_name":"OpenStreetMap","score":0.984000027179718},{"id":"https://openalex.org/keywords/traffic-forecasting","display_name":"traffic prediction","score":0.6769999861717224},{"id":"https://openalex.org/keywords/user-preferences","display_name":"user preferences","score":0.5899999737739563},{"id":"https://openalex.org/keywords/real-time-route-planning","display_name":"real-time route planning","score":0.5619999766349792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8076322674751282},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7884194850921631},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.76009202003479},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5585548877716064},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4257246255874634},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.41119861602783203},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3666566014289856},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10585668683052063},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mass50613.2020.00023","doi":"https://doi.org/10.1109/mass50613.2020.00023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mass50613.2020.00023","pdf_url":null,"source":{"id":"https://openalex.org/S7407086848","display_name":"IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8787999749183655},{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.7207000255584717}],"sustainable_development_goals_aurora":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5299999713897705}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W291729710","https://openalex.org/W1997880753","https://openalex.org/W2009003336","https://openalex.org/W2022279235","https://openalex.org/W2027855416","https://openalex.org/W2060008495","https://openalex.org/W2061651455","https://openalex.org/W2109131669","https://openalex.org/W2124484773","https://openalex.org/W2152918251","https://openalex.org/W2153458569","https://openalex.org/W2171157447","https://openalex.org/W2296760620","https://openalex.org/W2539085224","https://openalex.org/W2594462820","https://openalex.org/W2601733549","https://openalex.org/W2604109811","https://openalex.org/W2604842041","https://openalex.org/W2610558073","https://openalex.org/W2615145192","https://openalex.org/W2736184807","https://openalex.org/W2783918973","https://openalex.org/W2793998795","https://openalex.org/W2808151983","https://openalex.org/W2911964244","https://openalex.org/W2914792944","https://openalex.org/W2921047495","https://openalex.org/W2976617869","https://openalex.org/W2979504203","https://openalex.org/W2982634526","https://openalex.org/W3037819751"],"related_works":["https://openalex.org/W4313409656","https://openalex.org/W2976617869","https://openalex.org/W4289174138","https://openalex.org/W4411334025","https://openalex.org/W2082569289","https://openalex.org/W4296591852","https://openalex.org/W3214709756","https://openalex.org/W1993026423","https://openalex.org/W3033920833","https://openalex.org/W6912265611"],"abstract_inverted_index":{"Driving":[0],"route":[1,21,28,39,50,67,84,141],"recommendation":[2,22,40,51,68,142],"systems":[3,14,23],"have":[4],"been":[5],"becoming":[6],"popular":[7],"due":[8],"to":[9,77,82,130],"high":[10,17],"demands":[11],"on":[12,34,109,174],"such":[13],"and":[15,62,105,112,126,160],"their":[16],"socio-economic":[18],"impacts.":[19],"Existing":[20],"cannot":[24],"provide":[25],"a":[26,42,48,87,93,98],"well-balanced":[27],"by":[29],"considering":[30,53,150],"the":[31,71,79,118,132,140,145,151,165,175],"user":[32],"preference":[33,154],"multiple":[35],"criteria":[36],"or":[37],"make":[38,83],"in":[41,86],"short":[43],"time.":[44],"This":[45],"paper":[46],"presents":[47],"multi-objective":[49],"system":[52,69,143],"three":[54],"different":[55],"attributes":[56],"(i.e.,":[57,103],"fuel":[58,127,158],"consumption,":[59,159],"travel":[60,124,156],"time,":[61,125,157],"air":[63,113,122,161],"quality).":[64],"The":[65],"proposed":[66,166],"uses":[70],"Q-learning":[72,146],"based":[73,173],"reinforcement":[74,147],"learning":[75,148],"algorithm":[76],"leverage":[78],"available":[80,100,180],"datasets":[81,108,177],"recommendations":[85],"timely":[88],"manner.":[89],"First,":[90],"we":[91,116,138,169],"build":[92],"road":[94,133],"network":[95,134],"graph":[96,135],"using":[97,144],"publicly":[99,179],"map":[101,181],"service":[102],"OpenStreetMap)":[104],"other":[106],"real-world":[107,176],"traffic,":[110],"weather,":[111],"substances.":[114],"Second,":[115],"utilize":[117],"existing":[119],"predictors":[120],"for":[121,155],"quality,":[123],"consumption":[128],"estimations":[129],"update":[131],"periodically.":[136],"Third,":[137],"design":[139],"approach":[149],"given":[152],"user's":[153],"quality.":[162],"To":[163],"evaluate":[164],"approach's":[167],"performance,":[168],"conduct":[170],"experimental":[171],"evaluations":[172],"with":[178],"service.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2021-03-01T00:00:00"}