{"id":"https://openalex.org/W2807875231","doi":"https://doi.org/10.1109/wcnc.2018.8377056","title":"Personalized optimal bicycle trip planning based on Q-learning algorithm","display_name":"Personalized optimal bicycle trip planning based on Q-learning algorithm","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2807875231","doi":"https://doi.org/10.1109/wcnc.2018.8377056","mag":"2807875231"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc.2018.8377056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2018.8377056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-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/A5100416532","display_name":"Yun Chen","orcid":"https://orcid.org/0000-0002-2338-6909"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yun Chen","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024407448","display_name":"Wen Yan","orcid":"https://orcid.org/0009-0009-4104-269X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Yan","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083864182","display_name":"Chunguo Li","orcid":"https://orcid.org/0000-0002-4689-7226"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunguo Li","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056225611","display_name":"Yongming Huang","orcid":"https://orcid.org/0009-0009-2545-2875"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongming Huang","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045457613","display_name":"L\u00fcxi Yang","orcid":"https://orcid.org/0000-0003-1474-1806"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luxi Yang","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100416532"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.8848,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76921737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9991000294685364,"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":0.9991000294685364,"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/T12546","display_name":"Smart Parking Systems Research","score":0.9984999895095825,"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":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6750317811965942},{"id":"https://openalex.org/keywords/tweaking","display_name":"Tweaking","score":0.6550037860870361},{"id":"https://openalex.org/keywords/trips-architecture","display_name":"TRIPS architecture","score":0.6463159322738647},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6188742518424988},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.5866312980651855},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5568757057189941},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41317951679229736},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3442270755767822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3153625726699829},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20282021164894104},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11176320910453796}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6750317811965942},{"id":"https://openalex.org/C2780200862","wikidata":"https://www.wikidata.org/wiki/Q4453309","display_name":"Tweaking","level":2,"score":0.6550037860870361},{"id":"https://openalex.org/C157085824","wikidata":"https://www.wikidata.org/wiki/Q2384809","display_name":"TRIPS architecture","level":2,"score":0.6463159322738647},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6188742518424988},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.5866312980651855},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5568757057189941},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41317951679229736},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3442270755767822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3153625726699829},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20282021164894104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11176320910453796},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcnc.2018.8377056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc.2018.8377056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W1977556410","https://openalex.org/W1993026423","https://openalex.org/W2001155602","https://openalex.org/W2054638116","https://openalex.org/W2059512502","https://openalex.org/W2236009467","https://openalex.org/W2444485119","https://openalex.org/W2508716390","https://openalex.org/W2583504941","https://openalex.org/W2620929994","https://openalex.org/W2741462375","https://openalex.org/W3105196786","https://openalex.org/W6689584527"],"related_works":["https://openalex.org/W4241780599","https://openalex.org/W2968428037","https://openalex.org/W1981619058","https://openalex.org/W4244708442","https://openalex.org/W2152101763","https://openalex.org/W4323777416","https://openalex.org/W2505446473","https://openalex.org/W2057518680","https://openalex.org/W4394339218","https://openalex.org/W2738037186"],"abstract_inverted_index":{"Traveling":[0],"by":[1],"bicycle":[2,18,47,104],"has":[3,28],"become":[4],"a":[5,55,126],"rising":[6],"trend":[7],"recently":[8],"for":[9,16,24,42,97,100,182],"its":[10],"convenience":[11],"and":[12,49,80,125,128,140,179],"flexibility,":[13],"which":[14],"calls":[15],"considerate":[17],"trip":[19,26,139,192],"planning":[20,27,101,143,163],"schemes.":[21],"While":[22],"research":[23],"traditional":[25],"focused":[29],"on":[30,77,83,158],"quantized":[31],"quality":[32],"of":[33,62,71,155,188],"point-of-interest":[34],"(POI)":[35],"or":[36],"correlations":[37],"among":[38],"POIs,":[39],"problems":[40],"appear":[41],"distinct":[43],"influential":[44],"factors":[45],"in":[46,54,118,176],"trips":[48],"being":[50],"unable":[51],"to":[52,67,135,150],"plan":[53],"foreseeable":[56],"stage":[57],"with":[58],"satisfying":[59],"various":[60],"demands":[61,111],"cyclists.":[63],"In":[64],"this":[65],"paper,":[66],"alleviate":[68],"the":[69,86,119,138,142,153,168,180,186],"deficiencies":[70],"conventional":[72],"approaches":[73],"that":[74,167],"merely":[75],"concentrating":[76],"temporary":[78],"interests":[79],"fully":[81],"depending":[82],"greedy":[84],"algorithm,":[85],"active":[87],"Q-learning":[88],"algorithm":[89,132],"derived":[90],"from":[91],"reinforcement":[92],"learning":[93],"(RL)":[94],"is":[95,123,133,173],"adopted":[96],"Q-value":[98],"iteration":[99],"overall":[102,189],"optimal":[103,169],"trips.":[105],"To":[106],"further":[107],"meet":[108],"personal":[109],"improvised":[110],"such":[112],"as":[113],"containing":[114],"some":[115],"specific":[116],"places":[117],"trip,":[120],"Tailored":[121,183],"Trip":[122,184],"provided":[124],"dynamic":[127],"flexible":[129],"place":[130],"inserting":[131],"proposed":[134],"automatically":[136],"tweak":[137],"keep":[141],"optimum":[144],"status.":[145],"Experiments":[146],"have":[147],"been":[148],"conducted":[149],"intuitively":[151],"evaluate":[152],"performance":[154],"our":[156,177],"schemes":[157,178],"two":[159],"real-world":[160],"datasets.":[161],"The":[162],"results":[164],"clearly":[165],"illustrate":[166],"node":[170],"choosing":[171],"policy":[172],"continuously":[174],"reinforced":[175],"result":[181],"highlights":[185],"guarantee":[187],"superiority":[190],"after":[191],"tweaking.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}