{"id":"https://openalex.org/W3128987237","doi":"https://doi.org/10.1109/tits.2020.3031026","title":"How Fast You Will Drive? Predicting Speed of Customized Paths By Deep Neural Network","display_name":"How Fast You Will Drive? Predicting Speed of Customized Paths By Deep Neural Network","publication_year":2021,"publication_date":"2021-01-29","ids":{"openalex":"https://openalex.org/W3128987237","doi":"https://doi.org/10.1109/tits.2020.3031026","mag":"3128987237"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2020.3031026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.3031026","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/A5045287885","display_name":"Hao Yang","orcid":"https://orcid.org/0000-0001-6431-8956"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Yang","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA"],"raw_orcid":"https://orcid.org/0000-0001-6431-8956","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069712264","display_name":"Chenxi Liu","orcid":"https://orcid.org/0000-0002-5447-4768"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenxi Liu","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA"],"raw_orcid":"https://orcid.org/0000-0002-5447-4768","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058410192","display_name":"Meixin Zhu","orcid":"https://orcid.org/0000-0003-3291-3616"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meixin Zhu","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3291-3616","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087213835","display_name":"Xuegang Ban","orcid":"https://orcid.org/0000-0003-3605-971X"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuegang Ban","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3605-971X","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012268687","display_name":"Yinhai Wang","orcid":"https://orcid.org/0000-0002-4180-5628"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yinhai Wang","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA"],"raw_orcid":"https://orcid.org/0000-0002-4180-5628","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":3.7508,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.93598823,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"23","issue":"3","first_page":"2045","last_page":"2055"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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":1.0,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9973000288009644,"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/T10524","display_name":"Traffic control and management","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/path","display_name":"Path (computing)","score":0.7310113310813904},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6922589540481567},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.6502089500427246},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6465347409248352},{"id":"https://openalex.org/keywords/bespoke","display_name":"Bespoke","score":0.5853833556175232},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5607702136039734},{"id":"https://openalex.org/keywords/path-length","display_name":"Path length","score":0.551036536693573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48774486780166626},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.464033842086792},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3587167263031006},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3577064275741577}],"concepts":[{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.7310113310813904},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6922589540481567},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.6502089500427246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6465347409248352},{"id":"https://openalex.org/C44210515","wikidata":"https://www.wikidata.org/wiki/Q16968978","display_name":"Bespoke","level":2,"score":0.5853833556175232},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5607702136039734},{"id":"https://openalex.org/C129045301","wikidata":"https://www.wikidata.org/wiki/Q7144654","display_name":"Path length","level":2,"score":0.551036536693573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48774486780166626},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.464033842086792},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3587167263031006},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3577064275741577},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2020.3031026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.3031026","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":[{"display_name":"Sustainable cities and communities","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1533788422","https://openalex.org/W1536680647","https://openalex.org/W1971757341","https://openalex.org/W2004353783","https://openalex.org/W2043530786","https://openalex.org/W2047198484","https://openalex.org/W2064675550","https://openalex.org/W2154376416","https://openalex.org/W2556405044","https://openalex.org/W2572939427","https://openalex.org/W2573587735","https://openalex.org/W2575125657","https://openalex.org/W2579495707","https://openalex.org/W2708015072","https://openalex.org/W2724431948","https://openalex.org/W2775717462","https://openalex.org/W2788997482","https://openalex.org/W2802508687","https://openalex.org/W2807894308","https://openalex.org/W2900105886","https://openalex.org/W2914743966","https://openalex.org/W2945617360","https://openalex.org/W2963150697","https://openalex.org/W2976986257","https://openalex.org/W2981648413","https://openalex.org/W2996451395","https://openalex.org/W3010118086","https://openalex.org/W3015851013","https://openalex.org/W3016546268","https://openalex.org/W3041552048","https://openalex.org/W6635114048","https://openalex.org/W6685562342","https://openalex.org/W6726320248","https://openalex.org/W6747337883","https://openalex.org/W6764438181","https://openalex.org/W6765221556"],"related_works":["https://openalex.org/W2181465263","https://openalex.org/W3093969907","https://openalex.org/W2232750048","https://openalex.org/W2806540758","https://openalex.org/W4244794230","https://openalex.org/W3082526343","https://openalex.org/W2494533090","https://openalex.org/W4389712339","https://openalex.org/W2966906842","https://openalex.org/W4385256045"],"abstract_inverted_index":{"Customized":[0],"path-based":[1,77,183],"speed":[2,27,43,50,78,91,184,199],"prediction":[3,16,28,44,138,185],"is":[4,45,51,59,87,179],"an":[5],"eventful":[6],"tool":[7],"for":[8,17,75,93,114,122],"congestion":[9],"avoidance,":[10],"route":[11],"optimization":[12],"and":[13,22,35,58,97,106,129,150,160,187,192],"travel":[14],"time":[15],"navigation":[18],"apps,":[19],"cab-hailing":[20],"companies":[21],"autonomous":[23],"vehicles.":[24],"Traditionally,":[25],"the":[26,49,125,130,137,169,180],"algorithms":[29],"are":[30,120],"based":[31],"on":[32],"road":[33,141],"segments":[34,142],"can":[36,188],"only":[37],"support":[38],"several":[39],"main":[40],"roads.":[41],"Path-based":[42,81],"very":[46],"challenging":[47],"since":[48],"always":[52],"changing":[53],"in":[54,201],"different":[55,115],"path":[56,96,126,145],"locations":[57],"jointly":[60],"affected":[61],"by":[62],"lots":[63],"of":[64,117,157,166,171],"complicated":[65],"factors.":[66],"This":[67],"article":[68],"presents":[69],"a":[70,94,152],"novel":[71],"deep":[72,107],"learning":[73],"framework":[74],"customized":[76,144],"prediction.":[79],"A":[80,100],"Speed":[82],"Prediction":[83],"Neural":[84,103],"Network":[85,104],"(PSPNN)":[86],"designed":[88],"to":[89,143,194],"achieve":[90],"predictions":[92],"given":[95],"attributes":[98],"information.":[99],"hierarchical":[101],"Convolutional":[102],"(CNN)":[105],"Bidirectional":[108],"Long":[109],"Short-Term":[110],"Memory":[111],"(Bi-LSTM)":[112],"structure":[113],"kinds":[116],"feature":[118],"extraction":[119],"applied":[121],"multiple":[123],"levels:":[124],"cell,":[127],"sub-path":[128],"whole":[131],"path.":[132],"The":[133],"method":[134],"narrows":[135],"down":[136],"unit":[139],"from":[140],"cells":[146],"(mean":[147],"length:":[148],"59.52m)":[149],"achieves":[151],"mean":[153],"absolute":[154],"error":[155],"(MAE)":[156],"1.94":[158],"m/s":[159],"Mean":[161],"Absolute":[162],"Percentage":[163],"Error":[164],"(MAPE)":[165],"18.14&#x0025;,":[167],"showing":[168],"potential":[170],"serving":[172],"rigorous":[173],"data-driven":[174],"applications.":[175],"So":[176],"far,":[177],"PSPNN":[178],"first":[181],"made-to-order":[182],"algorithm":[186],"help":[189],"both":[190],"travelers":[191],"managers":[193],"obtain":[195],"large-scale":[196],"bespoke":[197],"paths":[198],"information":[200],"advance.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
