{"id":"https://openalex.org/W2962744155","doi":"https://doi.org/10.1109/vtcspring.2017.8108301","title":"VehSense: Slippery Road Detection Using Smartphones","display_name":"VehSense: Slippery Road Detection Using Smartphones","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2962744155","doi":"https://doi.org/10.1109/vtcspring.2017.8108301","mag":"2962744155"},"language":"en","primary_location":{"id":"doi:10.1109/vtcspring.2017.8108301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2017.8108301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 85th Vehicular Technology Conference (VTC Spring)","raw_type":"proceedings-article"},"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/A5101802512","display_name":"Yunfei Hou","orcid":"https://orcid.org/0000-0001-9443-4026"},"institutions":[{"id":"https://openalex.org/I43369023","display_name":"California State University, San Bernardino","ror":"https://ror.org/02n651896","country_code":"US","type":"education","lineage":["https://openalex.org/I43369023"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunfei Hou","raw_affiliation_strings":["School of Computer Science and Engineering, California State University, San Bernardino, U.S"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, California State University, San Bernardino, U.S","institution_ids":["https://openalex.org/I43369023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100727390","display_name":"Abhishek Gupta","orcid":"https://orcid.org/0000-0002-2057-826X"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhishek Gupta","raw_affiliation_strings":["Department of Computer Science and Engineering, University at Buffalo, U.S"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University at Buffalo, U.S","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100713384","display_name":"Tong Guan","orcid":"https://orcid.org/0009-0005-3748-9510"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tong Guan","raw_affiliation_strings":["Department of Computer Science and Engineering, University at Buffalo, U.S"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University at Buffalo, U.S","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032992976","display_name":"Shaohan Hu","orcid":"https://orcid.org/0000-0002-2877-2665"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210106712","display_name":"Alliance for Safe Kids","ror":"https://ror.org/01922pt58","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210106712"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaohan Hu","raw_affiliation_strings":["IBM Research, Yorktown Heights, NY, U.S"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research, Yorktown Heights, NY, U.S","institution_ids":["https://openalex.org/I1341412227","https://openalex.org/I4210106712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100732938","display_name":"L\u00fc Su","orcid":"https://orcid.org/0000-0001-7223-543X"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lu Su","raw_affiliation_strings":["Department of Computer Science and Engineering, University at Buffalo, U.S"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University at Buffalo, U.S","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100728176","display_name":"Chunming Qiao","orcid":"https://orcid.org/0000-0002-4679-6572"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chunming Qiao","raw_affiliation_strings":["Department of Computer Science and Engineering, University at Buffalo, U.S"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University at Buffalo, U.S","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/automotive-engineering","display_name":"Automotive engineering","score":0.644071638584137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6100919246673584},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5968008041381836},{"id":"https://openalex.org/keywords/anti-lock-braking-system","display_name":"Anti-lock braking system","score":0.5923537015914917},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5816922783851624},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.5091654658317566},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.4868437647819519},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.442840039730072},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.42472606897354126},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.4207320809364319},{"id":"https://openalex.org/keywords/on-board","display_name":"On board","score":0.41483473777770996},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.38281989097595215},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.33043450117111206},{"id":"https://openalex.org/keywords/brake","display_name":"Brake","score":0.2588370442390442},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2578096091747284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15063521265983582},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.14066225290298462},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09778758883476257}],"concepts":[{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.644071638584137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6100919246673584},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5968008041381836},{"id":"https://openalex.org/C67908869","wikidata":"https://www.wikidata.org/wiki/Q190660","display_name":"Anti-lock braking system","level":3,"score":0.5923537015914917},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5816922783851624},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.5091654658317566},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.4868437647819519},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.442840039730072},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.42472606897354126},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.4207320809364319},{"id":"https://openalex.org/C3018963415","wikidata":"https://www.wikidata.org/wiki/Q16878425","display_name":"On board","level":2,"score":0.41483473777770996},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.38281989097595215},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.33043450117111206},{"id":"https://openalex.org/C2780999251","wikidata":"https://www.wikidata.org/wiki/Q17022503","display_name":"Brake","level":2,"score":0.2588370442390442},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2578096091747284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15063521265983582},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.14066225290298462},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09778758883476257},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcspring.2017.8108301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcspring.2017.8108301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 85th Vehicular Technology Conference (VTC Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W631796507","https://openalex.org/W2061004358","https://openalex.org/W2063969953","https://openalex.org/W2094798766","https://openalex.org/W2105989635","https://openalex.org/W2118999539","https://openalex.org/W2144169341","https://openalex.org/W2173667989","https://openalex.org/W6685536622"],"related_works":["https://openalex.org/W2765080098","https://openalex.org/W2385749422","https://openalex.org/W2992410632","https://openalex.org/W2004312940","https://openalex.org/W2768717251","https://openalex.org/W2025756212","https://openalex.org/W2374361882","https://openalex.org/W1969479488","https://openalex.org/W1909961747","https://openalex.org/W1938318326"],"abstract_inverted_index":{"This":[0,36],"paper":[1],"investigates":[2],"a":[3,18,103],"new":[4],"application":[5],"of":[6,122],"vehicular":[7],"sensing:":[8],"detecting":[9],"and":[10,20,30,49,54,80,82,126,141],"reporting":[11],"the":[12,41,56,90,123],"slippery":[13,60],"road":[14,61],"conditions.":[15],"We":[16,132],"describe":[17],"system":[19,135],"associated":[21],"algorithm":[22],"to":[23,58,101],"monitor":[24,59],"vehicle":[25,50,78,109,147],"skidding":[26,104,148],"events":[27],"using":[28],"smartphones":[29],"OBD-II":[31,91],"(On":[32],"board":[33],"Diagnostics)":[34],"adapters.":[35],"system,":[37],"which":[38,74,86],"we":[39],"call":[40],"VehSense,":[42],"gathers":[43],"data":[44,57,112],"from":[45,89],"smartphone":[46],"inertial":[47],"sensors":[48],"wheel":[51,84],"speed":[52,67],"sensors,":[53],"processes":[55],"conditions":[62],"in":[63],"real-time.":[64],"Specifically,":[65],"two":[66,97],"readings":[68],"are":[69],"collected:":[70],"1)":[71],"ground":[72],"speed,":[73,85],"is":[75,87,99,118],"estimated":[76],"by":[77],"acceleration":[79],"rotation,":[81],"2)":[83],"retrieved":[88],"interface.":[92],"The":[93],"mismatch":[94],"between":[95],"these":[96],"speeds":[98],"used":[100],"infer":[102],"event.":[105],"Without":[106],"tapping":[107],"into":[108],"manufactures'":[110],"proprietary":[111],"(e.g.,":[113],"antilock":[114],"braking":[115],"system),":[116],"VehSense":[117],"compatible":[119],"with":[120],"most":[121],"passenger":[124],"vehicles,":[125],"thus":[127],"can":[128,145],"be":[129],"easily":[130],"deployed.":[131],"evaluate":[133],"our":[134],"on":[136],"snow-covered":[137],"roads":[138],"at":[139],"Buffalo,":[140],"show":[142],"that":[143],"it":[144],"detect":[146],"effectively.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}