{"id":"https://openalex.org/W2981622696","doi":"https://doi.org/10.1109/icite.2019.8880199","title":"Modeling Perceived Accuracy of Traveler Information Systems under Mixed Traffic Conditions","display_name":"Modeling Perceived Accuracy of Traveler Information Systems under Mixed Traffic Conditions","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2981622696","doi":"https://doi.org/10.1109/icite.2019.8880199","mag":"2981622696"},"language":"en","primary_location":{"id":"doi:10.1109/icite.2019.8880199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icite.2019.8880199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th International Conference on Intelligent Transportation Engineering (ICITE)","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/A5084367032","display_name":"Shehna Basheer","orcid":"https://orcid.org/0000-0001-6398-907X"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shehna Basheer","raw_affiliation_strings":["Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101400433","display_name":"Karthik K. Srinivasan","orcid":"https://orcid.org/0000-0002-9862-0958"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Karthik K. Srinivasan","raw_affiliation_strings":["Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030845221","display_name":"R. Sivanandan","orcid":"https://orcid.org/0000-0001-8656-9705"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Sivanandan","raw_affiliation_strings":["Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Indian Institute of Technology Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11711749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"131","last_page":"135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9972000122070312,"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":0.9972000122070312,"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/T10068","display_name":"Technology Adoption and User Behaviour","score":0.979200005531311,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9577000141143799,"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/binary-logit-model","display_name":"Binary logit model","score":0.6201409697532654},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5846415162086487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5649281740188599},{"id":"https://openalex.org/keywords/information-system","display_name":"Information system","score":0.5535366535186768},{"id":"https://openalex.org/keywords/logit","display_name":"Logit","score":0.4721928834915161},{"id":"https://openalex.org/keywords/information-quality","display_name":"Information quality","score":0.46123290061950684},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.43607857823371887},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4289627969264984},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.41206127405166626},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.37878352403640747},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.19621139764785767},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14510932564735413},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12317439913749695},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08769106864929199}],"concepts":[{"id":"https://openalex.org/C2992215830","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Binary logit model","level":2,"score":0.6201409697532654},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5846415162086487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5649281740188599},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.5535366535186768},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.4721928834915161},{"id":"https://openalex.org/C45983554","wikidata":"https://www.wikidata.org/wiki/Q3412851","display_name":"Information quality","level":3,"score":0.46123290061950684},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.43607857823371887},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4289627969264984},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.41206127405166626},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.37878352403640747},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.19621139764785767},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14510932564735413},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12317439913749695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08769106864929199},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icite.2019.8880199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icite.2019.8880199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th International Conference on Intelligent Transportation Engineering (ICITE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W260152528","https://openalex.org/W260358649","https://openalex.org/W645124805","https://openalex.org/W786969938","https://openalex.org/W2003138122","https://openalex.org/W2004743683","https://openalex.org/W2022169393","https://openalex.org/W2064412592","https://openalex.org/W2079400681","https://openalex.org/W2111242646","https://openalex.org/W2148724704","https://openalex.org/W2472919525","https://openalex.org/W2801650195","https://openalex.org/W6609731831","https://openalex.org/W6676817917","https://openalex.org/W6720802348"],"related_works":["https://openalex.org/W2144455690","https://openalex.org/W4251559663","https://openalex.org/W2183133984","https://openalex.org/W3123618384","https://openalex.org/W2130793781","https://openalex.org/W2792481745","https://openalex.org/W4319863046","https://openalex.org/W2891233567","https://openalex.org/W3216334995","https://openalex.org/W3021446708"],"abstract_inverted_index":{"Advanced":[0],"Traveler":[1],"Information":[2],"Systems":[3],"(ATIS)":[4],"assists":[5],"travelers":[6],"in":[7,118],"making":[8],"informed":[9],"travel":[10],"decisions,":[11],"thereby":[12],"helping":[13],"them":[14],"to":[15,55,111],"avoid":[16],"delays":[17],"and":[18,27,39,58,108],"hazardous":[19],"situations.":[20],"This":[21],"improves":[22],"the":[23,30,34,43,48,67,71,105],"overall":[24],"traffic":[25],"safety":[26],"performance":[28],"of":[29,74,88],"network.":[31],"Even":[32],"if":[33,42],"information":[35,76,113,124],"system":[36,49],"provides":[37],"accurate":[38],"reliable":[40],"information,":[41],"travellers":[44],"do":[45],"not":[46],"perceive":[47],"quality":[50],"positively,":[51],"it":[52],"might":[53],"lead":[54],"less":[56],"compliance":[57],"consultation":[59],"by":[60,96],"travellers.":[61],"In":[62],"this":[63],"study,":[64],"we":[65],"identified":[66],"factors":[68],"that":[69,104],"influence":[70],"perceieved":[72],"accuracy":[73,90],"traveler":[75,112],"delivered":[77],"through":[78],"Variable":[79],"Message":[80],"Sign":[81],"(VMS)":[82],"boards.":[83],"A":[84],"binary":[85],"logit":[86],"model":[87],"perceived":[89],"is":[91],"developed":[92],"using":[93],"data":[94],"collected":[95],"revealed":[97],"preference":[98],"questionnaire":[99],"survey.":[100],"The":[101],"results":[102],"indicate":[103],"socioeconomic":[106],"characteristics":[107],"attributes":[109],"related":[110],"play":[114],"a":[115,120],"significant":[116],"role":[117],"developing":[119],"positive":[121],"perception":[122],"about":[123],"accuracy.":[125]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
