{"id":"https://openalex.org/W4396682634","doi":"https://doi.org/10.1145/3645279.3645312","title":"Real-time Road Condition Analysis Algorithm in Highly Available Map Services Integrating Multisource Data Fusion","display_name":"Real-time Road Condition Analysis Algorithm in Highly Available Map Services Integrating Multisource Data Fusion","publication_year":2023,"publication_date":"2023-11-17","ids":{"openalex":"https://openalex.org/W4396682634","doi":"https://doi.org/10.1145/3645279.3645312"},"language":"en","primary_location":{"id":"doi:10.1145/3645279.3645312","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3645279.3645312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Big Data Mining and Information Processing","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":null,"display_name":"Ying Jiang","orcid":"https://orcid.org/0009-0008-3641-6522"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Jiang","raw_affiliation_strings":["Xiamen Great Power Geo Information Technology Company Ltd, China"],"raw_orcid":"https://orcid.org/0009-0008-3641-6522","affiliations":[{"raw_affiliation_string":"Xiamen Great Power Geo Information Technology Company Ltd, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059157946","display_name":"Mingshan Sun","orcid":"https://orcid.org/0009-0000-2426-544X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingshan Sun","raw_affiliation_strings":["Xiamen Great Power Geo Information Technology Company Ltd, China"],"raw_orcid":"https://orcid.org/0009-0000-2426-544X","affiliations":[{"raw_affiliation_string":"Xiamen Great Power Geo Information Technology Company Ltd, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ting Weng","orcid":"https://orcid.org/0009-0000-9700-956X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ting Weng","raw_affiliation_strings":["Xiamen Great Power Geo Information Technology Company Ltd, China"],"raw_orcid":"https://orcid.org/0009-0000-9700-956X","affiliations":[{"raw_affiliation_string":"Xiamen Great Power Geo Information Technology Company Ltd, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102912290","display_name":"Fei Cao","orcid":"https://orcid.org/0009-0007-6424-1064"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fei Cao","raw_affiliation_strings":["Xiamen Great Power Geo Information Technology Company Ltd, China"],"raw_orcid":"https://orcid.org/0009-0007-6424-1064","affiliations":[{"raw_affiliation_string":"Xiamen Great Power Geo Information Technology Company Ltd, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23595222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"194","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.8858000040054321,"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":0.8858000040054321,"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/T13955","display_name":"Evaluation Methods in Various Fields","score":0.8170999884605408,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.8082000017166138,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7295084595680237},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5675268173217773},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.549768328666687},{"id":"https://openalex.org/keywords/road-map","display_name":"Road map","score":0.5332479476928711},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5155715346336365},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48129335045814514},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4648541212081909},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.42797982692718506},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4122101068496704},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3212035894393921},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.21059995889663696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1966305673122406},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.16652563214302063},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16074404120445251},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12653040885925293}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7295084595680237},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5675268173217773},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.549768328666687},{"id":"https://openalex.org/C188048851","wikidata":"https://www.wikidata.org/wiki/Q2298569","display_name":"Road map","level":2,"score":0.5332479476928711},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5155715346336365},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48129335045814514},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4648541212081909},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.42797982692718506},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4122101068496704},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3212035894393921},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.21059995889663696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1966305673122406},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.16652563214302063},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16074404120445251},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12653040885925293},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3645279.3645312","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3645279.3645312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Big Data Mining and Information Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5299999713897705,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2988721418","https://openalex.org/W2387833105","https://openalex.org/W1770087281","https://openalex.org/W2083784997","https://openalex.org/W4366983198","https://openalex.org/W2140548984","https://openalex.org/W2150694362","https://openalex.org/W2032499165","https://openalex.org/W2384924343","https://openalex.org/W2378616961"],"abstract_inverted_index":{"Currently,":[0],"most":[1],"map":[2,25,54,61,149,159],"service":[3],"products":[4],"mainly":[5],"focus":[6],"on":[7,34,88],"static":[8],"road":[9,16,29,48,72,83,98,138],"information":[10,74],"services,":[11,150],"and":[12,67,78,101,136,141,146,155],"highly":[13,45],"available":[14,46],"dynamic":[15,47,69,95],"condition":[17,30,49,73,84,139],"analysis":[18,31,50,85,96],"algorithms":[19,51,86],"are":[20],"relatively":[21],"rare":[22],"in":[23,52,126],"current":[24],"services.":[26,55,160],"A":[27],"real-time":[28,82,102,137],"algorithm":[32,57,116],"based":[33,87],"multi-source":[35,89],"data":[36,63,76,90],"fusion":[37,91],"is":[38],"proposed":[39],"to":[40,132],"address":[41],"the":[42,65,112,124,129,143,153],"application":[43],"of":[44,71,97,104,114,148,158],"actual":[53],"This":[56],"first":[58],"utilizes":[59],"internet":[60],"big":[62],"as":[64,119,121],"foundation":[66],"achieves":[68],"updates":[70],"through":[75],"mining":[77],"other":[79],"technologies;":[80],"secondly,":[81],"can":[92,117],"effectively":[93],"achieve":[94],"traffic":[99,105],"conditions":[100],"prediction":[103],"congestion.":[106],"The":[107],"experimental":[108],"results":[109],"show":[110],"that":[111],"accuracy":[113],"this":[115,127],"reach":[118],"high":[120,144],"95.6%.":[122],"Through":[123],"research":[125],"article,":[128],"paper":[130],"hope":[131],"provide":[133],"more":[134],"accurate":[135],"information,":[140],"ensure":[142],"reliability":[145],"stability":[147],"thereby":[151],"improving":[152],"quality":[154],"user":[156],"experience":[157]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
