{"id":"https://openalex.org/W3215787733","doi":"https://doi.org/10.1145/3479242.3487329","title":"Predicting Traffic Characteristics of Real Road Scenarios in Jordan and Gulf Region","display_name":"Predicting Traffic Characteristics of Real Road Scenarios in Jordan and Gulf Region","publication_year":2021,"publication_date":"2021-11-18","ids":{"openalex":"https://openalex.org/W3215787733","doi":"https://doi.org/10.1145/3479242.3487329","mag":"3215787733"},"language":"en","primary_location":{"id":"doi:10.1145/3479242.3487329","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3479242.3487329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Symposium on QoS and Security for Wireless and Mobile Networks","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/A5044414661","display_name":"Raneem Qaddoura","orcid":"https://orcid.org/0000-0003-4093-9349"},"institutions":[{"id":"https://openalex.org/I100086675","display_name":"Al-Hussein Bin Talal University","ror":"https://ror.org/019dkd780","country_code":"JO","type":"education","lineage":["https://openalex.org/I100086675"]},{"id":"https://openalex.org/I4405260986","display_name":"Al Hussein Technical University","ror":"https://ror.org/04jvdr241","country_code":"JO","type":"education","lineage":["https://openalex.org/I4405260986"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Raneem Qaddoura","raw_affiliation_strings":["Al Hussein Technical University, Amman, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Al Hussein Technical University, Amman, Jordan","institution_ids":["https://openalex.org/I100086675","https://openalex.org/I4405260986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005168882","display_name":"Maram Bani Younes","orcid":"https://orcid.org/0000-0002-3844-6409"},"institutions":[{"id":"https://openalex.org/I153921779","display_name":"Philadelphia University","ror":"https://ror.org/05mqvn149","country_code":"JO","type":"education","lineage":["https://openalex.org/I153921779"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Maram Bani Younes","raw_affiliation_strings":["Philadelphia University &amp; University of Ottawa, Amman, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Philadelphia University &amp; University of Ottawa, Amman, Jordan","institution_ids":["https://openalex.org/I153921779"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012195474","display_name":"Azzedine Boukerche","orcid":"https://orcid.org/0000-0002-3851-9938"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Azzedine Boukerche","raw_affiliation_strings":["University of Ottawa, Ottawa, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ottawa, Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8917,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.95382129,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"115","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11106","display_name":"Data Management and Algorithms","score":0.9805999994277954,"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/context","display_name":"Context (archaeology)","score":0.6865307688713074},{"id":"https://openalex.org/keywords/traffic-speed","display_name":"Traffic speed","score":0.680243968963623},{"id":"https://openalex.org/keywords/traffic-volume","display_name":"Traffic volume","score":0.6420380473136902},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6407954692840576},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5553346872329712},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.5512410998344421},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5098339915275574},{"id":"https://openalex.org/keywords/road-traffic","display_name":"Road traffic","score":0.4854045808315277},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4299026131629944},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4246172606945038},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.41332846879959106},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.31145018339157104},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.27274054288864136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.253153920173645},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21945378184318542},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20467609167099}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6865307688713074},{"id":"https://openalex.org/C2993660032","wikidata":"https://www.wikidata.org/wiki/Q746984","display_name":"Traffic speed","level":2,"score":0.680243968963623},{"id":"https://openalex.org/C168443057","wikidata":"https://www.wikidata.org/wiki/Q7001223","display_name":"Traffic volume","level":2,"score":0.6420380473136902},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6407954692840576},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5553346872329712},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5512410998344421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5098339915275574},{"id":"https://openalex.org/C2985695025","wikidata":"https://www.wikidata.org/wiki/Q4323994","display_name":"Road traffic","level":2,"score":0.4854045808315277},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4299026131629944},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4246172606945038},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.41332846879959106},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.31145018339157104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27274054288864136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.253153920173645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21945378184318542},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20467609167099},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3479242.3487329","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3479242.3487329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Symposium on QoS and Security for Wireless and Mobile Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7599999904632568,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2080271103","https://openalex.org/W2101234009","https://openalex.org/W2128431497","https://openalex.org/W2533975927","https://openalex.org/W2886287742","https://openalex.org/W2896179998","https://openalex.org/W2903709398","https://openalex.org/W2968213045","https://openalex.org/W2989621528","https://openalex.org/W2991137751","https://openalex.org/W2997591727","https://openalex.org/W3016160189","https://openalex.org/W3021462140","https://openalex.org/W3089504086","https://openalex.org/W3092248518"],"related_works":["https://openalex.org/W4308419594","https://openalex.org/W4245696279","https://openalex.org/W2157372921","https://openalex.org/W612734624","https://openalex.org/W2049320342","https://openalex.org/W578143645","https://openalex.org/W1547774771","https://openalex.org/W783383701","https://openalex.org/W586529936","https://openalex.org/W3117232985"],"abstract_inverted_index":{"The":[0,13,33],"traffic":[1,34,36,38,41,89],"characteristics":[2,47,52,90],"over":[3],"the":[4,17,21,27,44,60,88,98,105,111,118,131,136],"road":[5],"network":[6],"vary":[7],"from":[8],"a":[9],"country":[10],"to":[11,72,86],"another.":[12],"geometric":[14],"parameters":[15],"of":[16,64,91,100,126,142],"designed":[18],"roads":[19,95,133],"and":[20,24,40,62,83,104,128],"driving":[22],"habits":[23],"behavior":[25],"represent":[26],"main":[28,45,93],"factors":[29,58],"in":[30,96,124],"this":[31,68],"aspect.":[32],"volume,":[35],"speed,":[37],"density,":[39],"context":[42],"are":[43],"interesting":[46],"for":[48,130,139],"investigation.":[49],"Predicting":[50],"these":[51],"is":[53],"also":[54],"affected":[55],"by":[56],"several":[57],"including":[59,78],"position":[61],"speed":[63],"each":[65],"vehicle.":[66],"In":[67],"work,":[69],"we":[70,114],"aim":[71],"use":[73],"some":[74],"machine":[75],"learning":[76],"techniques":[77],"Linear":[79],"Regression,":[80],"K-Nearest":[81],"Neighbor,":[82],"Decision":[84],"Tree":[85],"predict":[87],"six":[92,132],"selected":[94],"Jordan,":[97],"Kingdom":[99],"Saudi":[101],"Arabia":[102],"(KSA),":[103],"United":[106],"Arab":[107],"Emirates":[108],"(UAE).":[109],"From":[110],"experimental":[112],"results,":[113],"can":[115],"infer":[116],"that":[117],"KNN":[119],"algorithm":[120],"gives":[121],"better":[122],"results":[123],"terms":[125],"$RMSE$":[127],"$R^2$":[129],"when":[134],"predicting":[135],"vehicles'":[137],"information":[138],"future":[140],"periods":[141],"time.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
