{"id":"https://openalex.org/W4240592552","doi":"https://doi.org/10.1109/distra.2017.8167676","title":"High-performance mesoscopic traffic simulation with GPU for large scale networks","display_name":"High-performance mesoscopic traffic simulation with GPU for large scale networks","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W4240592552","doi":"https://doi.org/10.1109/distra.2017.8167676"},"language":"en","primary_location":{"id":"doi:10.1109/distra.2017.8167676","is_oa":false,"landing_page_url":"https://doi.org/10.1109/distra.2017.8167676","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications (DS-RT)","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/A5031592018","display_name":"Vinh-An Vu","orcid":"https://orcid.org/0000-0002-8755-3622"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Vinh An Vu","raw_affiliation_strings":["School of Computing, National University Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, National University Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014868878","display_name":"Gary Tan","orcid":"https://orcid.org/0000-0002-6714-2092"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Gary Tan","raw_affiliation_strings":["School of Computing, National University Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, National University Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9950000047683716,"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"}},"topics":[{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9950000047683716,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9908999800682068,"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/T10591","display_name":"Theoretical and Computational Physics","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/3104","display_name":"Condensed Matter Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mesoscopic-physics","display_name":"Mesoscopic physics","score":0.9104562997817993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7578839659690857},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6987841129302979},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.6518003940582275},{"id":"https://openalex.org/keywords/traffic-simulation","display_name":"Traffic simulation","score":0.5147019028663635},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5054349899291992},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.43930238485336304},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4144967794418335},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3815622627735138},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3005009889602661},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.21916186809539795},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11629471182823181},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1072530448436737},{"id":"https://openalex.org/keywords/microsimulation","display_name":"Microsimulation","score":0.07573708891868591},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07470718026161194},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.07095879316329956}],"concepts":[{"id":"https://openalex.org/C177731217","wikidata":"https://www.wikidata.org/wiki/Q2622244","display_name":"Mesoscopic physics","level":2,"score":0.9104562997817993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7578839659690857},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6987841129302979},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6518003940582275},{"id":"https://openalex.org/C2778391309","wikidata":"https://www.wikidata.org/wiki/Q7832527","display_name":"Traffic simulation","level":3,"score":0.5147019028663635},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5054349899291992},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.43930238485336304},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4144967794418335},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3815622627735138},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3005009889602661},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.21916186809539795},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11629471182823181},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1072530448436737},{"id":"https://openalex.org/C2780015235","wikidata":"https://www.wikidata.org/wiki/Q1934035","display_name":"Microsimulation","level":2,"score":0.07573708891868591},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07470718026161194},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.07095879316329956},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/distra.2017.8167676","is_oa":false,"landing_page_url":"https://doi.org/10.1109/distra.2017.8167676","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE/ACM 21st International Symposium on Distributed Simulation and Real Time Applications (DS-RT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W133635531","https://openalex.org/W180417744","https://openalex.org/W645173616","https://openalex.org/W1566460688","https://openalex.org/W2035447179","https://openalex.org/W2037963614","https://openalex.org/W2055264168","https://openalex.org/W2070630412","https://openalex.org/W2107675677","https://openalex.org/W2110386908","https://openalex.org/W2112688502","https://openalex.org/W2117689653","https://openalex.org/W2122992946","https://openalex.org/W2270522508","https://openalex.org/W2318470634","https://openalex.org/W2591177254","https://openalex.org/W6633698302","https://openalex.org/W6677381316"],"related_works":["https://openalex.org/W2607764626","https://openalex.org/W2359690248","https://openalex.org/W2168617161","https://openalex.org/W2375631344","https://openalex.org/W1992513181","https://openalex.org/W1430706382","https://openalex.org/W2012266395","https://openalex.org/W2241578464","https://openalex.org/W634299062","https://openalex.org/W2791977453"],"abstract_inverted_index":{"Mesoscopic":[0,24,38],"Traffic":[1,25],"Simulation":[2,26],"is":[3,67,149],"an":[4,122],"important":[5],"tool":[6],"in":[7,44,69],"traffic":[8,11,17,33,39,50,65,94,107,147],"analysis":[9,124],"and":[10,20,35,52,115,131,143],"management":[12],"support.":[13],"The":[14],"balance":[15],"between":[16,128],"modeling":[18,117],"details":[19],"performance":[21,62,132],"has":[22],"made":[23],"one":[27],"of":[28,63,74,138],"the":[29,61,87,126,136],"key":[30],"solutions":[31],"for":[32,54,77],"controllers":[34],"policy":[36],"makers.":[37],"simulators":[40,66],"offer":[41],"acceptable":[42],"speed":[43,91,104,152],"simulating":[45],"normal":[46],"traffic.":[47],"However,":[48],"when":[49],"prediction":[51,81],"optimization":[53],"large":[55],"scale":[56],"networks":[57],"come":[58],"into":[59,125],"context,":[60],"mesoscopic":[64,93,106,146],"unsatisfactory":[68],"optimizing":[70],"a":[71,78,99],"massive":[72],"number":[73],"control":[75],"parameters":[76],"much":[79],"longer":[80],"horizon.":[82],"This":[83,96],"issue":[84],"again":[85],"emphasizes":[86],"need":[88],"to":[89,102,151,154,160],"further":[90],"up":[92,105,153],"simulation.":[95],"paper":[97],"proposes":[98],"comprehensive":[100],"framework":[101],"massively":[103],"simulation":[108,129,148],"using":[109],"GPU":[110,139],"without":[111],"compromising":[112],"its":[113],"correctness":[114,130],"realistic":[116],"property.":[118],"It":[119],"also":[120],"gives":[121],"in-depth":[123],"trade-off":[127],"speedup.":[133],"By":[134],"combining":[135],"power":[137],"with":[140],"optimal":[141],"design":[142],"data":[144],"structures,":[145],"able":[150],"more":[155],"than":[156],"6":[157],"times":[158],"compared":[159],"original":[161],"CPU":[162],"implementation.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}