{"id":"https://openalex.org/W2745169959","doi":"https://doi.org/10.1109/mtits.2017.8005720","title":"Network work trip assignment for agent-based simulation accounting for travel time","display_name":"Network work trip assignment for agent-based simulation accounting for travel time","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2745169959","doi":"https://doi.org/10.1109/mtits.2017.8005720","mag":"2745169959"},"language":"en","primary_location":{"id":"doi:10.1109/mtits.2017.8005720","doi":"https://doi.org/10.1109/mtits.2017.8005720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mtits.2017.8005720","pdf_url":null,"source":{"id":"https://openalex.org/S4306422665","display_name":"IEEE International Conference on Models and Technologies for Intelligent Transportation Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5018861468","display_name":"Nicholas Fournier","orcid":"https://orcid.org/0000-0002-4722-4138","observed_orcids":["https://orcid.org/0000-0002-4722-4138"]},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas Fournier","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Massachusetts, Amherst, Amherst, Massachusetts"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Massachusetts, Amherst, Amherst, Massachusetts","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031027645","display_name":"Eleni Christofa","orcid":"https://orcid.org/0000-0002-8740-5558","observed_orcids":["https://orcid.org/0000-0002-8740-5558"]},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eleni Christofa","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Massachusetts, Amherst, Amherst, Massachusetts"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Massachusetts, Amherst, Amherst, Massachusetts","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24603500"],"apc_list":null,"apc_paid":null,"fwci":0.3029,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50959233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"9","issue":null,"first_page":"480","last_page":"485"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.86080002784729,"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":0.86080002784729,"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/T14509","display_name":"demographic modeling and climate adaptation","score":0.09769999980926514,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.014499999582767487,"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/travel-time-constraints","display_name":"travel time constraints","score":0.6520000100135803},{"id":"https://openalex.org/keywords/agent-based-modeling","display_name":"agent-based modeling","score":0.8769999742507935},{"id":"https://openalex.org/keywords/destination-choice","display_name":"destination choice","score":0.578000009059906}],"concepts":[{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.66349196434021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6331077218055725},{"id":"https://openalex.org/C2776687071","wikidata":"https://www.wikidata.org/wiki/Q5265193","display_name":"Destinations","level":3,"score":0.5201935768127441},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4948655962944031},{"id":"https://openalex.org/C87889798","wikidata":"https://www.wikidata.org/wiki/Q1543986","display_name":"Gravity model of trade","level":2,"score":0.45353034138679504},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4525243639945984},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.4480687081813812},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4190242290496826},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3229464590549469},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.30322420597076416},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15943297743797302},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15232640504837036},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.10497534275054932},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09979987144470215},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mtits.2017.8005720","doi":"https://doi.org/10.1109/mtits.2017.8005720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mtits.2017.8005720","pdf_url":null,"source":{"id":"https://openalex.org/S4306422665","display_name":"IEEE International Conference on Models and Technologies for Intelligent Transportation Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320332815","display_name":"Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W159376099","https://openalex.org/W200368622","https://openalex.org/W1563690153","https://openalex.org/W1979258712","https://openalex.org/W1981387227","https://openalex.org/W2006222780","https://openalex.org/W2024208934","https://openalex.org/W2029420412","https://openalex.org/W2046035058","https://openalex.org/W2083798126","https://openalex.org/W2090978188","https://openalex.org/W2097747967","https://openalex.org/W2334591607"],"related_works":["https://openalex.org/W1546010177","https://openalex.org/W744492539","https://openalex.org/W7098364001","https://openalex.org/W3007628849","https://openalex.org/W4293193899","https://openalex.org/W4213252314","https://openalex.org/W180088544","https://openalex.org/W7098510522","https://openalex.org/W4392524209","https://openalex.org/W2022988396"],"abstract_inverted_index":{"With":[0],"advances":[1],"in":[2,39,139],"computational":[3],"power":[4],"and":[5,191],"larger":[6,30],"sample":[7,31,68],"data":[8,18,32,76],"sources,":[9,81,117],"destination":[10],"choices":[11],"can":[12],"be":[13],"determined":[14],"from":[15,25,66,154],"the":[16,88,140,166,170,180,199],"disaggregated":[17,100,113],"itself":[19],"using":[20,102,115,123,186],"logit":[21],"models":[22],"rather":[23],"than":[24],"aggregated":[26,73,104,116],"gravity":[27,89],"models.":[28],"Unfortunately,":[29],"are":[33,77],"required":[34],"as":[35],"spatial":[36,56],"resolution":[37,57,72],"increases":[38],"such":[40],"models,":[41],"which":[42],"is":[43,211],"often":[44],"limited":[45,67],"due":[46,63],"to":[47,64,96,99,160,205],"privacy":[48],"restrictions":[49],"or":[50],"survey":[51],"costs.":[52],"This":[53,106,128,193],"makes":[54],"higher":[55],"work":[58],"trip":[59],"OD":[60,74,84,124],"assignment":[61,85,210],"inaccurate":[62],"over-aggregation":[65],"data.":[69],"Alternatively,":[70],"high":[71],"employment":[75],"available":[78],"through":[79],"Census":[80],"making":[82],"detailed":[83],"possible":[86,173],"with":[87],"model.":[90],"The":[91],"challenge":[92],"now":[93],"becomes":[94],"how":[95],"assign":[97],"destinations":[98,114,174,207],"individuals":[101,138,202],"spatially":[103],"sources.":[105],"paper":[107],"explores":[108],"a":[109,133,162],"method":[110],"of":[111,136,172,189,201],"assigning":[112],"constrained":[118],"by":[119,152],"individual":[120,187],"travel":[121,125,195],"time":[122,126,196],"matrices.":[127],"process":[129],"was":[130],"performed":[131],"on":[132],"synthetic":[134],"population":[135],"4.1-million":[137],"Boston,":[141],"Massachusetts":[142],"area":[143],"distributed":[144],"across":[145],"2,727":[146],"traffic":[147],"analysis":[148],"zones.":[149],"Travel":[150],"times":[151],"mode":[153],"an":[155],"origin":[156],"zone":[157],"were":[158,182],"used":[159],"create":[161],"zonal":[163],"radius":[164],"around":[165],"origin,":[167],"greatly":[168],"reducing":[169],"number":[171],"for":[175],"individuals.":[176],"From":[177],"this":[178],"subset,":[179],"possibilities":[181],"then":[183],"further":[184],"stratified":[185],"criteria":[188],"age":[190],"industry.":[192],"added":[194],"constraint":[197],"reduces":[198],"possibility":[200],"being":[203],"assigned":[204],"impossible":[206],"where":[208],"random":[209],"used.":[212]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2017-08-17T00:00:00"}