{"id":"https://openalex.org/W4409156444","doi":"https://doi.org/10.1109/ieeeconf60004.2024.10942844","title":"Transportation Network Design Under Passenger Choice","display_name":"Transportation Network Design Under Passenger Choice","publication_year":2024,"publication_date":"2024-10-27","ids":{"openalex":"https://openalex.org/W4409156444","doi":"https://doi.org/10.1109/ieeeconf60004.2024.10942844"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf60004.2024.10942844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf60004.2024.10942844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 58th Asilomar Conference on Signals, Systems, and Computers","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/A5028236116","display_name":"Pushpendra Singh","orcid":"https://orcid.org/0000-0002-7277-115X"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pushpendra Singh","raw_affiliation_strings":["Thayer School of Engineering at Dartmouth,United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thayer School of Engineering at Dartmouth,United States","institution_ids":["https://openalex.org/I107672454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099241627","display_name":"Fernando Real-Rojas","orcid":null},"institutions":[{"id":"https://openalex.org/I182083151","display_name":"Universidad Rey Juan Carlos","ror":"https://ror.org/01v5cv687","country_code":"ES","type":"education","lineage":["https://openalex.org/I182083151"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Fernando Real-Rojas","raw_affiliation_strings":["King Juan Carlos University,Madrid,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Juan Carlos University,Madrid,Spain","institution_ids":["https://openalex.org/I182083151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025430868","display_name":"Vikrant Vaze","orcid":"https://orcid.org/0000-0002-8142-2461"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vikrant Vaze","raw_affiliation_strings":["Thayer School of Engineering at Dartmouth,United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thayer School of Engineering at Dartmouth,United States","institution_ids":["https://openalex.org/I107672454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075337854","display_name":"V\u00edctor M. Tenorio","orcid":"https://orcid.org/0000-0002-0079-7326"},"institutions":[{"id":"https://openalex.org/I182083151","display_name":"Universidad Rey Juan Carlos","ror":"https://ror.org/01v5cv687","country_code":"ES","type":"education","lineage":["https://openalex.org/I182083151"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Victor M. Tenorio","raw_affiliation_strings":["King Juan Carlos University,Madrid,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Juan Carlos University,Madrid,Spain","institution_ids":["https://openalex.org/I182083151"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":0.49860946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"178","last_page":"182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9894000291824341,"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":0.9894000291824341,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T12306","display_name":"Urban and Freight Transport Logistics","score":0.9365000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5456706285476685},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.5306942462921143},{"id":"https://openalex.org/keywords/passenger-transport","display_name":"Passenger transport","score":0.4489636719226837},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20543083548545837}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5456706285476685},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5306942462921143},{"id":"https://openalex.org/C3018364605","wikidata":"https://www.wikidata.org/wiki/Q7590","display_name":"Passenger transport","level":2,"score":0.4489636719226837},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20543083548545837}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf60004.2024.10942844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf60004.2024.10942844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 58th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1515773341","https://openalex.org/W1981073646","https://openalex.org/W2020352562","https://openalex.org/W2038079205","https://openalex.org/W2051269020","https://openalex.org/W2105089563","https://openalex.org/W2169440812","https://openalex.org/W2171985270","https://openalex.org/W2210084516","https://openalex.org/W2235687094","https://openalex.org/W2793870342","https://openalex.org/W2804379700","https://openalex.org/W2900688364","https://openalex.org/W2951396542","https://openalex.org/W3168487990","https://openalex.org/W3186917842","https://openalex.org/W4206091733","https://openalex.org/W4296712539","https://openalex.org/W4298005433","https://openalex.org/W4406762013"],"related_works":["https://openalex.org/W2370869448","https://openalex.org/W2382734339","https://openalex.org/W2356453513","https://openalex.org/W3033760243","https://openalex.org/W612828922","https://openalex.org/W2359209454","https://openalex.org/W2362891875","https://openalex.org/W2378892446","https://openalex.org/W3013487360","https://openalex.org/W3080513866"],"abstract_inverted_index":{"The":[0],"transportation":[1,155],"network":[2,40,69,156],"design":[3,41,157],"problem":[4,185],"has":[5],"been":[6],"extensively":[7],"studied":[8],"in":[9,24,170,178],"the":[10,39,52,79,147,151],"literature,":[11],"with":[12,110],"most":[13],"prior":[14],"research":[15],"assuming":[16],"that":[17,76,124],"passenger":[18],"demand":[19,27],"is":[20,28,35],"exogenously":[21],"determined.":[22],"However,":[23],"practical":[25],"scenarios,":[26],"inherently":[29],"influenced":[30],"by":[31,38,72],"service":[32],"quality,":[33],"which":[34],"significantly":[36],"shaped":[37],"itself.":[42],"Accounting":[43],"for":[44,68,90,133,143,183],"this":[45,55,82,91],"endogenous":[46],"relationship":[47],"introduces":[48],"substantial":[49],"complexity":[50],"to":[51],"problem.":[53],"In":[54],"work,":[56],"we":[57,122],"introduce":[58],"a":[59,86,106],"practically":[60],"relevant":[61],"class":[62,92],"of":[63,81,93,150,154,167,180],"mixed-integer":[64],"non-convex":[65],"optimization":[66],"problems":[67,94],"design,":[70],"unified":[71],"shared":[73],"mathematical":[74],"properties":[75],"serve":[77],"as":[78],"foundation":[80],"study.":[83],"We":[84],"present":[85],"general":[87],"compact":[88],"formulation":[89],"and":[95,105,119,174],"evaluate":[96],"three":[97,126],"solution":[98],"approaches:":[99],"Adaptive":[100],"Discretization,":[101],"Exponential":[102],"Cone":[103],"Programming,":[104],"convex":[107,138],"reformulation":[108,140],"augmented":[109],"sparsity.":[111],"Through":[112],"extensive":[113],"computational":[114,181],"experiments":[115],"on":[116],"both":[117],"simulated":[118],"real-world":[120],"networks,":[121],"demonstrate":[123],"all":[125,171],"methods":[127,177],"achieve":[128],"optimal":[129],"or":[130],"near-optimal":[131],"solutions":[132,162],"small-scale":[134],"problems.":[135,158],"Among":[136],"these,":[137],"sparsity-based":[139],"stands":[141],"out":[142],"its":[144],"scalability,":[145],"exploiting":[146],"sparse":[148],"structure":[149],"matrices":[152],"characteristic":[153],"This":[159],"approach":[160],"delivers":[161],"within":[163],"an":[164],"optimality":[165],"gap":[166],"5":[168],"%":[169],"instances":[172],"tested":[173],"outperforms":[175],"other":[176],"terms":[179],"efficiency":[182],"larger":[184],"sizes.":[186]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
