{"id":"https://openalex.org/W4285359079","doi":"https://doi.org/10.46720/f2021-acm-122","title":"Objective Impact Evaluation of Predictive Eco-Driving Optimization Algorithm in Traffic Simulation Environment","display_name":"Objective Impact Evaluation of Predictive Eco-Driving Optimization Algorithm in Traffic Simulation Environment","publication_year":2021,"publication_date":"2021-09-30","ids":{"openalex":"https://openalex.org/W4285359079","doi":"https://doi.org/10.46720/f2021-acm-122"},"language":"en","primary_location":{"id":"doi:10.46720/f2021-acm-122","doi":"https://doi.org/10.46720/f2021-acm-122","is_oa":false,"landing_page_url":"https://doi.org/10.46720/f2021-acm-122","pdf_url":null,"source":{"id":"https://openalex.org/S4306498968","display_name":"FISITA World Congress","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":"FISITA World Congress 2021 - Technical Programme","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":null,"display_name":"Applus IDIADA, SPAIN","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Applus IDIADA, SPAIN","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020373891","display_name":"Marina Roche","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marina Roche Arroyos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004261208","display_name":"D\u00eddac Sabri\u00e0","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D\u00eddac Sabri\u00e0,","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Pablo Cano","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pablo Cano","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Daniel Ruiz","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel Ruiz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Applus IDIADA, ITALY","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Applus IDIADA, ITALY","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5054282732","display_name":"Marco Mammetti","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marco Mammetti","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2205,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52355694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.8330000042915344,"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"}},"topics":[{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.8330000042915344,"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/T10524","display_name":"Traffic control and management","score":0.1460999995470047,"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/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.006099999882280827,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/eco-driving","display_name":"eco-driving","score":0.9570000171661377},{"id":"https://openalex.org/keywords/eco-routing","display_name":"eco-routing","score":0.6399999856948853},{"id":"https://openalex.org/keywords/driver-behavior","display_name":"driver behavior","score":0.5609999895095825},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"energy consumption","score":0.6690000295639038},{"id":"https://openalex.org/keywords/co-simulation","display_name":"co-simulation","score":0.7630000114440918},{"id":"https://openalex.org/keywords/traffic-simulation","display_name":"traffic simulation","score":0.8550000190734863},{"id":"https://openalex.org/keywords/driver-model","display_name":"driver model","score":0.7059999704360962},{"id":"https://openalex.org/keywords/fuel-conservation","display_name":"fuel consumption reduction","score":0.5440000295639038},{"id":"https://openalex.org/keywords/emissions-reduction","display_name":"emission reduction","score":0.4580000042915344},{"id":"https://openalex.org/keywords/driver-in-the-loop","display_name":"driver-in-the-loop","score":0.6520000100135803},{"id":"https://openalex.org/keywords/driving-simulator","display_name":"driving simulator","score":0.8019999861717224},{"id":"https://openalex.org/keywords/vehicle-development-process","display_name":"vehicle development process","score":0.4909999966621399},{"id":"https://openalex.org/keywords/mobility-ecosystem","display_name":"mobility ecosystem","score":0.6299999952316284}],"concepts":[{"id":"https://openalex.org/C76047896","wikidata":"https://www.wikidata.org/wiki/Q1786258","display_name":"Powertrain","level":3,"score":0.5851691961288452},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5421513319015503},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.5269775390625},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5229933261871338},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.5149295926094055},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.5079804062843323},{"id":"https://openalex.org/C512993513","wikidata":"https://www.wikidata.org/wiki/Q1068107","display_name":"Chassis","level":2,"score":0.5029441714286804},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.49868106842041016},{"id":"https://openalex.org/C2780689630","wikidata":"https://www.wikidata.org/wiki/Q2081815","display_name":"Driving simulator","level":2,"score":0.46970245242118835},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.445210337638855},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2751382887363434},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0934630036354065},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C144171764","wikidata":"https://www.wikidata.org/wiki/Q48103","display_name":"Torque","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.46720/f2021-acm-122","doi":"https://doi.org/10.46720/f2021-acm-122","is_oa":false,"landing_page_url":"https://doi.org/10.46720/f2021-acm-122","pdf_url":null,"source":{"id":"https://openalex.org/S4306498968","display_name":"FISITA World Congress","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":"FISITA World Congress 2021 - Technical Programme","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.651199996471405,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"},{"score":0.47999998927116394,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"},{"score":0.46149998903274536,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W155680269","https://openalex.org/W2042768188","https://openalex.org/W4402433411","https://openalex.org/W2462731599","https://openalex.org/W3003591752","https://openalex.org/W2770175207","https://openalex.org/W2130128578","https://openalex.org/W2511777419","https://openalex.org/W2139102095","https://openalex.org/W3150415119"],"abstract_inverted_index":{"The":[0,26,92,250,284,357,384,432],"global":[1],"trend":[2,438],"to":[3,73,79,86,103,181,215,221,241,275,301,304,317,335,343,349,361,400,418,450],"minimize":[4],"emissions":[5],"and":[6,22,43,75,97,125,187,195,206,226,245,261,269,292,330,377,472],"fuel":[7],"consumption":[8,244],"is":[9,161,193,273,315,389],"pushing":[10],"towards":[11],"new":[12,437],"technologies":[13],"in":[14,66,84,333,391,403,423,455],"the":[15,56,59,67,77,107,111,126,129,135,138,143,148,158,197,200,216,233,254,267,277,281,290,297,305,311,320,328,337,363,370,375,378,381,395,420,424,436,448,456,465],"fields":[16],"of":[17,28,58,94,113,128,137,232,296,347,367,386,430,439,441],"optimal":[18],"powertrain":[19],"control,":[20],"electrification":[21],"road":[23,425],"load":[24],"reduction.":[25],"impact":[27,57,93,108,136,364,379,422],"technology":[29],"improvements":[30],"can":[31,169,324],"be":[32,119,171,302,325,398,401],"objectively":[33,105],"evaluated":[34,326,402],"by":[35,141,146,176,365,374],"current":[36,50],"test":[37,51],"standards":[38,52],"such":[39],"as":[40,106,121],"chassis":[41],"dyno":[42],"Real":[44],"Driving":[45,406],"Emission":[46],"(RDE)":[47],"tests.":[48],"However,":[49],"do":[53],"not":[54,155],"quantify":[55,104],"driver":[60,263],"behavior":[61],"which":[62,212],"has":[63],"strong":[64],"influence":[65],"driving":[68,82,99,130,177,210,322],"efficiency.":[69],"Eco-driving":[70],"algorithms":[71,96],"aim":[72],"encourage":[74],"train":[76],"drivers":[78,205],"embrace":[80],"cleaner":[81],"behaviors":[83],"order":[85,334],"acknowledge":[87],"this":[88,152,191,387],"efficiency":[89],"leverage":[90],"option.":[91],"these":[95],"good":[98],"practices":[100],"are":[101],"difficult":[102],"depends":[109],"on":[110,380],"interpretation":[112],"a":[114,122,164,236,246,262,345],"human":[115],"being":[116],"that":[117,157,265,299,319,435],"cannot":[118],"modelled":[120],"vehicle":[123,239,442,457],"component":[124],"randomness":[127,214],"environment.":[131,167,249],"Some":[132],"authors":[133],"calculate":[134,369,419],"eco-driving":[139,186,282,307,376],"advice":[140],"calculating":[142],"energy":[144,243],"savings":[145],"following":[147],"target":[149,159],"speed,":[150],"but":[151],"approach":[153],"does":[154],"verify":[156],"speed":[160,278],"feasible":[162],"with":[163,185,327,427,444],"realistic":[165],"surrounding":[166,198],"Quantification":[168],"also":[170,288,341,359,416],"performed":[172],"through":[173,230],"physical":[174,355],"testing":[175,340],"two":[178,201],"vehicles":[179,202],"close":[180],"each":[182],"other,":[183],"one":[184,188],"without.":[189],"Whereas":[190],"method":[192,229],"robust":[194],"involves":[196],"traffic,":[199],"have":[203],"different":[204,209,392,428],"encounter":[207],"slightly":[208],"conditions,":[211],"adds":[213],"evaluation.":[217],"This":[218,460],"paper":[219,433],"aims":[220],"propose":[222],"an":[223],"alternative":[224],"virtual":[225,412],"objective":[227],"validation":[228],"co-simulation":[231,358,440],"eco-routing":[234],"algorithm,":[235],"high":[237],"fidelity":[238],"model":[240,252,264,286],"evaluate":[242],"traffic":[247,251,258,285,293,312,445],"simulation":[248],"provides":[253],"environment":[255,268],"(surrounding":[256],"vehicles,":[257],"lights,":[259],"etc)":[260],"analyzes":[266],"decides":[270],"when":[271],"it":[272,314,414],"safe":[274],"follow":[276],"recommendation":[279],"from":[280,464],"algorithm.":[283],"will":[287],"generate":[289],"topographic":[291],"predictive":[294,306],"information":[295],"route":[298],"needs":[300],"feed":[303],"optimization":[308],"algorithms.":[309],"With":[310],"simulation,":[313],"possible":[316],"guarantee":[318],"same":[321],"condition":[323],"baseline":[329],"optimized":[331],"algorithm":[332],"avoid":[336],"randomness.":[338],"Virtual":[339],"permits":[342,360],"simulate":[344],"batch":[346],"cases":[348],"obtain":[350],"higher":[351],"numerical":[352],"representativeness":[353],"than":[354],"testing.":[356],"segment":[362],"type":[366],"route,":[368],"time":[371],"delay":[372],"caused":[373],"overall":[382],"traffic.":[383],"scalability":[385],"framework":[388],"promising":[390],"levels.":[393],"As":[394,408],"setup":[396],"could":[397],"used":[399],"Driver-in-the-Loop":[404],"or":[405],"Simulator.":[407],"well,":[409],"at":[410],"completely":[411],"level":[413],"would":[415],"permit":[417],"large-scale":[421],"net":[426],"levels":[429],"eco-driving.":[431],"demonstrates":[434],"models":[443,446],"leverages":[447],"possibility":[449],"include":[451],"mobility":[452],"ecosystem":[453],"implications":[454],"development":[458],"process.":[459],"project":[461],"received":[462],"funding":[463],"European":[466],"Union\u2019s":[467],"(EU)":[468],"Horizon":[469],"2020":[470],"Research":[471],"innovation":[473],"program":[474],"under":[475],"grant":[476],"agreement":[477],"N":[478],"769935.":[479]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2022-07-14T00:00:00"}