{"id":"https://openalex.org/W2728459954","doi":"https://doi.org/10.1109/tiv.2017.2723823","title":"Stochastic Forecasting of Vehicle Dynamics Using Sequential Monte Carlo Simulation","display_name":"Stochastic Forecasting of Vehicle Dynamics Using Sequential Monte Carlo Simulation","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2728459954","doi":"https://doi.org/10.1109/tiv.2017.2723823","mag":"2728459954"},"language":"en","primary_location":{"id":"doi:10.1109/tiv.2017.2723823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2017.2723823","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Vehicles","raw_type":"journal-article"},"type":"article","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/A5089234594","display_name":"Sebastian F\u00fcnfgeld","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sebastian Funfgeld","raw_affiliation_strings":["Dr. Ing. h.c. F. Porsche AG, Weissach, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dr. Ing. h.c. F. Porsche AG, Weissach, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089197220","display_name":"Marc Holz\u00e4pfel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marc Holzapfel","raw_affiliation_strings":["Dr. Ing. h.c. F. Porsche AG, Weissach, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dr. Ing. h.c. F. Porsche AG, Weissach, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052936510","display_name":"Michael Frey","orcid":"https://orcid.org/0000-0003-1452-1360"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Frey","raw_affiliation_strings":["Institute of Vehicle System Technology, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Vehicle System Technology, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085807914","display_name":"Frank Gauterin","orcid":"https://orcid.org/0000-0002-0870-7540"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frank Gauterin","raw_affiliation_strings":["Institute of Vehicle System Technology, Karlsruhe Institute of Technology, Karlsruhe, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Vehicle System Technology, Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":2.0721,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.87541683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9955999851226807,"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/T10117","display_name":"Advanced Combustion Engine Technologies","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1507","display_name":"Fluid Flow and Transfer Processes"},"field":{"id":"https://openalex.org/fields/15","display_name":"Chemical 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":0.6873137950897217},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5598068833351135},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4934479296207428},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.4896405339241028},{"id":"https://openalex.org/keywords/stochastic-modelling","display_name":"Stochastic modelling","score":0.4800616204738617},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.4765487313270569},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.4656670093536377},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.44951558113098145},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3877894878387451},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34237009286880493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2850150167942047},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1695529818534851},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1035999059677124}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6873137950897217},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5598068833351135},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4934479296207428},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.4896405339241028},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.4800616204738617},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.4765487313270569},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.4656670093536377},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.44951558113098145},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3877894878387451},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34237009286880493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2850150167942047},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1695529818534851},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1035999059677124},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tiv.2017.2723823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2017.2723823","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Vehicles","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W138027930","https://openalex.org/W1486034269","https://openalex.org/W1582388925","https://openalex.org/W1686266550","https://openalex.org/W1966163588","https://openalex.org/W1969196059","https://openalex.org/W1978496859","https://openalex.org/W1982013378","https://openalex.org/W1994051540","https://openalex.org/W2007597957","https://openalex.org/W2014414177","https://openalex.org/W2025720061","https://openalex.org/W2052834303","https://openalex.org/W2054161738","https://openalex.org/W2055936398","https://openalex.org/W2073680033","https://openalex.org/W2079150870","https://openalex.org/W2084008601","https://openalex.org/W2093135704","https://openalex.org/W2096886739","https://openalex.org/W2097545165","https://openalex.org/W2098883090","https://openalex.org/W2105594594","https://openalex.org/W2122773086","https://openalex.org/W2125344207","https://openalex.org/W2130715829","https://openalex.org/W2132395591","https://openalex.org/W2135137731","https://openalex.org/W2135647212","https://openalex.org/W2150323660","https://openalex.org/W2155513194","https://openalex.org/W2161758672","https://openalex.org/W2167300323","https://openalex.org/W2473723854","https://openalex.org/W2497501435","https://openalex.org/W4250389103","https://openalex.org/W6683501427"],"related_works":["https://openalex.org/W2982321410","https://openalex.org/W95465806","https://openalex.org/W2392004567","https://openalex.org/W2046296964","https://openalex.org/W2940029036","https://openalex.org/W4388292429","https://openalex.org/W2756595502","https://openalex.org/W2010789764","https://openalex.org/W2187233292","https://openalex.org/W128654086"],"abstract_inverted_index":{"Predictive":[0],"control":[1,28,142,146],"is":[2,92,102],"a":[3,43],"popular":[4],"approach":[5,78],"for":[6,94,160],"further":[7],"improving":[8],"the":[9,22,30,66,113,126,129,133,151],"efficiency":[10],"and":[11,51,86,99],"performance":[12,101],"of":[13,65,147,155,166,172],"vehicular":[14,148],"systems":[15,18],"enabling":[16,144],"intelligent":[17,145],"behavior":[19,85,131,165],"appropriate":[20],"to":[21,38,54],"driving":[23],"situation.":[24,134],"To":[25],"calculate":[26],"such":[27],"strategies,":[29],"future":[31,56,67],"vehicle":[32,57],"dynamics":[33,58],"or":[34,132,153,169],"subsequent":[35],"states":[36,68],"have":[37],"be":[39,138,158],"predicted.":[40],"We":[41],"introduce":[42],"stochastic":[44,52,80],"framework":[45,136,152],"based":[46],"on":[47],"an":[48],"explanatory":[49,114],"model":[50,115],"processes":[53],"predict":[55],"with":[59,140],"road":[60,88],"network":[61],"data.":[62,89],"The":[63,76,109,135],"distributions":[64],"are":[69],"approximated":[70],"using":[71,104],"sequential":[72],"Monte":[73],"Carlo":[74],"simulation.":[75],"proposed":[77],"enables":[79],"forecasts":[81],"incorporating":[82],"uncertain":[83],"driver":[84,173],"available":[87],"Parameter":[90],"inference":[91],"shown":[93],"exemplary":[95],"real-drive":[96],"test":[97],"data,":[98],"predictive":[100,141],"evaluated":[103],"commonly":[105],"used":[106],"reference":[107],"models.":[108],"results":[110],"show":[111],"that":[112],"provides":[116],"more":[117],"specific":[118],"information":[119],"than":[120],"time-series":[121],"models":[122],"do,":[123],"still":[124],"considering":[125],"uncertainty":[127],"in":[128],"driver's":[130],"can":[137],"applied":[139],"algorithms":[143],"systems.":[149],"Furthermore,":[150],"parts":[154],"it":[156],"may":[157],"usable":[159],"other":[161],"applications":[162],"like":[163],"predicting":[164],"traffic":[167],"participants":[168],"general":[170],"characterization":[171],"behavior.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}