{"id":"https://openalex.org/W7134945821","doi":"https://doi.org/10.48550/arxiv.2603.09073","title":"High-Slip-Ratio Control for Peak Tire-Road Friction Estimation Using Automated Vehicles","display_name":"High-Slip-Ratio Control for Peak Tire-Road Friction Estimation Using Automated Vehicles","publication_year":2026,"publication_date":"2026-03-10","ids":{"openalex":"https://openalex.org/W7134945821","doi":"https://doi.org/10.48550/arxiv.2603.09073"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.09073","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09073","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.09073","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123498892","display_name":"Zhaohui Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Zhaohui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128764146","display_name":"Hang Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Hang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128766687","display_name":"Heye Huanh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huanh, Heye","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128714337","display_name":"Xiaopeng Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xiaopeng","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":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9952999949455261,"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/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9952999949455261,"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/T10690","display_name":"Vibration Control and Rheological Fluids","score":0.0007999999797903001,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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":0.0006000000284984708,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/observability","display_name":"Observability","score":0.6241999864578247},{"id":"https://openalex.org/keywords/slip","display_name":"Slip (aerodynamics)","score":0.5777000188827515},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5738999843597412},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5371999740600586},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5066999793052673},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.4754999876022339},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.46939998865127563},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4375},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.37279999256134033}],"concepts":[{"id":"https://openalex.org/C36299963","wikidata":"https://www.wikidata.org/wiki/Q1369844","display_name":"Observability","level":2,"score":0.6241999864578247},{"id":"https://openalex.org/C195268267","wikidata":"https://www.wikidata.org/wiki/Q1928883","display_name":"Slip (aerodynamics)","level":2,"score":0.5777000188827515},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5738999843597412},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5371999740600586},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.527999997138977},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5066999793052673},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.4754999876022339},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.46939998865127563},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4375},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.37279999256134033},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.35040000081062317},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.34929999709129333},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3287999927997589},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.31290000677108765},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.29739999771118164},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.289900004863739},{"id":"https://openalex.org/C198046988","wikidata":"https://www.wikidata.org/wiki/Q1413792","display_name":"Slip angle","level":3,"score":0.288100004196167},{"id":"https://openalex.org/C2984755018","wikidata":"https://www.wikidata.org/wiki/Q17118374","display_name":"Nonlinear model","level":3,"score":0.2766000032424927},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C65557600","wikidata":"https://www.wikidata.org/wiki/Q7249451","display_name":"Projection method","level":3,"score":0.25940001010894775},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.2581000030040741},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C2989152160","wikidata":"https://www.wikidata.org/wiki/Q82580","display_name":"Friction coefficient","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.09073","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09073","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.09073","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.09073","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5611701607704163}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"estimation":[1],"of":[2,53],"the":[3,43,54,72],"tire-road":[4],"friction":[5,74,167],"coefficient":[6],"(TRFC)":[7],"is":[8,89,97,134,148],"critical":[9],"for":[10,163],"ensuring":[11],"safe":[12,106],"vehicle":[13],"control,":[14],"especially":[15],"under":[16,35,141],"adverse":[17],"road":[18],"conditions.":[19],"However,":[20],"most":[21],"existing":[22],"methods":[23],"rely":[24],"on":[25],"naturalistic":[26],"driving":[27],"data":[28,44],"from":[29],"regular":[30],"vehicles,":[31],"which":[32],"typically":[33],"operate":[34],"mild":[36],"acceleration":[37],"and":[38,49,96,124,143,154,161],"braking.":[39],"As":[40],"a":[41,60,113,129],"result,":[42],"provide":[45],"insufficient":[46],"slip":[47,120],"excitation":[48],"offer":[50],"limited":[51],"observability":[52],"peak":[55,73,139],"TRFC.":[56],"This":[57],"paper":[58],"presents":[59],"high-slip-ratio":[61],"control":[62,116],"framework":[63,147],"that":[64,118],"enables":[65],"automated":[66],"vehicles":[67],"(AVs)":[68],"to":[69,91,136],"actively":[70],"excite":[71],"region":[75],"during":[76],"empty-haul":[77],"operations":[78],"while":[79],"maintaining":[80],"operational":[81],"safety.":[82],"A":[83],"simplified":[84],"Magic":[85],"Formula":[86],"tire":[87],"model":[88],"adopted":[90],"represent":[92],"nonlinear":[93],"slip-force":[94],"dynamics":[95],"locally":[98],"fitted":[99],"using":[100],"repeated":[101],"high-slip":[102],"measurements.":[103],"To":[104],"support":[105],"execution":[107],"in":[108],"car-following":[109],"scenarios,":[110],"we":[111],"formulate":[112],"constrained":[114],"optimal":[115],"strategy":[117],"balances":[119],"excitation,":[121],"trajectory":[122],"tracking,":[123],"collision":[125],"avoidance.":[126],"In":[127],"parallel,":[128],"binning-based":[130],"statistical":[131],"projection":[132],"method":[133],"introduced":[135],"robustly":[137],"estimate":[138],"TRFC":[140],"noise":[142],"local":[144],"sparsity.":[145],"The":[146],"validated":[149],"through":[150],"both":[151],"closed-loop":[152],"simulations":[153],"real-vehicle":[155],"experiments,":[156],"demonstrating":[157],"its":[158],"accuracy,":[159],"safety,":[160],"feasibility":[162],"scalable,":[164],"cost-effective":[165],"roadway":[166],"screening.":[168]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-12T00:00:00"}
