{"id":"https://openalex.org/W2170594845","doi":"https://doi.org/10.1109/itsc.2008.4732637","title":"Nonlinear Analysis of Individual Vehicle Behavior in Car Following","display_name":"Nonlinear Analysis of Individual Vehicle Behavior in Car Following","publication_year":2008,"publication_date":"2008-10-01","ids":{"openalex":"https://openalex.org/W2170594845","doi":"https://doi.org/10.1109/itsc.2008.4732637","mag":"2170594845"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2008.4732637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2008.4732637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 11th International IEEE Conference on Intelligent Transportation Systems","raw_type":"proceedings-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/A5025153128","display_name":"Lanjun Wang","orcid":"https://orcid.org/0000-0002-7696-5330"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lanjun Wang","raw_affiliation_strings":["Intelligent Transportation Information Systems Laboratory, Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Transportation Information Systems Laboratory, Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059675915","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0003-1734-6051"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["Intelligent Transportation Information Systems Laboratory, Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Transportation Information Systems Laboratory, Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102879805","display_name":"Huadong Meng","orcid":"https://orcid.org/0000-0001-7422-9535"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huadong Meng","raw_affiliation_strings":["Intelligent Transportation Information Systems Laboratory, Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Transportation Information Systems Laboratory, Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003384431","display_name":"Xiqin Wang","orcid":"https://orcid.org/0000-0002-6980-0466"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiqin Wang","raw_affiliation_strings":["Intelligent Transportation Information Systems Laboratory, Department of Electronic Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Transportation Information Systems Laboratory, Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025153128"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.2808,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62936364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"87","issue":null,"first_page":"265","last_page":"268"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10244","display_name":"Chaos control and synchronization","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11513","display_name":"stochastic dynamics and bifurcation","score":0.9544000029563904,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lyapunov-exponent","display_name":"Lyapunov exponent","score":0.8313230276107788},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.7602406740188599},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.7385733127593994},{"id":"https://openalex.org/keywords/correlation-dimension","display_name":"Correlation dimension","score":0.5807312726974487},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5719279646873474},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.49833083152770996},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.44980019330978394},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4447607100009918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4346717298030853},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4277305006980896},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.42592889070510864},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.36911964416503906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3422850966453552},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.21858954429626465},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13729903101921082},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12903261184692383},{"id":"https://openalex.org/keywords/fractal-dimension","display_name":"Fractal dimension","score":0.11058762669563293},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.08992427587509155},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07139626145362854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.06226786971092224},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.0620177686214447}],"concepts":[{"id":"https://openalex.org/C191544260","wikidata":"https://www.wikidata.org/wiki/Q1238630","display_name":"Lyapunov exponent","level":3,"score":0.8313230276107788},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.7602406740188599},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.7385733127593994},{"id":"https://openalex.org/C110601934","wikidata":"https://www.wikidata.org/wiki/Q5172849","display_name":"Correlation dimension","level":4,"score":0.5807312726974487},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5719279646873474},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.49833083152770996},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.44980019330978394},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4447607100009918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4346717298030853},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4277305006980896},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.42592889070510864},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.36911964416503906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3422850966453552},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.21858954429626465},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13729903101921082},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12903261184692383},{"id":"https://openalex.org/C26546657","wikidata":"https://www.wikidata.org/wiki/Q1412452","display_name":"Fractal dimension","level":3,"score":0.11058762669563293},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.08992427587509155},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07139626145362854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.06226786971092224},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0620177686214447},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2008.4732637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2008.4732637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 11th International IEEE Conference on Intelligent Transportation Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W561504595","https://openalex.org/W613224089","https://openalex.org/W1517729176","https://openalex.org/W1532679390","https://openalex.org/W1966475901","https://openalex.org/W1970097032","https://openalex.org/W1979957032","https://openalex.org/W2025871540","https://openalex.org/W2027017131","https://openalex.org/W2031365860","https://openalex.org/W2040704490","https://openalex.org/W2044257293","https://openalex.org/W2045074884","https://openalex.org/W2056651346","https://openalex.org/W2104239617","https://openalex.org/W2108771950","https://openalex.org/W2124428761","https://openalex.org/W2130422062","https://openalex.org/W3104166645","https://openalex.org/W6615626265"],"related_works":["https://openalex.org/W2187399829","https://openalex.org/W1972922334","https://openalex.org/W2106857803","https://openalex.org/W2364951437","https://openalex.org/W2200598598","https://openalex.org/W2002791315","https://openalex.org/W2368906896","https://openalex.org/W2381206015","https://openalex.org/W2375956839","https://openalex.org/W2038249874"],"abstract_inverted_index":{"It":[0],"is":[1,91],"well":[2],"known":[3],"that":[4],"traffic":[5,21,80,85],"systems":[6],"are":[7,71],"highly":[8],"nonlinear.":[9],"Previous":[10],"research":[11],"has":[12,32],"shown":[13],"the":[14,17,25,49,77],"existence":[15],"of":[16,42,54,68,79,84,96],"chaotic":[18,50,97],"behavior":[19,31,57,90],"in":[20,28,58],"flow":[22,86],"data.":[23],"However,":[24],"corresponding":[26],"result":[27],"individual":[29,55,88],"vehicle":[30,56,89],"not":[33],"been":[34],"investigated.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39],"use":[40],"tools":[41],"nonlinear":[43],"time":[44],"series":[45],"analysis":[46],"to":[47],"explore":[48],"characteristic":[51],"from":[52,94],"data":[53,70],"car":[59],"following.":[60],"The":[61,82],"maximal":[62],"Lyapunov":[63],"exponent":[64],"and":[65,74,87],"correlation":[66],"dimension":[67],"these":[69],"calculated":[72],"numerically":[73],"compared":[75],"with":[76],"results":[78],"volume.":[81],"consistency":[83],"illustrated":[92],"clearly":[93],"viewpoints":[95],"analysis.":[98]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}