{"id":"https://openalex.org/W4312205954","doi":"https://doi.org/10.48550/arxiv.2212.12008","title":"A Novel Method for Lane-change Maneuver in Urban Driving Using Predictive Markov Decision Process","display_name":"A Novel Method for Lane-change Maneuver in Urban Driving Using Predictive Markov Decision Process","publication_year":2022,"publication_date":"2022-12-22","ids":{"openalex":"https://openalex.org/W4312205954","doi":"https://doi.org/10.48550/arxiv.2212.12008"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2212.12008","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2212.12008","pdf_url":"https://arxiv.org/pdf/2212.12008","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2212.12008","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080408640","display_name":"A. V. Prabu","orcid":"https://orcid.org/0000-0002-0423-3405"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Prabu, Avinash","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085177380","display_name":"Niranjan Ravi","orcid":"https://orcid.org/0000-0002-3417-6288"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ravi, Niranjan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101586017","display_name":"Lingxi Li","orcid":"https://orcid.org/0000-0002-5192-492X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Lingxi","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080408640"],"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9932000041007996,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9932000041007996,"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":0.9800999760627747,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9562000036239624,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crash","display_name":"Crash","score":0.6862794756889343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6375201940536499},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5747339725494385},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5607885122299194},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.5382219552993774},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5260609984397888},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.5194079875946045},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.49971604347229004},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.4430009722709656},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4272473454475403},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4082728624343872},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22418183088302612},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1957179307937622},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08449694514274597},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.071419358253479}],"concepts":[{"id":"https://openalex.org/C183469790","wikidata":"https://www.wikidata.org/wiki/Q333501","display_name":"Crash","level":2,"score":0.6862794756889343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6375201940536499},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5747339725494385},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5607885122299194},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.5382219552993774},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5260609984397888},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.5194079875946045},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.49971604347229004},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.4430009722709656},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4272473454475403},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4082728624343872},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22418183088302612},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1957179307937622},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08449694514274597},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.071419358253479},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2212.12008","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2212.12008","pdf_url":"https://arxiv.org/pdf/2212.12008","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2212.12008","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2212.12008","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2212.12008","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2212.12008","pdf_url":"https://arxiv.org/pdf/2212.12008","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.800000011920929,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W187740018","https://openalex.org/W2162286586","https://openalex.org/W4255368532","https://openalex.org/W3126873283","https://openalex.org/W4376457996","https://openalex.org/W2393621008","https://openalex.org/W4317465184","https://openalex.org/W2540690809","https://openalex.org/W2995598024","https://openalex.org/W2353273130"],"abstract_inverted_index":{"Lane-change":[0],"maneuver":[1,77],"has":[2],"always":[3],"been":[4],"a":[5,70],"challenging":[6],"task":[7],"for":[8,75,88],"both":[9],"manual":[10],"and":[11,46,63,101,112],"autonomous":[12],"driving,":[13],"especially":[14],"in":[15,23,43,78],"an":[16],"urban":[17,80],"setting.":[18,81],"In":[19],"particular,":[20],"the":[21,25,31,53,79,98,102,105,122,125],"uncertainty":[22,57],"predicting":[24],"behavior":[26],"of":[27,91,114,124],"other":[28],"vehicles":[29],"on":[30],"road":[32],"leads":[33],"to":[34,56,68,104,120],"indecisive":[35],"actions":[36],"while":[37],"changing":[38],"lanes,":[39],"which,":[40],"might":[41],"result":[42],"traffic":[44,116],"congestion":[45],"cause":[47],"safety":[48],"concerns.":[49],"This":[50],"paper":[51],"analyzes":[52],"factors":[54],"related":[55],"such":[58],"as":[59,67,107],"speed":[60],"range":[61],"change":[62,65],"lane":[64],"so":[66],"design":[69],"predictive":[71],"Markov":[72,84],"decision":[73],"process":[74],"lane-change":[76],"A":[82],"hidden":[83],"model":[85,96],"is":[86],"developed":[87],"modeling":[89],"uncertainties":[90],"surrounding":[92],"vehicles.":[93],"The":[94],"reward":[95],"uses":[97],"crash":[99],"probabilities":[100],"feasibility/distance":[103],"goal":[106],"primary":[108],"parameters.":[109],"Numerical":[110],"simulation":[111],"analysis":[113],"two":[115],"scenarios":[117],"are":[118],"completed":[119],"demonstrate":[121],"effectiveness":[123],"proposed":[126],"approach.":[127]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2023-01-04T00:00:00"}