{"id":"https://openalex.org/W4393035606","doi":"https://doi.org/10.1109/seeda-cecnsm61561.2023.10470541","title":"Area Allocation for Electric Vehicle Coverage Path Planning","display_name":"Area Allocation for Electric Vehicle Coverage Path Planning","publication_year":2023,"publication_date":"2023-11-10","ids":{"openalex":"https://openalex.org/W4393035606","doi":"https://doi.org/10.1109/seeda-cecnsm61561.2023.10470541"},"language":"en","primary_location":{"id":"doi:10.1109/seeda-cecnsm61561.2023.10470541","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/seeda-cecnsm61561.2023.10470541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)","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/A5037838850","display_name":"Nikolaos Baras","orcid":"https://orcid.org/0000-0002-1437-1326"},"institutions":[{"id":"https://openalex.org/I89506807","display_name":"University of Western Macedonia","ror":"https://ror.org/00a5pe906","country_code":"GR","type":"education","lineage":["https://openalex.org/I89506807"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Nikolaos Baras","raw_affiliation_strings":["University of Western Macedonia,Department of Electrical and Computer Engineering,Kozani,Greece,50100"],"affiliations":[{"raw_affiliation_string":"University of Western Macedonia,Department of Electrical and Computer Engineering,Kozani,Greece,50100","institution_ids":["https://openalex.org/I89506807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057758214","display_name":"Antonios Chatzisavvas","orcid":"https://orcid.org/0000-0002-9826-6944"},"institutions":[{"id":"https://openalex.org/I89506807","display_name":"University of Western Macedonia","ror":"https://ror.org/00a5pe906","country_code":"GR","type":"education","lineage":["https://openalex.org/I89506807"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Antonios Chatzisavvas","raw_affiliation_strings":["University of Western Macedonia,Department of Electrical and Computer Engineering,Kozani,Greece,50100"],"affiliations":[{"raw_affiliation_string":"University of Western Macedonia,Department of Electrical and Computer Engineering,Kozani,Greece,50100","institution_ids":["https://openalex.org/I89506807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035052470","display_name":"Dimitris Ziouzios","orcid":"https://orcid.org/0000-0002-7607-0131"},"institutions":[{"id":"https://openalex.org/I89506807","display_name":"University of Western Macedonia","ror":"https://ror.org/00a5pe906","country_code":"GR","type":"education","lineage":["https://openalex.org/I89506807"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitris Ziouzios","raw_affiliation_strings":["University of Western Macedonia,Department of Electrical and Computer Engineering,Kozani,Greece,50100"],"affiliations":[{"raw_affiliation_string":"University of Western Macedonia,Department of Electrical and Computer Engineering,Kozani,Greece,50100","institution_ids":["https://openalex.org/I89506807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094209821","display_name":"Ioannis Vanidis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ioannis Vanidis","raw_affiliation_strings":["Siatista Kozanis,50300"],"affiliations":[{"raw_affiliation_string":"Siatista Kozanis,50300","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006781417","display_name":"Minas Dasygenis","orcid":"https://orcid.org/0000-0002-2180-9752"},"institutions":[{"id":"https://openalex.org/I89506807","display_name":"University of Western Macedonia","ror":"https://ror.org/00a5pe906","country_code":"GR","type":"education","lineage":["https://openalex.org/I89506807"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Minas Dasygenis","raw_affiliation_strings":["University of Western Macedonia,Department of Electrical and Computer Engineering,Kozani,Greece,50100"],"affiliations":[{"raw_affiliation_string":"University of Western Macedonia,Department of Electrical and Computer Engineering,Kozani,Greece,50100","institution_ids":["https://openalex.org/I89506807"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037838850"],"corresponding_institution_ids":["https://openalex.org/I89506807"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21361823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9745000004768372,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/computer-science","display_name":"Computer science","score":0.6316806077957153},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.5418532490730286},{"id":"https://openalex.org/keywords/electric-vehicle","display_name":"Electric vehicle","score":0.5091220736503601},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4864475429058075},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2873518764972687},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.10690078139305115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10210394859313965}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6316806077957153},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5418532490730286},{"id":"https://openalex.org/C2776422217","wikidata":"https://www.wikidata.org/wiki/Q13629441","display_name":"Electric vehicle","level":3,"score":0.5091220736503601},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4864475429058075},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2873518764972687},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.10690078139305115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10210394859313965},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/seeda-cecnsm61561.2023.10470541","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/seeda-cecnsm61561.2023.10470541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W140238390","https://openalex.org/W200058615","https://openalex.org/W1873425142","https://openalex.org/W2051224630","https://openalex.org/W2070665593","https://openalex.org/W2165232124","https://openalex.org/W2174644224","https://openalex.org/W2888648656","https://openalex.org/W2910278569","https://openalex.org/W2956901944","https://openalex.org/W2958363987","https://openalex.org/W3118910619","https://openalex.org/W3121222079","https://openalex.org/W3186615143","https://openalex.org/W3199761691","https://openalex.org/W3206197245"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2359600231","https://openalex.org/W2380019117","https://openalex.org/W3138952546","https://openalex.org/W1987886368","https://openalex.org/W1660309994","https://openalex.org/W2369187583","https://openalex.org/W3197207153","https://openalex.org/W3154539612"],"abstract_inverted_index":{"Coverage":[0],"path":[1,120],"planning":[2],"(CPP)":[3],"plays":[4],"a":[5,25,32,44,75,85,169],"pivotal":[6],"role":[7],"in":[8,35,50,177],"several":[9],"application":[10],"domains,":[11],"such":[12],"as":[13],"agriculture,":[14],"robotics,":[15],"and":[16,84,119,150,181],"surveillance.":[17],"At":[18],"its":[19,97,148,161],"core,":[20],"CPP":[21,51,173],"aims":[22],"to":[23,79,92,108,156,160],"identify":[24],"route":[26,87],"that":[27,143],"ensures":[28],"complete":[29],"coverage":[30,95],"of":[31,39,81,96,103,124,153,172],"specified":[33],"area":[34,67,174],"the":[36,61,65,104,125,144,157,163],"least":[37],"amount":[38],"time.":[40],"This":[41],"study":[42],"introduces":[43],"novel":[45],"method":[46,106],"for":[47,90],"spatial":[48],"allocation":[49],"by":[52],"leveraging":[53],"affinity":[54],"propagation":[55],"clustering":[56],"(APC).":[57],"By":[58],"employing":[59],"APC,":[60],"proposed":[62,105,145],"technique":[63],"groups":[64],"target":[66],"into":[68],"clusters":[69],"based":[70],"on":[71],"shared":[72],"attributes.":[73],"Subsequently,":[74],"robot":[76],"is":[77,88,107,127,134],"designated":[78],"each":[80,91],"these":[82],"clusters,":[83],"unique":[86],"charted":[89],"ensure":[93],"comprehensive":[94],"assigned":[98],"region.":[99],"The":[100,122,140],"primary":[101],"objective":[102],"enhance":[109],"cluster":[110],"distribution":[111],"among":[112],"robots,":[113],"thus":[114],"minimizing":[115],"both":[116],"communication":[117],"overhead":[118],"length.":[121],"efficacy":[123],"approach":[126,165],"evaluated":[128],"through":[129],"simulation":[130],"experiments,":[131],"where":[132],"it":[133],"benchmarked":[135],"against":[136],"other":[137],"prevailing":[138],"methods.":[139],"results":[141],"indicate":[142],"methodology":[146],"surpasses":[147],"counterparts":[149],"yields":[151],"sub-areas":[152],"higher":[154],"quality":[155],"robots.":[158],"Due":[159],"effectiveness,":[162],"suggested":[164],"may":[166],"effectively":[167],"handle":[168],"wide":[170],"range":[171],"division":[175],"problems":[176],"various":[178],"environment":[179],"designs":[180],"sizes.":[182]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
