{"id":"https://openalex.org/W2181492511","doi":"https://doi.org/10.1109/icmlc.2015.7340622","title":"Multi-plan for optimal mix of travel routes","display_name":"Multi-plan for optimal mix of travel routes","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2181492511","doi":"https://doi.org/10.1109/icmlc.2015.7340622","mag":"2181492511"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2015.7340622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5013318460","display_name":"Xufeng Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu-Feng Shang","raw_affiliation_strings":["School of Science, China Jiliang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Science, China Jiliang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5013318460"],"corresponding_institution_ids":["https://openalex.org/I55538621"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10084419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":null,"first_page":"595","last_page":"598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T12546","display_name":"Smart Parking Systems Research","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10298","display_name":"Urban Transport and Accessibility","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trips-architecture","display_name":"TRIPS architecture","score":0.6293250918388367},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.6243829727172852},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6150788068771362},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5556012392044067},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.47963863611221313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39584851264953613},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3386860489845276},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.2580392360687256},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.22713401913642883},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.21023517847061157},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20341578125953674},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16729503870010376}],"concepts":[{"id":"https://openalex.org/C157085824","wikidata":"https://www.wikidata.org/wiki/Q2384809","display_name":"TRIPS architecture","level":2,"score":0.6293250918388367},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.6243829727172852},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6150788068771362},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5556012392044067},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.47963863611221313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39584851264953613},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3386860489845276},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2580392360687256},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.22713401913642883},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.21023517847061157},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20341578125953674},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16729503870010376},{"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2015.7340622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2044509949","https://openalex.org/W2102419387"],"related_works":["https://openalex.org/W2807758032","https://openalex.org/W2152103536","https://openalex.org/W2065128788","https://openalex.org/W2903899051","https://openalex.org/W4246856022","https://openalex.org/W2147193423","https://openalex.org/W2367877056","https://openalex.org/W1987783546","https://openalex.org/W2025955409","https://openalex.org/W1577301438"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"three":[3,80,148],"different":[4,47],"plans":[5],"are":[6,51,60,82,95],"proposed":[7],"to":[8,24],"solve":[9],"the":[10,15,26,30,35,41,44,64,67,79,113,121,131,134,138,147],"rafting":[11],"scheduling":[12],"problem":[13],"of":[14,29,46,78,93,124,133,140,146],"Big":[16],"Long":[17],"River.":[18],"The":[19,75,88,101],"best":[20],"schedule":[21],"is":[22,56,72],"developed":[23],"maximize":[25],"carrying":[27,76,144],"capacity":[28],"river.":[31],"We":[32,127],"also":[33],"consider":[34],"minimal":[36,102],"contact":[37,103],"among":[38],"boats":[39,142],"on":[40],"river":[42,65],"and":[43,53,66,85,98,137],"mixture":[45],"trips.":[48],"Three":[49],"models":[50,81],"presented":[52],"compared.":[54],"It":[55],"assumed":[57],"that":[58],"there":[59],"100":[61],"campsites":[62,94,135],"along":[63],"maximum":[68],"daily":[69,90],"raft":[70],"time":[71],"8":[73],"hours.":[74],"capacities":[77,145],"1,628,":[83],"1,520":[84],"2,160,":[86],"respectively.":[87,100],"average":[89],"utilization":[91],"frequencies":[92],"0.9598,":[96],"0.8967":[97],"0.98,":[99],"can":[104],"be":[105],"achieved":[106],"in":[107],"Plan":[108,110],"I.":[109],"II":[111],"has":[112],"worst":[114],"wildness":[115],"experience":[116],"but":[117],"provides":[118],"visitors":[119],"with":[120],"richest":[122],"choices":[123],"travel":[125],"routes.":[126],"further":[128],"study":[129],"how":[130],"fluctuation":[132],"number":[136],"percentage":[139],"motorized":[141],"influence":[143],"plans.":[149]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}