{"id":"https://openalex.org/W3187285295","doi":"https://doi.org/10.1109/iwcmc51323.2021.9498768","title":"Optimal Decision-making Method of Transportation Route Based on Information Gain","display_name":"Optimal Decision-making Method of Transportation Route Based on Information Gain","publication_year":2021,"publication_date":"2021-06-28","ids":{"openalex":"https://openalex.org/W3187285295","doi":"https://doi.org/10.1109/iwcmc51323.2021.9498768","mag":"3187285295"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc51323.2021.9498768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc51323.2021.9498768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5108749595","display_name":"Tongfei Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongfei Shang","raw_affiliation_strings":["College of Information and Communication National University of Defense Technology, Xi\u2019 an, China","College of Information and Communication National University of Defense Technology, Xi' an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Communication National University of Defense Technology, Xi\u2019 an, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Information and Communication National University of Defense Technology, Xi' an, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060972658","display_name":"Liang Zheng","orcid":"https://orcid.org/0000-0002-4161-9630"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Liang","raw_affiliation_strings":["College of Information and Communication National University of Defense Technology, Xi\u2019 an, China","College of Information and Communication National University of Defense Technology, Xi' an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Communication National University of Defense Technology, Xi\u2019 an, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Information and Communication National University of Defense Technology, Xi' an, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040717105","display_name":"Jingwei Yang","orcid":"https://orcid.org/0000-0001-8895-4682"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingwei Yang","raw_affiliation_strings":["78111 Troops, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"78111 Troops, Chengdu, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100562751","display_name":"Jiaqing Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiaqing Zhao","raw_affiliation_strings":["32072 Troops, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"32072 Troops, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13084937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"523","last_page":"526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13905","display_name":"Telecommunications and Broadcasting Technologies","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9638000130653381,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.6322515606880188},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6187417507171631},{"id":"https://openalex.org/keywords/dangerous-goods","display_name":"Dangerous goods","score":0.6000038981437683},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.5187011957168579},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.466152548789978},{"id":"https://openalex.org/keywords/information-gain","display_name":"Information gain","score":0.43131375312805176},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3894798755645752},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.24600917100906372},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19995194673538208},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.09495532512664795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08408716320991516}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6322515606880188},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6187417507171631},{"id":"https://openalex.org/C2776371148","wikidata":"https://www.wikidata.org/wiki/Q757138","display_name":"Dangerous goods","level":2,"score":0.6000038981437683},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5187011957168579},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.466152548789978},{"id":"https://openalex.org/C2983203078","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Information gain","level":2,"score":0.43131375312805176},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3894798755645752},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.24600917100906372},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19995194673538208},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.09495532512664795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08408716320991516}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc51323.2021.9498768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc51323.2021.9498768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1522185018","https://openalex.org/W1997326387","https://openalex.org/W2021379620","https://openalex.org/W2058221630","https://openalex.org/W2071725114","https://openalex.org/W2095979858","https://openalex.org/W2112566627","https://openalex.org/W2114245202","https://openalex.org/W2131049857","https://openalex.org/W2131613319","https://openalex.org/W2142246654","https://openalex.org/W2159617506","https://openalex.org/W2163168488","https://openalex.org/W2981096252","https://openalex.org/W3011830499","https://openalex.org/W3013899405","https://openalex.org/W6655756935","https://openalex.org/W6676767662","https://openalex.org/W6775374868"],"related_works":["https://openalex.org/W2735406411","https://openalex.org/W2915266342","https://openalex.org/W2993481718","https://openalex.org/W2350767540","https://openalex.org/W2999947692","https://openalex.org/W874155339","https://openalex.org/W2793035649","https://openalex.org/W2350235459","https://openalex.org/W4225412306","https://openalex.org/W3039226075"],"abstract_inverted_index":{"The":[0,48,85],"wrong":[1],"choice":[2,23],"of":[3,17,24,90],"transportation":[4,16,25,38,61],"routes":[5,26],"can":[6],"cause":[7],"major":[8],"accidents":[9,13],"or":[10],"even":[11],"extreme":[12],"during":[14],"the":[15,22,37,52,67,74,82,88,91],"dangerous":[18,28],"goods.":[19],"At":[20],"present,":[21],"for":[27],"goods":[29],"mainly":[30],"adopts":[31],"qualitative":[32],"analysis.":[33],"How":[34],"to":[35,44,81],"choose":[36],"route":[39,62,75],"scientifically":[40],"and":[41,72,79],"reasonably":[42],"needs":[43],"be":[45],"solved":[46],"urgently.":[47],"paper":[49],"focuses":[50],"on":[51],"factors":[53],"that":[54],"affect":[55],"road":[56],"transportation,":[57],"builds":[58],"information":[59,68],"gain-based":[60],"selection":[63,76],"loop":[64],"model,":[65],"improves":[66],"gain":[69],"method":[70],"greatly,":[71],"makes":[73],"more":[77],"stable":[78],"closer":[80],"actual":[83],"situation.":[84],"simulation":[86],"verifies":[87],"feasibility":[89],"proposed":[92],"method.":[93]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
