{"id":"https://openalex.org/W2561386107","doi":"https://doi.org/10.1109/itsc.2016.7795934","title":"Improving the performance of arrival on time in stochastic shortest path problem","display_name":"Improving the performance of arrival on time in stochastic shortest path problem","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2561386107","doi":"https://doi.org/10.1109/itsc.2016.7795934","mag":"2561386107"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2016.7795934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","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/A5059325642","display_name":"Yaoxin Wu","orcid":"https://orcid.org/0000-0002-3625-6599"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaoxin Wu","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603879","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0002-8213-0567"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101414598","display_name":"Xuexi Zhang","orcid":"https://orcid.org/0000-0001-5963-3839"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuexi Zhang","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062183387","display_name":"Guangjun Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147983","display_name":"Guangdong Police College","ror":"https://ror.org/05krxyw16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210147983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangjun Liao","raw_affiliation_strings":["Guangdong Police College, School of Forensic Science and Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Police College, School of Forensic Science and Technology, Guangzhou, China","institution_ids":["https://openalex.org/I4210147983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059325642"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.8179,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.87352388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2346","last_page":"2353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994999766349792,"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/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7346788644790649},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.6381314992904663},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5745640397071838},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5724884271621704},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.485110878944397},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4122655391693115},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1567932367324829},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12445855140686035},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10023137927055359},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.08406627178192139}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7346788644790649},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.6381314992904663},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5745640397071838},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5724884271621704},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.485110878944397},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4122655391693115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1567932367324829},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12445855140686035},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10023137927055359},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.08406627178192139},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2016.7795934","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2016.7795934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320325030","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80"},{"id":"https://openalex.org/F4320335795","display_name":"Science and Technology Planning Project of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320337610","display_name":"Skaggs School of Pharmacy and Pharmaceutical Sciences","ror":"https://ror.org/0168r3w48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1766637835","https://openalex.org/W1974399255","https://openalex.org/W1980917656","https://openalex.org/W1982904363","https://openalex.org/W2015730647","https://openalex.org/W2017733805","https://openalex.org/W2025676321","https://openalex.org/W2033339492","https://openalex.org/W2033471184","https://openalex.org/W2034204928","https://openalex.org/W2042022756","https://openalex.org/W2049345634","https://openalex.org/W2058135791","https://openalex.org/W2059186030","https://openalex.org/W2062568266","https://openalex.org/W2066145367","https://openalex.org/W2070361724","https://openalex.org/W2081287319","https://openalex.org/W2105777104","https://openalex.org/W2119702428","https://openalex.org/W2122967662","https://openalex.org/W2345006952","https://openalex.org/W2431210409","https://openalex.org/W2576865730","https://openalex.org/W2579357198","https://openalex.org/W4232597042","https://openalex.org/W6637930290","https://openalex.org/W6732160337","https://openalex.org/W6732368888"],"related_works":["https://openalex.org/W1987895267","https://openalex.org/W2350519135","https://openalex.org/W3118505512","https://openalex.org/W2390619334","https://openalex.org/W2349797546","https://openalex.org/W191849398","https://openalex.org/W2052190160","https://openalex.org/W2359578922","https://openalex.org/W2996337372","https://openalex.org/W2933449636"],"abstract_inverted_index":{"Facing":[0],"various":[1],"uncertainties":[2],"in":[3,28,73,139],"real":[4,140],"world":[5,141],"traffic,":[6],"navigation":[7],"services":[8],"are":[9],"typically":[10],"formulated":[11],"as":[12,47],"a":[13,66,106,136],"certain":[14,43],"stochastic":[15,26],"shortest":[16],"path":[17,108],"problem":[18,125],"(SSPP).":[19],"In":[20],"the":[21,36,74,84,110,117,123,127,146,151],"past":[22],"several":[23,131],"years,":[24],"many":[25],"objectives":[27],"SSPP":[29,72],"has":[30],"been":[31],"proposed,":[32],"among":[33],"which":[34,134],"maximizing":[35],"probability":[37],"of":[38,57,95,113,129,150],"arrival":[39],"on":[40],"time":[41],"draws":[42],"attentions":[44],"from":[45],"researchers":[46],"it":[48],"takes,":[49],"besides":[50],"absolute":[51],"travel":[52],"time,":[53],"an":[54],"extra":[55],"dimension":[56],"information":[58],"(user-specified":[59],"deadlines)":[60],"into":[61],"consideration.":[62],"This":[63],"paper":[64],"extends":[65],"recently":[67],"proposed":[68],"data-driven":[69,153],"approach":[70],"for":[71],"following":[75],"two":[76],"aspects:":[77],"(1)":[78],"when":[79],"deadline":[80,98],"is":[81,135],"loose":[82],"enough,":[83],"original":[85],"method":[86],"may":[87],"return":[88,105],"more":[89],"than":[90],"one":[91],"paths":[92],"since":[93],"all":[94],"them":[96],"meet":[97],"with":[99,109],"100%":[100],"probability.":[101],"We":[102],"propose":[103],"to":[104,126],"unique":[107],"least":[111],"number":[112],"intersections":[114],"by":[115],"reformulating":[116],"objective":[118],"function.":[119],"(2)":[120],"we":[121],"extend":[122],"arrive-on-time":[124],"case":[128],"visiting":[130],"fixed":[132],"locations,":[133],"common":[137],"scenario":[138],"application.":[142],"Experimental":[143],"results":[144],"show":[145],"accuracy":[147],"and":[148],"effectiveness":[149],"improved":[152],"method.":[154]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
