{"id":"https://openalex.org/W2989089591","doi":"https://doi.org/10.1145/3356470.3365532","title":"ES-band","display_name":"ES-band","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2989089591","doi":"https://doi.org/10.1145/3356470.3365532","mag":"2989089591"},"language":"en","primary_location":{"id":"doi:10.1145/3356470.3365532","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3356470.3365532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation","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/A5101489321","display_name":"Ye Zheng","orcid":"https://orcid.org/0000-0002-4966-1710"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Zheng","raw_affiliation_strings":["Shenzhen University, Shenzhen, Guangdong, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, Guangdong, PR China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086868805","display_name":"Ding Ma","orcid":"https://orcid.org/0000-0001-9328-9584"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ding Ma","raw_affiliation_strings":["Shenzhen University, Shenzhen, Guangdong, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, Guangdong, PR China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071348262","display_name":"Fengying Jin","orcid":"https://orcid.org/0000-0002-9740-927X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengying Jin","raw_affiliation_strings":["Wuhan University, Wuhan, Hubei, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, Hubei, PR China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100675631","display_name":"Zhigang Zhao","orcid":"https://orcid.org/0000-0002-9327-9893"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Zhao","raw_affiliation_strings":["Shenzhen University, Shenzhen, Guangdong, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, Guangdong, PR China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.18385302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"196","issue":null,"first_page":"36","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998000264167786,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9990000128746033,"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":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6510032415390015},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6365938186645508},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.635881781578064},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4741774797439575},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4716735780239105},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.42194420099258423},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3647216558456421},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28912585973739624}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6510032415390015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6365938186645508},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.635881781578064},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4741774797439575},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4716735780239105},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.42194420099258423},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3647216558456421},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28912585973739624},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3356470.3365532","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3356470.3365532","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W45093816","https://openalex.org/W112602112","https://openalex.org/W2078895652","https://openalex.org/W2082371193","https://openalex.org/W2278896211","https://openalex.org/W2480177474","https://openalex.org/W2492085449","https://openalex.org/W2596367596","https://openalex.org/W2802971719","https://openalex.org/W4200009332","https://openalex.org/W4245044476","https://openalex.org/W4251847561"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W3084456289","https://openalex.org/W2389214306","https://openalex.org/W2024136090","https://openalex.org/W4391331176","https://openalex.org/W2586732548"],"abstract_inverted_index":{"Urban":[0],"arterial":[1,82],"traffic":[2,45,62,83,110,137,149],"coordination":[3,84],"control":[4,46,81],"catches":[5],"great":[6],"attention":[7],"in":[8,143,172],"the":[9,17,34,37,41,56,86,93,118,127,135,166,169],"process":[10],"of":[11,28,58,88,131,140,159,174],"smart":[12],"city":[13],"construction.":[14],"To":[15],"achieve":[16],"optimum":[18],"signal":[19,107],"timing,":[20],"many":[21],"studies":[22],"attempt":[23],"to":[24,33,65,80,103,125],"adjust":[25],"green":[26,43],"splits":[27],"a":[29,50,77,100,157,175],"cycle":[30],"time":[31],"according":[32],"distance":[35],"between":[36],"road":[38],"intersections.":[39],"However,":[40],"existing":[42],"wave":[44],"system":[47],"usually":[48],"has":[49],"sophisticated":[51],"calculation,":[52],"which":[53],"depends":[54],"upon":[55],"stability":[57],"vehicle":[59],"speed":[60],"and":[61,129,154,181],"flow,":[63],"leading":[64],"weak":[66],"robustness.":[67],"Therefore,":[68],"this":[69],"short":[70],"paper":[71],"puts":[72],"forward":[73],"ES-Band,":[74,132],"that":[75,165],"is,":[76],"novel":[78],"approach":[79],"with":[85],"help":[87],"artificial":[89],"intelligence.":[90],"ES-Band":[91,167],"introduces":[92],"Covariance":[94],"Matrix":[95],"Adaptation":[96],"Evolutionary":[97],"Strategies":[98],"(CMA-ES),":[99],"scalable":[101],"alternative":[102],"reinforcement":[104],"learning,":[105],"into":[106,148],"timing.":[108],"Different":[109],"variables":[111],"are":[112],"adopted":[113],"as":[114],"parameters":[115],"for":[116,152],"searching":[117],"optimal":[119],"value":[120],"by":[121],"CMA-ES.":[122],"In":[123],"order":[124],"evaluate":[126],"feasibility":[128],"effectiveness":[130],"we":[133],"import":[134],"real":[136],"flow":[138],"data":[139],"Zhongshan":[141],"Road":[142],"Ningbo,":[144],"Zhejiang":[145],"Province,":[146],"China,":[147],"environment":[150],"simulator":[151],"training":[153],"carry":[155],"out":[156],"series":[158],"experiments.":[160],"The":[161],"results":[162],"have":[163],"shown":[164],"outperforms":[168],"traditional":[170],"methods":[171],"terms":[173],"better":[176],"convergence,":[177],"lower":[178],"travel":[179],"time,":[180],"fewer":[182],"stops.":[183]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2019-11-22T00:00:00"}