{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T04:21:36Z","timestamp":1778646096692,"version":"3.51.4"},"reference-count":45,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,10]]},"DOI":"10.1109\/itsc.2019.8917496","type":"proceedings-article","created":{"date-parts":[[2019,11,29]],"date-time":"2019-11-29T11:11:50Z","timestamp":1575025910000},"page":"1981-1988","source":"Crossref","is-referenced-by-count":7,"title":["Bayesian Optimization for Crowd Traffic Control Using Multi-Agent Simulation"],"prefix":"10.1109","author":[{"given":"Takuma","family":"Otsuka","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hitoshi","family":"Shimizu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomoharu","family":"Iwata","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Futoshi","family":"Naya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiroshi","family":"Sawada","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naonori","family":"Ueda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"2951","article-title":"Practical Bayesian optimization of machine learning algorithms","author":"snoek","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref38","author":"rasmussen","year":"2006","journal-title":"Gaussian Processes for Machine Learning"},{"key":"ref33","article-title":"Pedestrian Planning and Design","author":"fruin","year":"1971","journal-title":"Metropolitan Association of Urban Designers and Environmental Planners Inc"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/1618452.1618468"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1108\/9781848557512-011"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2004.00783.x"},{"key":"ref37","author":"nocedal","year":"2006","journal-title":"Numerical Optimization"},{"key":"ref36","author":"bazaraa","year":"2011","journal-title":"Linear Programming and Network Flows"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s10009-014-0352-z"},{"key":"ref34","first-page":"160","article-title":"Movement of pedestrians on footway in shopping streets","volume":"10","author":"older","year":"1968","journal-title":"Traffic Engineering and Control"},{"key":"ref10","first-page":"190","article-title":"Pedestrian evacuation management of large areas: a bi-level simulation approach based on fuzzy logic","author":"marinelli","year":"2015","journal-title":"International Conference on Intelligent Transportation Systems"},{"key":"ref40","first-page":"97","article-title":"A new method of locating the maximum point of an arbitrary multipeak curve in the presence of noise","volume":"86","author":"kushner","year":"1964","journal-title":"Journal of Fluids Engineering"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008306431147"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10898-012-9951-y"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/KMN.2002.1115175"},{"key":"ref14","first-page":"99","article-title":"Controlling individual agents in high-density crowd simulation","author":"pelechano","year":"2007","journal-title":"ACM SIGGRAPH\/Eurographics Symposium on Computer Animation"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2800835.2801624"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/1082473.1082546"},{"key":"ref17","article-title":"Crowd simulation modeling applied to emergency and evacuation simulations using multi-agent systems","author":"almeida","year":"2013"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1214\/15-AOAS805"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2829086"},{"key":"ref28","article-title":"Finding appropriate traffic regulations via graph convolutional networks","author":"iwata","year":"2018"},{"key":"ref4","first-page":"1151","article-title":"Multi-agent reinforcement learning for traffic light control","author":"wiering","year":"2000","journal-title":"International Conference on Machine Learning"},{"key":"ref27","article-title":"Spatio-temporal graph convolutional neural network: A deep learning framework for traffic forecasting","author":"yu","year":"2017"},{"key":"ref3","first-page":"945","article-title":"Predictive Q-routing: A memorybased reinforcement learning approach to adaptive traffic control","author":"choi","year":"1996","journal-title":"Advances in neural information processing systems"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2016.7795890"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CASA.2003.1199317"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2014.01.007"},{"key":"ref8","article-title":"Multiagentbased cooperative vehicle routing using node pressure and auctions","author":"seshadri","year":"2017","journal-title":"International Conference on Intelligent Transportation Systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2010.2048313"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-003-0248-5"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2494218"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1098\/rsif.2016.1041"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s101070100259"},{"key":"ref45","article-title":"Digital map of basic geospatial information","author":"of japan","year":"2018"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2996913.2996934"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.sbspro.2013.08.076"},{"key":"ref42","first-page":"397","article-title":"Using confidence bounds for exploitation-exploration tradeoffs","volume":"3","author":"auer","year":"2002","journal-title":"Journal of Machine Learning Research"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2996913.2997016"},{"key":"ref41","article-title":"On Bayesian methods for seeking the extremum","author":"mo?kus","year":"1974","journal-title":"Optimization Techniques IFIP Technical Conference"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3141\/2165-08"},{"key":"ref44","first-page":"3627","article-title":"Max-value entropy search for efficient Bayesian optimization","author":"wang","year":"2017","journal-title":"International Conference on Machine Learning"},{"key":"ref26","article-title":"Diffusion graph convolutional recurrent neural network: Data-driven traffic forecasting","author":"li","year":"2017"},{"key":"ref43","first-page":"1015","article-title":"Gaussian process optimization in the bandit setting: No regret and experimental design","author":"srinivas","year":"2010","journal-title":"International Conference on Machine Learning"},{"key":"ref25","first-page":"1655","article-title":"Deep spatio-temporal residual networks for citywide crowd flows prediction","author":"zhang","year":"2017","journal-title":"AAAI Conference on Artificial Intelligence"}],"event":{"name":"2019 IEEE Intelligent Transportation Systems Conference - ITSC","location":"Auckland, New Zealand","start":{"date-parts":[[2019,10,27]]},"end":{"date-parts":[[2019,10,30]]}},"container-title":["2019 IEEE Intelligent Transportation Systems Conference (ITSC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8907344\/8916833\/08917496.pdf?arnumber=8917496","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T15:11:06Z","timestamp":1658157066000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8917496\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/itsc.2019.8917496","relation":{},"subject":[],"published":{"date-parts":[[2019,10]]}}}