{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T20:46:43Z","timestamp":1782247603311,"version":"3.54.5"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Studentsk\u00e1 grantov\u00e1 sout\u011b\u017e [Student Grant Competition (SGS)]"},{"name":"VSB\u2014the Technical University of Ostrava","award":["SP2023\/005"],"award-info":[{"award-number":["SP2023\/005"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3247448","type":"journal-article","created":{"date-parts":[[2023,3,2]],"date-time":"2023-03-02T18:25:45Z","timestamp":1677781545000},"page":"19762-19774","source":"Crossref","is-referenced-by-count":87,"title":["On Hyperparameter Optimization of Machine Learning Methods Using a Bayesian Optimization Algorithm to Predict Work Travel Mode Choice"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2874-5429","authenticated-orcid":false,"given":"Mahdi","family":"Aghaabbasi","sequence":"first","affiliation":[{"name":"Transportation Institute, Chulalongkorn University, Bangkok, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4376-0459","authenticated-orcid":false,"given":"Mujahid","family":"Ali","sequence":"additional","affiliation":[{"name":"Department of Transport Systems, Traffic Engineering and Logistics, Faculty of Transport and Aviation Engineering, Silesian University of Technology, Katowice, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0983-2562","authenticated-orcid":false,"given":"Micha\u0142","family":"Jasi\u0144ski","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wroc&#x0142;aw University of Science and Technology, Wroc&#x0142;aw, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2388-3710","authenticated-orcid":false,"given":"Zbigniew","family":"Leonowicz","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wroc&#x0142;aw University of Science and Technology, Wroc&#x0142;aw, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tom\u00e1\u0161","family":"Nov\u00e1k","sequence":"additional","affiliation":[{"name":"Department of Electrical Power Engineering, Faculty of Electrical Engineering and Computer Science, VSB&#x2014;Technical University of Ostrava, Ostrava, Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chieco.2006.09.001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tra.2017.05.016"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/03081060290032051"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1139\/L10-008"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11116-012-9399-4"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jtrangeo.2016.06.003"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)UP.1943-5444.0000710"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.tra.2022.02.003"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.tra.2021.03.021"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.cities.2021.103114"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1177\/0042098008093377"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.5038\/2375-0901.17.2.4"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jtrangeo.2020.102708"},{"issue":"13","key":"ref14","doi-asserted-by":"crossref","first-page":"7465","DOI":"10.3390\/su13137465","article-title":"The influence of COVID-19-Induced daily activities on health parameters\u2014A case study in Malaysia","volume":"13","author":"Ali","year":"2021","journal-title":"Sustainability"},{"issue":"6","key":"ref15","first-page":"4026","article-title":"Travel behaviour and health: Interaction of activity-travel pattern, travel parameter and physical intensity","volume":"63","author":"Ali","year":"2020","journal-title":"Solid State Technol."},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1080\/15568318.2019.1686782"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.tra.2011.09.012"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.tra.2020.04.013"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.01.057"},{"key":"ref20","first-page":"105","article-title":"Conditional logit analysis of qualitative choice behavior","volume-title":"Frontiers in Econometrics","author":"McFadden","year":"1973"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1017\/cbo9780511805271"},{"key":"ref22","volume-title":"Discrete Choice Analysis: Theory and Application to Travel Demand","author":"Ben-Akiva","year":"1985"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocm.2018.02.002"},{"issue":"17","key":"ref24","doi-asserted-by":"crossref","first-page":"10467","DOI":"10.3390\/su141710467","article-title":"Comparative analysis of the optimized KNN, SVM, and ensemble DT models using Bayesian optimization for predicting pedestrian fatalities: An advance towards realizing the sustainable safety of pedestrians","volume":"14","author":"Yang","year":"2022","journal-title":"Sustainability"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-7566-5"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.tbs.2018.09.002"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.tbs.2020.02.003"},{"issue":"21","key":"ref28","doi-asserted-by":"crossref","first-page":"12226","DOI":"10.3390\/su132112226","article-title":"Time-use and spatio-temporal variables influence on physical activity intensity, physical and social health of travelers","volume":"13","author":"Ali","year":"2021","journal-title":"Sustainability"},{"issue":"1","key":"ref29","doi-asserted-by":"crossref","first-page":"325","DOI":"10.3390\/su14010325","article-title":"Hybrid Bayesian network models to investigate the impact of built environment experience before adulthood on students\u2019 tolerable travel time to campus: Towards sustainable commute behavior","volume":"14","author":"Chen","year":"2021","journal-title":"Sustainability"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.116253"},{"key":"ref31","article-title":"Automated machine learning: State-of-the-art and open challenges","author":"Elshawi","year":"2019","journal-title":"arXiv:1906.02287"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-6849-3"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/su14063395"},{"issue":"24","key":"ref34","doi-asserted-by":"crossref","first-page":"11916","DOI":"10.3390\/app112411916","article-title":"Classification of imbalanced travel mode choice to work data using adjustable SVM model","volume":"11","author":"Qian","year":"2021","journal-title":"Appl. Sci."},{"issue":"7","key":"ref35","doi-asserted-by":"crossref","first-page":"3989","DOI":"10.3390\/su14073989","article-title":"How sustainable is people\u2019s travel to reach public transit stations to go to work? A machine learning approach to reveal complex relationships","volume":"14","author":"Tang","year":"2022","journal-title":"Sustainability"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1147\/JRD.2017.2709578"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.07.061"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s13721-016-0125-6"},{"key":"ref39","first-page":"2113","article-title":"Gradient-based hyperparameter optimization through reversible learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Maclaurin"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/6278908"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/434972"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s11069-021-04862-y"},{"issue":"3","key":"ref43","first-page":"1","article-title":"Towards an empirical foundation for assessing Bayesian optimization of hyperparameters","volume-title":"Proc. NIPS Workshop Bayesian Optim. Theory Pract.","volume":"10","author":"Eggensperger"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9375"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3390\/su14042436"},{"issue":"7","key":"ref46","doi-asserted-by":"crossref","first-page":"919","DOI":"10.3390\/buildings12070919","article-title":"A novel combination of PCA and machine learning techniques to select the most important factors for predicting tunnel construction performance","volume":"12","author":"Wang","year":"2022","journal-title":"Buildings"},{"issue":"17","key":"ref47","doi-asserted-by":"crossref","first-page":"11094","DOI":"10.3390\/su141711094","article-title":"Targeting sustainable transportation development: The support vector machine and the Bayesian optimization algorithm for classifying household vehicle ownership","volume":"14","author":"Xu","year":"2022","journal-title":"Sustainability"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.2495\/UT070641"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1080\/15568318.2019.1570404"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3141\/2468-13"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1063\/1.5042897"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1061\/JTEPBS.0000158"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1080\/19427867.2017.1299396"},{"key":"ref54","volume-title":"The Nature of Support Vector Machine","author":"Vapnik","year":"1999"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.2307\/2685209"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1111\/j.1751-5823.2001.tb00465.x"},{"issue":"1","key":"ref57","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.3141\/1854-06"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.tbs.2022.07.003"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2017.03.012"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.3141\/2156-09"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1177\/0361198105192400111"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.tra.2008.11.011"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10049559.pdf?arnumber=10049559","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T06:24:10Z","timestamp":1710397450000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10049559\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":63,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3247448","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}