{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,16]],"date-time":"2025-12-16T12:45:37Z","timestamp":1765889137773,"version":"3.37.3"},"reference-count":43,"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\/4.0\/legalcode"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100000015","name":"United States Department of Energy","doi-asserted-by":"publisher","award":["DE-FOA-0002197"],"award-info":[{"award-number":["DE-FOA-0002197"]}],"id":[{"id":"10.13039\/100000015","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3290994","type":"journal-article","created":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T17:27:44Z","timestamp":1688146064000},"page":"67168-67179","source":"Crossref","is-referenced-by-count":9,"title":["Mixed Effects Random Forest Model for Maintenance Cost Estimation in Heavy-Duty Vehicles Using Diesel and Alternative Fuels"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9293-7161","authenticated-orcid":false,"given":"Sasanka","family":"Katreddi","sequence":"first","affiliation":[{"name":"Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arvind","family":"Thiruvengadam","sequence":"additional","affiliation":[{"name":"Center for Alternative Fuels, Engines, and Emissions, Mechanical and Aerospace Engineering, West Virginia University, Morgantown, WV, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gregory J.","family":"Thompson","sequence":"additional","affiliation":[{"name":"Center for Alternative Fuels, Engines, and Emissions, Mechanical and Aerospace Engineering, West Virginia University, Morgantown, WV, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0531-7157","authenticated-orcid":false,"given":"Natalia A.","family":"Schmid","sequence":"additional","affiliation":[{"name":"Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2934780"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.spl.2010.12.003"},{"journal-title":"International Energy Outlook","year":"2019","key":"ref12"},{"journal-title":"RE-EM Trees A Data Mining Approach for Longitudinal and Clustered Data |SpringerLink","year":"2023","key":"ref34"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.trpro.2017.05.117"},{"journal-title":"A Random Forest Guided Tour","year":"2023","key":"ref37"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.trd.2020.102558"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.2307\/2530946"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/9780470743386"},{"journal-title":"Comparison of maintenance cost of medium and heavy-duty alternative fuel and diesel vehicles","year":"2022","author":"boyce","key":"ref30"},{"journal-title":"Advanced Clean Fleets |California Air Resources Board","year":"2023","key":"ref11"},{"journal-title":"Robustness Issues in Multilevel Regression Analysis&#x2014;Maas&#x2014;2004&#x2014;Statistica Neerlandica&#x2014;Wiley Online Library","year":"2023","key":"ref33"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/vehicles2030021"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s11135-014-0060-5"},{"journal-title":"Fast Facts on Transportation Greenhouse Gas Emissions","year":"2015","key":"ref2"},{"journal-title":"The per-mile costs of operating automobiles and trucks","year":"2003","author":"barnes","key":"ref1"},{"journal-title":"Literature Review on Transit Bus Maintenance CostMar 02 2016 &#x00B7; Advanced Clean Transit Program Literature Review on Transit Bus Maintenance Cost (Discussion Draft) August 2016&#x2014;[PDF Document]","year":"2022","key":"ref17"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1080\/00949655.2012.741599"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.rtbm.2016.01.003"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.trd.2021.103150"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2172\/1780970"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2844856"},{"key":"ref23","first-page":"1","article-title":"Analysis of truck compressor failures based on logged vehicle data","author":"prytz","year":"2013","journal-title":"Proc 9th IEEE Int Conf Data Mining"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/app11093758"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.690"},{"key":"ref20","first-page":"1","article-title":"Machine learning models applied to predictive maintenance in automotive engine components","volume":"64","author":"tessaro","year":"2020","journal-title":"Proceedings"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1111\/rssc.12600"},{"key":"ref41","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","article-title":"Maximum likelihood from incomplete data via theEMAlgorithm","volume":"39","author":"dempster","year":"1977","journal-title":"J Roy Statist Soc B Statist Methodol"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2010.2078296"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2019.106024"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"journal-title":"Estimating Maintenance and Repair Costs for Battery Electric and Fuel Cell Heavy Duty Trucks","year":"2022","author":"wang","key":"ref28"},{"journal-title":"Survey on Anomaly Detection using Data Mining Techniques |Elsevier Enhanced Reader","year":"2022","key":"ref27"},{"key":"ref29","doi-asserted-by":"crossref","DOI":"10.33915\/etd.11780","article-title":"Development of machine learning based approach to predict fuel consumption and maintenance cost of heavy-duty vehicles using diesel and alternative fuels","author":"katreddi","year":"2023"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/su12051906"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.joei.2018.06.005"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/vehicles3010002"},{"journal-title":"California Moves to Accelerate to 100% New Zero-Emission Vehicle Sales by 2035 | California Air Resources Board","year":"2023","key":"ref4"},{"journal-title":"Alternative Fuels Data Center Maps and Data&#x2014;Vehicle Weight Classes & Categories","year":"2023","key":"ref3"},{"journal-title":"Alternative Fuels Data Center Alternative Fuels and Advanced Vehicles","year":"2023","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ISMSIT.2019.8932925"},{"article-title":"The EM algorithm","year":"2004","author":"mclachlan","key":"ref40"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/6287639\/10005208\/10168912-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10168912.pdf?arnumber=10168912","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T12:19:53Z","timestamp":1729685993000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10168912\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3290994","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2023]]}}}