{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T02:43:35Z","timestamp":1775011415605,"version":"3.50.1"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11772264"],"award-info":[{"award-number":["11772264"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Basis Research Plan in Shaanxi Province of China","award":["2023-JC-YB-508"],"award-info":[{"award-number":["2023-JC-YB-508"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Veh. Technol."],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1109\/tvt.2024.3404403","type":"journal-article","created":{"date-parts":[[2024,5,24]],"date-time":"2024-05-24T17:21:02Z","timestamp":1716571262000},"page":"14399-14414","source":"Crossref","is-referenced-by-count":18,"title":["Collaborative Control of Vehicle Platoon Based on Deep Reinforcement Learning"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8070-5382","authenticated-orcid":false,"given":"Jianzhong","family":"Chen","sequence":"first","affiliation":[{"name":"School of Automation, Northwestern Polytechnical University, Xi&#x0027;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3294-3109","authenticated-orcid":false,"given":"Xiaobao","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Automation, Northwestern Polytechnical University, Xi&#x0027;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3538-8909","authenticated-orcid":false,"given":"Zekai","family":"Lv","sequence":"additional","affiliation":[{"name":"School of Automation, Northwestern Polytechnical University, Xi&#x0027;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-0474-6571","authenticated-orcid":false,"given":"Zhihe","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Automation, Northwestern Polytechnical University, Xi&#x0027;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-2668-6223","authenticated-orcid":false,"given":"Wenjie","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Automation, Northwestern Polytechnical University, Xi&#x0027;an, China"}]}],"member":"263","reference":[{"issue":"1","key":"ref1","first-page":"1","article-title":"State-of-the-art and technical trends of intelligent and connected vehicles","volume":"8","author":"Li","year":"2017","journal-title":"J. Automot. Saf. Energy"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2983468"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.2021.1100"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2019.2953562"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1631\/FITEE.1700053"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ISCID.2016.2054"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8916781"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3217299"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8814124"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3226579"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2157145"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/app8071014"},{"key":"ref13","first-page":"1","article-title":"Reinforcement learning based approach for multi-vehicle platooning problem with nonlinear dynamic behavior","volume-title":"Proc. 34th Conf. Neural Inf. Process. Syst.","author":"Farag"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.23919\/CCC52363.2021.9549418"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3161585"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2022.103744"},{"key":"ref17","article-title":"Scalable decentralized cooperative platoon using multi-agent deep reinforcement learning","author":"Abdelrahman","year":"2023"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3122257"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3222128"},{"key":"ref20","article-title":"Multi-agent reinforcement learning for connected and automated vehicles control: Recent advancements and future prospects","author":"Hua","year":"2023"},{"key":"ref21","article-title":"Multi-agent reinforcement learning for networked system control","author":"Chu","year":"2020"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2024.3368025"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3164656"},{"key":"ref24","article-title":"A DRL-based multiagent cooperative control framework for CAV networks: A graphic convolution Q network","author":"Dong","year":"2020"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207663"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2023.3319091"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2021.103421"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2023.104019"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3071959"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1049\/itr2.12386"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.vehcom.2015.03.004"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1049\/iet-its.2018.5296"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.32657\/10356\/90191"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2016.07.007"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1142\/S012918312250022X"},{"key":"ref36","volume-title":"Vehicle Dynamics and Control","author":"Rajamani","year":"2011"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.62.1805"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2010.0084"},{"key":"ref39","first-page":"1587","article-title":"Addressing function approximation error in actor-critic methods","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Fujimoto"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2021.103047"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2006.884615"}],"container-title":["IEEE Transactions on Vehicular Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/25\/10720559\/10538403.pdf?arnumber=10538403","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T00:56:08Z","timestamp":1729212968000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10538403\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":41,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tvt.2024.3404403","relation":{},"ISSN":["0018-9545","1939-9359"],"issn-type":[{"value":"0018-9545","type":"print"},{"value":"1939-9359","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10]]}}}