{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T13:27:44Z","timestamp":1773149264757,"version":"3.50.1"},"reference-count":37,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T00:00:00Z","timestamp":1765324800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100024370","name":"Ministero dell'Istruzione dell'Universit\u00e0 e della Ricerca","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100024370","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021856","name":"Ministero dell'Universit\u00e0 e della Ricerca","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100021856","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["CSC N202308210105"],"award-info":[{"award-number":["CSC N202308210105"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["CSC No. 202308210105"],"award-info":[{"award-number":["CSC No. 202308210105"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1016\/j.neucom.2025.132412","type":"journal-article","created":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T17:24:21Z","timestamp":1765473861000},"page":"132412","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Cooperative multi-agent deep reinforcement learning-based eco-driving strategy for hybrid electric vehicles at multi-intersection scenarios"],"prefix":"10.1016","volume":"668","author":[{"given":"Youqian","family":"He","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7629-3266","authenticated-orcid":false,"given":"Hamid Reza","family":"Karimi","sequence":"additional","affiliation":[]},{"given":"Peng","family":"Mei","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.neucom.2025.132412_bib0005","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1109\/TTE.2015.2471180","article-title":"Energy management strategy for hevs including battery life optimization","volume":"1","author":"Tang","year":"2015","journal-title":"IEEE Trans. Transp. Electrific."},{"key":"10.1016\/j.neucom.2025.132412_bib0010","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1109\/TTE.2021.3105244","article-title":"Generation, screening, and optimization of powertrain configurations for power-split hybrid electric vehicle: a comprehensive overview","volume":"8","author":"Zhao","year":"2021","journal-title":"IEEE Trans. Transp. Electrific."},{"key":"10.1016\/j.neucom.2025.132412_bib0015","doi-asserted-by":"crossref","first-page":"187","DOI":"10.3390\/app8020187","article-title":"Energy management strategy for a hybrid electric vehicle based on deep reinforcement learning","volume":"8","author":"Hu","year":"2018","journal-title":"Appl. Sci."},{"key":"10.1016\/j.neucom.2025.132412_bib0020","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1016\/j.scitotenv.2018.12.349","article-title":"Fuel consumption and emissions performance under real driving: comparison between hybrid and conventional vehicles","volume":"659","author":"Huang","year":"2019","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.neucom.2025.132412_bib0025","doi-asserted-by":"crossref","first-page":"226","DOI":"10.3390\/su13010226","article-title":"Eco-driving and its impacts on fuel efficiency: an overview of technologies and data-driven methods","volume":"13","author":"Fafoutellis","year":"2020","journal-title":"Sustainability"},{"key":"10.1016\/j.neucom.2025.132412_bib0030","doi-asserted-by":"crossref","first-page":"762","DOI":"10.1016\/j.enpol.2009.10.021","article-title":"Eco-driving: an overlooked climate change initiative","volume":"38","author":"Barkenbus","year":"2010","journal-title":"Energy Policy"},{"key":"10.1016\/j.neucom.2025.132412_bib0035","doi-asserted-by":"crossref","first-page":"6547","DOI":"10.3390\/s21196547","article-title":"An overview of eco-driving theory, capability evaluation, and training applications","volume":"21","author":"Xu","year":"2021","journal-title":"Sensors"},{"key":"10.1016\/j.neucom.2025.132412_bib0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.neunet.2024.106518","article-title":"A two-stage importance-aware subgraph convolutional network based on multi-source sensors for cross-domain fault diagnosis","volume":"179","author":"Yu","year":"2024","journal-title":"Neural Networks"},{"key":"10.1016\/j.neucom.2025.132412_bib0045","doi-asserted-by":"crossref","first-page":"11204","DOI":"10.1109\/TVT.2021.3102505","article-title":"Integrated approximate dynamic programming and equivalent consumption minimization strategy for eco-driving in a connected and automated vehicle","volume":"70","author":"Deshpande","year":"2021","journal-title":"IEEE Trans. Veh. Technol."},{"key":"10.1016\/j.neucom.2025.132412_bib0050","doi-asserted-by":"crossref","DOI":"10.1016\/j.geits.2023.100122","article-title":"A cloud-based eco-driving solution for autonomous hybrid electric bus rapid transit in cooperative vehicle-infrastructure systems: a dynamic programming approach","volume":"2","author":"Li","year":"2023","journal-title":"Green Energy Intell. Transp."},{"key":"10.1016\/j.neucom.2025.132412_bib0055","doi-asserted-by":"crossref","first-page":"5271","DOI":"10.3390\/app10155271","article-title":"Adaptive cruise control for eco-driving based on model predictive control algorithm","volume":"10","author":"Nie","year":"2020","journal-title":"Appl. Sci."},{"key":"10.1016\/j.neucom.2025.132412_bib0060","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1007\/s12239-021-0044-0","article-title":"A multi-objective model predictive control for vehicle adaptive cruise control system based on a new safe distance model","volume":"22","author":"Liu","year":"2021","journal-title":"Int. J. Automot. Technol."},{"key":"10.1016\/j.neucom.2025.132412_bib0065","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1016\/j.egyr.2023.12.035","article-title":"Efficient self-driving control for lead vehicle following in a mixed traffic environment","volume":"9","author":"Lee","year":"2023","journal-title":"Energy Rep."},{"key":"10.1016\/j.neucom.2025.132412_bib0070","article-title":"An eco-driving control strategy for connected electric vehicles at intersections based on preceding vehicle speed prediction","author":"Zhang","year":"2024","journal-title":"IEEE Trans. Transp. Electrific."},{"key":"10.1016\/j.neucom.2025.132412_bib0075","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.ymssp.2016.04.016","article-title":"Green light optimal speed advisory for hybrid electric vehicles","volume":"87","author":"Luo","year":"2017","journal-title":"Mech. Syst. Signal Process."},{"key":"10.1016\/j.neucom.2025.132412_bib0080","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2024.130829","article-title":"An eco-driving strategy for autonomous electric vehicles crossing continuous speed-limit signalized intersections","volume":"294","author":"Liu","year":"2024","journal-title":"Energy"},{"key":"10.1016\/j.neucom.2025.132412_bib0085","doi-asserted-by":"crossref","DOI":"10.1016\/j.ymssp.2024.111194","article-title":"A new multi-source information domain adaption network based on domain attributes and features transfer for cross-domain fault diagnosis","volume":"211","author":"Yu","year":"2024","journal-title":"Mech. Syst. Signal Process."},{"key":"10.1016\/j.neucom.2025.132412_bib0090","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2025.103434","article-title":"A novel digital twin-enabled three-stage feature imputation framework for non-contact intelligent fault diagnosis","volume":"66","author":"Yu","year":"2025","journal-title":"Adv. Eng. Inform."},{"key":"10.1016\/j.neucom.2025.132412_bib0095","article-title":"A comprehensive survey of multi-agent deep reinforcement learning for wireless spectrum management","author":"Wang","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2025.132412_bib0100","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2023.128517","article-title":"Overcoming driving challenges in complex urban traffic: a multi-objective eco-driving strategy via safety model based reinforcement learning","volume":"284","author":"Li","year":"2023","journal-title":"Energy"},{"key":"10.1016\/j.neucom.2025.132412_bib0105","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/j.rser.2015.03.093","article-title":"A comprehensive analysis of energy management strategies for hybrid electric vehicles based on bibliometrics","volume":"48","author":"Zhang","year":"2015","journal-title":"Renew. Sustain. Energy Rev."},{"key":"10.1016\/j.neucom.2025.132412_bib0110","doi-asserted-by":"crossref","first-page":"10875","DOI":"10.1109\/TVT.2017.2727069","article-title":"Comparative study of real-time HEV energy management strategies","volume":"66","author":"Jiang","year":"2017","journal-title":"IEEE Trans. Veh. Technol."},{"key":"10.1016\/j.neucom.2025.132412_bib0115","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2020.117297","article-title":"Rule-interposing deep reinforcement learning based energy management strategy for power-split hybrid electric vehicle","volume":"197","author":"Lian","year":"2020","journal-title":"Energy"},{"key":"10.1016\/j.neucom.2025.132412_bib0120","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1109\/TASE.2017.2650146","article-title":"Energy management improvement of hybrid electric vehicles via combined gps\/rule-based methodology","volume":"14","author":"Ramadan","year":"2017","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"10.1016\/j.neucom.2025.132412_bib0125","doi-asserted-by":"crossref","first-page":"4472","DOI":"10.3390\/en12234472","article-title":"Adaptive rule-based energy management strategy for a parallel HEV","volume":"12","author":"Bagwe","year":"2019","journal-title":"Energies"},{"key":"10.1016\/j.neucom.2025.132412_bib0130","doi-asserted-by":"crossref","first-page":"10875","DOI":"10.1109\/TVT.2017.2727069","article-title":"Comparative study of real-time HEV energy management strategies","volume":"66","author":"Jiang","year":"2017","journal-title":"IEEE Trans. Veh. Technol."},{"key":"10.1016\/j.neucom.2025.132412_bib0135","doi-asserted-by":"crossref","first-page":"546","DOI":"10.1016\/j.ifacol.2021.10.219","article-title":"An intelligent energy management strategy for hybrid vehicle with irrational actions using twin delayed deep deterministic policy gradient","volume":"54","author":"Liu","year":"2021","journal-title":"IFAC-Pap. OnLine"},{"key":"10.1016\/j.neucom.2025.132412_bib0140","doi-asserted-by":"crossref","first-page":"2538","DOI":"10.1109\/TVT.2021.3127691","article-title":"Adaptive equivalent consumption minimization strategy (a-ecms) for the hevs with a near-optimal equivalent factor considering driving conditions","volume":"71","author":"Choi","year":"2021","journal-title":"IEEE Trans. Veh. Technol."},{"key":"10.1016\/j.neucom.2025.132412_bib0145","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2021.120273","article-title":"An improved mpc-based energy management strategy for hybrid vehicles using v2v and v2i communications","volume":"225","author":"He","year":"2021","journal-title":"Energy"},{"key":"10.1016\/j.neucom.2025.132412_bib0150","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2023.106239","article-title":"A deep reinforcement learning approach to energy management control with connected information for hybrid electric vehicles","volume":"123","author":"Mei","year":"2023","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.neucom.2025.132412_bib0155","first-page":"13901","article-title":"A deep reinforcement learning based hierarchical eco-driving strategy for connected and automated hevs","volume":"72","author":"Wu","year":"2023","journal-title":"IEEE Trans. Veh. Technol."},{"key":"10.1016\/j.neucom.2025.132412_bib0160","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2025.135669","article-title":"Hierarchical deep reinforcement learning based multi-agent game control for energy consumption and traffic efficiency improving of autonomous vehicles","volume":"323","author":"Chen","year":"2025","journal-title":"Energy"},{"key":"10.1016\/j.neucom.2025.132412_bib0165","doi-asserted-by":"crossref","first-page":"15780","DOI":"10.1109\/TITS.2022.3145453","article-title":"An eco-driving strategy for partially connected automated vehicles at a signalized intersection","volume":"23","author":"Yu","year":"2022","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"10.1016\/j.neucom.2025.132412_bib0170","doi-asserted-by":"crossref","DOI":"10.1016\/j.apenergy.2022.120563","article-title":"Cooperative energy management and eco-driving of plug-in hybrid electric vehicle via multi-agent reinforcement learning","volume":"332","author":"Wang","year":"2023","journal-title":"Appl. Energy"},{"key":"10.1016\/j.neucom.2025.132412_bib0175","article-title":"Energy management of intelligent fchevs under adaptive cruise control based on multi-objective deep reinforcement learning","author":"Wang","year":"2025","journal-title":"IEEE Trans. Veh. Technol."},{"key":"10.1016\/j.neucom.2025.132412_bib0180","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.neucom.2022.12.020","article-title":"Hybrid attention-oriented experience replay for deep reinforcement learning and its application to a multi-robot cooperative hunting problem","volume":"523","author":"Yu","year":"2023","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2025.132412_bib0185","series-title":"Proc. IEEE Winter Conf. Appl. Comput. Vis. (WACV)","first-page":"464","article-title":"Cyclical learning rates for training neural networks","author":"Smith","year":"2017"}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S092523122503084X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S092523122503084X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T22:02:14Z","timestamp":1773093734000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S092523122503084X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":37,"alternative-id":["S092523122503084X"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2025.132412","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2026,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Cooperative multi-agent deep reinforcement learning-based eco-driving strategy for hybrid electric vehicles at multi-intersection scenarios","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2025.132412","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Author(s). Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"132412"}}