{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T17:20:44Z","timestamp":1765041644022,"version":"3.45.0"},"reference-count":30,"publisher":"Tech Science Press","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2025]]},"DOI":"10.32604\/cmc.2025.060392","type":"journal-article","created":{"date-parts":[[2025,3,21]],"date-time":"2025-03-21T04:59:50Z","timestamp":1742533190000},"page":"2059-2086","source":"Crossref","is-referenced-by-count":1,"title":["DRG-DCC: A Driving Risk Gaming Based Distributed Congestion Control Method for C-V2X Technology"],"prefix":"10.32604","volume":"83","author":[{"given":"Lingqiu","family":"Zeng","sequence":"first","affiliation":[]},{"given":"Peibing","family":"Sa","sequence":"additional","affiliation":[]},{"given":"Qingwen","family":"Han","sequence":"additional","affiliation":[]},{"given":"Lei","family":"Ye","sequence":"additional","affiliation":[]},{"given":"Letian","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Cheng","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Jiqiang","family":"Cheng","sequence":"additional","affiliation":[]}],"member":"17807","published-online":{"date-parts":[[2025]]},"reference":[{"key":"ref1","unstructured":"3GPP. Release 14 [Standard]. 2017 [cited 2025 Feb 11]. Available from: https:\/\/www.3gpp.org\/specifications-technologies\/releases\/release-14."},{"key":"ref2","doi-asserted-by":"crossref","first-page":"2582","DOI":"10.1109\/LWC.2021.3108821","article-title":"Deep reinforcement learning-based distributed congestion control in cellular V2X networks","volume":"10","author":"Choi","year":"2021","journal-title":"IEEE Wirel Commun Lett"},{"key":"ref3","series-title":"8th International Symposium on Embedded Computing and System Design (ISED)","first-page":"246","article-title":"Challenges for decentralized congestion control mechanisms in vehicular ad hoc networks","author":"Patil","year":"2018 Dec 13\u201315"},{"journal-title":"Congestion Control Mechanisms for the C-V2X PC5 Interface; Access Layer Part, Standard ETSI TS 103 574 V1.1.1","year":"2018","key":"ref4"},{"key":"ref5","doi-asserted-by":"crossref","unstructured":"Fallah YP, Huang CL, Sengupta R, Krishnan HJIToVT. Analysis of information dissemination in vehicular ad-hoc networks with application to cooperative vehicle safety Systems. 2011;60(1):233\u201347.","DOI":"10.1109\/TVT.2010.2085022"},{"key":"ref6","series-title":"15th Annual Conference on Wireless On-demand Network Systems and Services (WONS)","first-page":"56","article-title":"A first investigation of congestion control for LTE-V2X mode 4","author":"Mansouri","year":"2019"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"83","DOI":"10.19040\/ecocycles.v9i1.263","article-title":"Impact of highway design on traffic safety: how geometric elements affect accident risk","volume":"9","author":"Garnaik","year":"2023","journal-title":"Ecocycles"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"27","DOI":"10.4186\/ej.2021.25.10.27","article-title":"Analyzing human, roadway, vehicular and environmental factors contributing to fatal road traffic crashes in Thailand","volume":"25","author":"Srisurin","year":"2021","journal-title":"Eng J"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.4038\/sljastats.v22i1.8035","article-title":"Factors influencing for severity of road traffic accidents in Sri Lanka","volume":"22","author":"Kodithuwakku","year":"2021","journal-title":"Sri Lankan J Appl Stat"},{"key":"ref10","series-title":"Robotics and Rehabilitation Intelligence: First International Conference, ICRRI 2020","first-page":"20","article-title":"Power control algorithm of D2D communication based on non-cooperative game theory","author":"Li","year":"2020 Sep 9\u201311"},{"key":"ref11","series-title":"53rd Asilomar Conference on Signals, Systems, and Computers","first-page":"1125","article-title":"Congestion control mechanisms in IEEE 802.11p and sidelink C-V2X","author":"Bazzi","year":"2019"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"4899","DOI":"10.1109\/JIOT.2024.3447036","article-title":"Distributed deep reinforcement learning based gradient quantization for federated learning enabled vehicle edge computing","volume":"12","author":"Zhang","year":"2025","journal-title":"IEEE Internet Things J"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"4179","DOI":"10.1109\/TNSM.2024.3403842","article-title":"Cooperative edge caching based on elastic federated and multi-agent deep reinforcement learning in next-generation networks","volume":"21","author":"Wu","year":"2024","journal-title":"IEEE Trans Netw Serv Manag"},{"key":"ref14","series-title":"32nd IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","first-page":"1","article-title":"Deep reinforcement learning based congestion control for V2X communication","author":"Roshdi","year":"2021"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"38521","DOI":"10.1109\/JIOT.2024.3448538","article-title":"Semantic-aware spectrum sharing in internet of vehicles based on deep reinforcement learning","volume":"11","author":"Shao","year":"2024 Dec","journal-title":"IEEE Internet Things J"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"103862","DOI":"10.1109\/ACCESS.2021.3097942","article-title":"Game theory based congestion control for routing in wireless sensor networks","volume":"9","author":"Hu","year":"2021","journal-title":"IEEE Access"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"3954","DOI":"10.1109\/JIOT.2021.3101941","article-title":"A noncooperative gaming approach for control packet transmission in 6TiSCH network","volume":"9","author":"Kalita","year":"2021","journal-title":"IEEE Internet Things J"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"6328","DOI":"10.1109\/TNSE.2024.3443099","article-title":"GTCC: a game theoretic approach for efficient congestion control in datacenter networks","volume":"11","author":"Liu","year":"2024","journal-title":"IEEE Trans Netw Sci Eng"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"102181","DOI":"10.1016\/j.adhoc.2020.102181","article-title":"Non-cooperative game based congestion control for data rate optimization in vehicular ad hoc networks","volume":"107","author":"Amer","year":"2020","journal-title":"Ad Hoc Netw"},{"key":"ref20","series-title":"IEEE 17th International Conference on Intelligent Transportation Systems (ITSC)","first-page":"2584","article-title":"Driving risk assessment using cluster analysis based on naturalistic driving data","author":"Zheng","year":"2014"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"106836","DOI":"10.1016\/j.aap.2022.106836","article-title":"Real-time driving risk assessment using deep learning with XGBoost","volume":"178","author":"Shi","year":"2022","journal-title":"Acc Anal Preven"},{"key":"ref22","first-page":"272","article-title":"Research on road safety situation assessment and prediction under accident conditions","volume":"15","author":"Zhu","year":"2019","journal-title":"J Highway Trans Res Develop"},{"key":"ref23","series-title":"9th IEEE Annual Computing and Communication Workshop and Conference (CCWC)","first-page":"1032","article-title":"Evaluation of DSRC and LTE for V2X","author":"Bey","year":"2019"},{"key":"ref24","unstructured":"Singh S. Critical reasons for crashes investigated in the national motor vehicle crash causation survey. 2015 [cited 2025 Feb 11]. Available from: https:\/\/crashstats.nhtsa.dot.gov\/Api\/Public\/Publication\/812115."},{"key":"ref25","doi-asserted-by":"crossref","first-page":"348","DOI":"10.3390\/wevj14120348","article-title":"Review of intelligent vehicle driving risk assessment in multi-vehicle interaction scenarios","volume":"14","author":"Xiong","year":"2023","journal-title":"World Elect Veh J"},{"key":"ref26","first-page":"802","article-title":"Convolutional LSTM network: a machine learning approach for precipitation nowcasting","volume":"28","author":"Shi","year":"2015","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"599","DOI":"10.26599\/TST.2020.9010061","article-title":"Spatial-temporal ConvLSTM for vehicle driving intention prediction","volume":"27","author":"Huang","year":"2021","journal-title":"Tsinghua Sci Technol"},{"key":"ref28","series-title":"Proceedings of SIMUL 2011, The Third International Conference on Advances in System Simulation","article-title":"SUMO\u2014simulation of urban mobility: an overview","author":"Behrisch","year":"2011"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"272","DOI":"10.3390\/electronics9020272","article-title":"Computer network simulation with ns-3: a systematic literature review","volume":"9","author":"Campanile","year":"2020","journal-title":"Electronics"},{"key":"ref30","unstructured":"Gro\u00dfe P, Schneider C, Sommerkorn G, Thom\u00e4 R. A hybrid channel model based on WINNER for vehicle-to-X application. arXiv:1601.05929. 2016."}],"container-title":["Computers, Materials &amp; Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/cdn.techscience.cn\/files\/cmc\/2025\/TSP_CMC-83-2\/TSP_CMC_60392\/TSP_CMC_60392.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T01:04:35Z","timestamp":1763341475000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v83n2\/60531"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":30,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025]]},"published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2025.060392","relation":{},"ISSN":["1546-2226"],"issn-type":[{"type":"electronic","value":"1546-2226"}],"subject":[],"published":{"date-parts":[[2025]]}}}