边缘计算环境下智能车联网任务卸载与资源分配协同优化研究

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中图分类号：U462 收稿日期：2025-04-20 DOI： 10.19999/j.cnki.1004-0226.2025.08.009

Collaborative Optimization of Task Unloading and Resource Allocation of intelligent Internet of Vehicles in Edge Computing Environment

Zhu Yanyan Qin XiaoleiFu Zhao Shi Jinhong Science and Technology College of Hubei University of Arts and Science，Xiangyang 441025，China Abstract：Therapiddevelopmentofintelligentconnectedvehicles poses aseverechallenge tothecomputingcapabilitiesof vehicles，andtraditionalcloudcomputingmodelsareunabletomeetreal-timerequirementsdue totansmissondelays.Edgecomputing，by deployingdistribtedodesatteedgeoftenetwork，provdesnarprocesingcapabilityforvehicletasksndbecoesthkeytech nologtsolvethisproblem.Focusingonthecollbrativeoptimzatiooftaskuloadingandresouealocationoftheinteetofvecles intheedgecomputingenvironment，thispapersystematicallanalyzestheelevanttheoreticalbasisandresearchstatus，buildsa collaborativeoizationmodel itegatigdnaicseearacteristis，anddiscuesitsapplicationaluininteligenttraspta tion，providing theoretical and technical reference for improving the performance ofthe Internet ofvehicles system.

Keywords：Edgecomputing;Intelligentvehiclenetworking;Taskuinstallation;Resourceallocation;Collaborativeotation

1前言

随着5G、人工智能与物联网技术的深度融合，智能车联网正从概念走向规模化应用。（剩余3488字）