我国智能运输的发展研究-以“中远”为例

Ⅰ摘要在全球智能运输技术蓬勃发展的背景下，我国运输业也展现出了智能化、信息化、集成化的显著特征，自动驾驶技术、物联网追踪系统、大数据分析以及云计算与大数据的整合等关键技术在提升运输效率、改善服务质量方面发挥着核心作用，“中远”作为我国运输业的佼佼者，积极投入智能运输技术的研发与应用，包括自动驾驶技术的实际道路测试、物联网追踪系统的全面部署以及大数据分析在运输决策中的深度融入，因此本文选取“中远”为案例，期望通过其智慧交通的实践探索为我国运输业的智慧化转型提供一定的参考。本文运用文献研究法、内容分析法和因素分析法对智能交通、物流信息化、物联网技术、大数据和人工智能在物流中的运用进行了大量的调研，总结了智能交通的相关理论并对“中远”公司在智能交通领域的实际应用进行了深入的剖析，本文主要研究“中远”公司是如何利用无人驾驶、物联网跟踪系统、大数据分析等智能化方法大幅提高货运效率与服务品质、推动物流过程向智慧化转变。同时本项目还对“中远”公司在应用智能交通方面存在的技术局限性、安全与隐私问题、技术费用与回报周期等问题进行了深入的研究并提出相应的对策，帮助“中远”提高货运效率和顾客体验的同时也促进交通产业向智慧化转变，为推动我国交通产业向智慧交通的深入发展提供新的思路和方法从而推动其更广泛的应用和更深层次的融合，提高我国交通系统的效率、安全性和环境效益。关键词：中国智能运输发展；自动驾驶技术；智能运输系统ⅡABSTRACTAgainstthebackdropoftheboomingdevelopmentofglobalintelligenttransportationtechnology,China'stransportationindustryhasalsodemonstratedsignificantcharacteristicsofintelligence,informatization,andintegration.Keytechnologiessuchasautonomousdrivingtechnology,IoTtrackingsystems,bigdataanalysis,andtheintegrationofcloudcomputingandbigdataplayacoreroleinimprovingtransportationefficiencyandservicequality.AsaleaderinChina'stransportationindustry,COSCOactivelyinvestsintheresearchandapplicationofintelligenttransportationtechnology,includingactualroadtestingofautonomousdrivingtechnology,comprehensivedeploymentofIoTtrackingsystems,anddeepintegrationofbigdataanalysisintransportationdecision-making.Therefore,thisarticleselectsCOSCOasacasestudy,hopingtoprovidesomereferencefortheintelligenttransformationofChina'stransportationindustrythroughitspracticalexplorationofintelligenttransportation.Thisarticleusesliteratureresearch,contentanalysis,andcaseanalysismethodstoconductextensiveresearchontheapplicationofintelligenttransportation,logisticsinformatization,InternetofThingstechnology,bigdata,andartificialintelligenceinlogistics.Itsummarizestherelevanttheoriesofintelligenttransportationanddeeplyanalyzesthepracticalapplicationof"COSCO"companyinthefieldofintelligenttransportation.Thisarticlemainlystudieshow"COSCO"companyusesintelligentmethodssuchasunmanneddriving,InternetofThingstrackingsystems,andbigdataanalysistosignificantlyimprovefreightefficiencyandservicequality,andpromotethetransformationoflogisticsprocessestowardsintelligence.Atthesametime,thisprojectalsoconductedin-depthresearchonthetechnicallimitations,safetyandprivacyissues,technicalcostsandreturncyclesof"COSCO"intheapplicationofintelligenttransportation,andproposedcorrespondingcountermeasurestohelp"COSCO"improvefreightefficiencyandcustomerexperience,whilealsopromotingthetransformationofthetransportationindustrytowardsintelligence.ItprovidesnewideasandmethodstopromotethedeepdevelopmentofChina'stransportationindustrytowardsintelligenttransportation,promoteitswiderapplicationanddeeperintegration,andimprovetheefficiency,safety,andenvironmentalbenefitsofChina'stransportationsystem.Keywords:DevelopmentofIntelligentTransportationinChina;Autonomousdrivingtechnology;IntelligentTransportSystem-18-参考文献段丽梅.智能运输调度系统在物流配送中的应用[J].中国航务周刊,2024,(31):91-93.于清钧,丛威东.铁路物流运输系统信息化建设探讨[J].中国航务周刊,2024,(29):60-62.党天祥,王亮,张祎,等.铁路物流运输系统信息化建设探讨[J].物流工程与管理,2023,45(09):117-119.本刊讯.中远海运港口汽车供应链平台上线[J].中国航务周刊,2023,(16):22.朱雪峰.向光而行——中远海运集团深入贯彻落实习近平总书记重要指示批示精神纪实[J].中外企业文化,2022,(10):18-23.武海珍.基于能值的区域物流运输系统生态情景仿真分析[D].北京华北电力大学,2022.李豫杰.“一带一路”倡议背景下中远集团海外发展对策研究[J].河北企业,2022,(05):10-13.石琳琳,常志有.我国物流运输系统建设对进出口贸易的影响[J].合作经济与科技,2022,(02):96-98.卢从元.中远海运集装箱运输营销策略研究[D].新疆维吾尔自治区石河子大学,2021.王爽,余涵.智能运输系统的发展与应用[J].交通世界,2019,(21):8-9.MahmoudS.EmergingCutting-EdgeDevelopmentsinIntelligentTrafficandTransportationSystems[M].IOSPress:2024-02-19.ZhihanL,WenlongS.Impactsofintelligenttransportationsystemsonenergyconservationandemissionreductionoftransportsystems:Acomprehensivereview[J].GreenTechnologiesandSustainability,2023,1(1).IslamNJ,HairoladenanK,A.MM.TowardstheDevelopmentofSmartandSustainableTransportationSystemforFoodserviceIndustry:ModellingFactorsInfluencingCustomer’sIntentiontoAdoptDroneFoodDelivery(DFD)Services[J].Sustainability,2022,14(5):2852-2852.V.VO,B.BK,V.GG,etal.ModernTrendsinArtificialIntelligenceintheTransportSystem[J].Tra