首页|商用车营运大数据在行业监管中的应用探究

商用车营运大数据在行业监管中的应用探究

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随着时代的发展,交通行业监管越来越趋向于精细化、精准化、高效率,近几年快速发展起来的商用车车联网产生了海量的大数据,为交通行业监管变革提供了可能.针对当前交通行业监管中一些场景下的违规查处难、日常运营管理薄弱等问题,提出基于商用车营运大数据的应用手段,通过数据赋能,实现商用车车联网大数据在驾驶行为分析、站外带客监管、非法堆场监管及驾驶安全培训等方面的深度应用,改变现有行业监管中的手段不足、执法不精准问题,推动传统执法监管方式向数字治理模式转变,提升行业监管的精准性和高效性.
Exploration of the Application of Commercial Vehicle Operation Big Data in Industry Supervision
With development of the times,the supervision of transport tends to be more refined,precise and efficient.The rapid growing IOV(Internet of Vehicles)big data of commercial vehicle in recent years provides the possibility for traffic regulation reform.Based on difficult of investigation and punishment weakness of daily operation management of some scenarios in the transportation field,this paper proposes some methods which implement deep application of IOV big data in driving behavior analysis,off-site passenger supervision,illegal yard supervision,and driver safety training.The methods change insufficient and improve accuracy and efficiency in traditional industry supervision by data empowerment,and promote the transformation of traditional law enforcement and regulatory methods to a digital governance model.

Commercial vehicleBig dataIndustry supervisionViolation investigateOperation management

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上海市道路运输事业发展中心,上海 200023

商用车 大数据 行业监管 违规查处 运营管理

2024

交通与运输
上海市交通工程学会

交通与运输

影响因子:0.342
ISSN:1671-3400
年,卷(期):2024.40(5)