近几年数字孪生技术逐渐成熟,已经在多个行业领域得到广泛的应用。随着近几年新能源汽车的不断推广,我国机动车保有量迅速增长。据公安部统计,全国机动车保有量从2020年的2.81亿辆猛增到2023年的4.35亿辆。如此庞大规模的汽车数量对于我国交通治理来说是一个巨大的挑战,仅靠传统的治理手段已经很难跟上社会需求的变化,采用人工智能、数字孪生等新技术,拓展相关应用场景,从而提升治理水平将是必然。目前,数字孪生技术已经在交通行业中有较为广泛的应用,数字孪生对交通运输方式、交通要素组织、交通治理方式产生了重大影响,打破了传统隔阂,突破物理条件限制,带来交通治理效率的大幅提升。本研究将立足于分析数字孪生技术与交通治理的契合点,探讨数字孪生技术在交通治理领域的应用情况和未来发展趋势。
In recent years,digital twin technology has matured and found wide application across multiple industries. With the proliferation of new energy vehicles,China’s vehicle population has rapidly grown,posing significant challenges to traffic governance. Traditional methods have struggled to adapt to these changes,making the adoption of new technologies like AI and digital twins,along with expanding application scenarios,an inevitable trend. Digital twins have already had a substantial impact on transportation modes,organization of transportation elements,and traffic governance,breaking down barriers and enhancing efficiency. This research aims to analyze the intersection of digital twin technology and traffic governance,exploring its applications and future trends.
| Keywords: | AIDigital TwinTraffic Governance |