Modelling mixed traffic of traditional, connected, and automated vehicles

对传统车辆、互联车辆和自动化车辆的混合交通进行建模

• 批准号: DE160100449
• 负责人: Prof Zuduo Zheng
• 金额: $ 23.55万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-04-18 至 2019-12-12
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE160100449
• 关键词: Modelling; mixed; traffic; traditional; connected

This project plans to address the challenge of efficiently operating mixed traffic flow of traditional, connected and automated vehicles. The rapid advancement of technologies is currently turning connected and automated vehicles from science fiction into science fact. However, there are no existing traffic flow models capable of reproducing features of mixed traffic flow consisting of traditional, connected and automated vehicles. This project aims to address this knowledge deficit and develop an analytical tool able to accurately model mixed traffic flow. This new knowledge and model are prerequisites to effective operation and control of traffic flow of traditional, connected and automated vehicles.

该项目计划应对有效运行传统，连接和自动化车辆的混合交通流量的挑战。技术的迅速发展目前正在将科幻小说的连接和自动化车辆转变为科学事实。但是，没有现有的交通流量模型能够重现由传统，连接和自动化车辆组成的混合交通流量的功能。该项目旨在解决这种知识不足并开发能够准确模拟混合交通流量的分析工具。这种新知识和模型是有效运行和控制传统，连接和自动化车辆的交通流量的先决条件。