数据驱动的城市道路交通系统优化

发布时间:2024-04-22        浏览量:10

时间:2024年4月24日(星期三)14:00-15:00

地点:经管大楼A楼 四楼第二会议室报告厅

主题:数据驱动的城市道路交通系统优化(Data-Driven Optimization of Urban Road Traffic Systems)

主讲人:王嘉文(8087金沙娱场城)

简介:王嘉文,交通系统工程系副教授,同济大学博士。研究方向包括城市道路交通系统管理控制优化、多模式混行交通流交互机制解析与优化、人工-自动驾驶混合交通流建模与优化等,近5年主持科研项目9项,包括主持国家级项目1项,省部级项目3项,上海市科促会、上海市城市建设设计研究总院等各类企业委托项目5项。第一或通讯作者在交通领域主流学术期刊发表论文40余篇,其中SCI/SSCI论文20余篇。

Wang Jiawen, an associate professor in the Department of Transportation Systems Engineering and a Ph.D. graduate from Tongji University, specializes in several research areas including the optimization of urban road traffic system management and control, the analysis and optimization of multi-modal mixed traffic flow interaction mechanisms, and the modeling and optimization of CAV-HDV mixed traffic flows. Over the past five years, Professor Wang has led nine scientific research projects. Additionally, he has published over 40 papers in transportation  academic journals as the first or corresponding author, including more than 20 SCI/SSCI papers.

摘要:报告从当前城市道路交通系统管控复杂性出发,首先阐明了数据驱动的交通管理与控制系统数据、策略、算法三要素关系。进而,梳理了交通数据与管控策略发展趋势与现存问题,介绍了数据驱动的额城市道路交通管控基本方法,并分别从可靠性分析、节点时空协同控制、宏观边界控制、路径诱导、宏微观建模仿真等方面介绍了数据驱动的交通管控应用。通过集成上述应用,实现了数据驱动的城市交通全生命周期治理,所形成成果支撑了上海、浙江、山东、四川、河北等60余个城市的交通组织及信号控制优化系统建设,产生了显著的社会经济效益。

Starting from the complexity of current urban road traffic system management and control, this report first clarifies the relationship between the three essential elements of data-driven traffic management and control systems: data, strategies, and algorithms. Furthermore, it summarizes the development trends and existing problems of traffic data and control strategies, introduces the basic methods of data-driven urban road traffic control, and presents the applications of data-driven traffic control in terms of reliability analysis, spatio-temporal collaborative control of nodes, macro boundary control, route guidance, macro and micro modeling and simulation. By integrating the aforementioned applications, data-driven full life-cycle management of urban traffic has been achieved. The results support the construction of traffic organization and signal control optimization systems in more than 60 cities in Shanghai, Zhejiang, Shandong, Sichuan, Hebei, resulting in significant socio-economic benefits.