网联车混合交通流协同分配与专用道柔性规划研究

混合交通流分配和路网设计是实现网联车与非网联车混合交通流系统优化、均衡组织的两个关键技术难题。网联车专用道被认为是目前处理混合交通流的有效策略，但尚缺乏网联车和非网联车随机均衡协同分配以及不确定网联车专用道柔性规划的深入研究。本项目结合不确定理论和动态规划理论，重点研究混合交通流协同分配和网联车专用道柔性规划方法的基础理论与关键技术。主要内容包括：（1）研究不确定混合交通流协同均衡方法；（2）建立考虑能耗的网联车专用道多目标规划模型；(3)构建多维不确定网联车专用道网络柔性规划模型；(4)搭建面向网联车混合交通流的仿真平台，验证提出理论与方法的有效性和合理性。研究成果将为混合交通流分配、网联车专用道规划等智能网联交通系统规划工作提供理论依据和技术支持。

Mixed traffic flow assignment and road network design are two key challenges for the system optimization and traffic equilibrium of the mixed traffic flow consisting of connected vehicles and human-driven vehicles. At present, the connected vehicle lane is considered to be an effective strategy for dealing with mixed traffic flows, but researches on the coordinated assignment of connected vehicles and human-driven vehicles and the flexible planning of connected vehicle lane under uncertainty are insufficient. In this study, we focus on the basic theories and key technologies of the mixed traffic flow collaborative assignment problem and the flexible planning method of connected vehicle lane, based on uncertainty and dynamic planning approaches. The main contents include: (1) the traffic flow coordinated assignment method of mixed traffic flow under uncertainty; (2) a multi-objective planning model for the connected vehicle dedicated lane considering energy consumption; (3) a flexible network planning model for connected vehicle dedicated lane under multi-dimensional uncertainty; (4) a simulation platform for mixed traffic flow used to verify the validity and rationality of the proposed theories and methods. This study will provide theoretical approaches and technical methods for the intelligent network transportation system planning, such as mixed traffic flow assignment and connected vehicle lane planning.