智能网联环境下混行交通流的Ising动力学仿真建模研究

The transportation system in the ICV environment is a complex dynamic system which is composed of many vehicles in different intelligentized levels. There are many complicated relationships among cars, lanes, or vehicle groups, which are casual& random or synergetic & interactive. How to simulate the dynamic characteristics of the mixed traffic flow in the ICV environment and to reveal traffic phase transition mechanism has been a hot spot in the research field of traffic flow simulation. This project intends to study on the simulating method of mixed traffic flow by using Ising dynamics model. We will analyze and describe the multi-scale driving environment which covers constraints from vehicles, lanes, and the synergetic Information in the connected vehicles environment. Then the dynamic characteristics of mixed traffic flow under the coupling constraint from independent driving and external field will be simulated, and a system for mixed traffic flow simulation in the ICV circumstance will be constructed. By revealing the characteristics of mixed traffic flow under different intelligentized levels and different proportions of intelligent vehicles, we can deduce the occurrence, spread and dissipation of traffic congestion from multiple dimensions and disclose the traffic phase transition mechanism. Then a set of efficient solutions for traffic congestion alleviation can be presented, and the implementation effect will be simulated and evaluated. The research results could provide the systematic theory basis, efficient simulation tools and scientific decision supports for enacting effective traffic management strategies. The research findings could facilitate the alleviating of traffic congestion and the sustainable development of urban transportation system.

智能网联环境下的交通系统是由众多不同智能化水平车辆混合而成的动态系统，其中存在着车辆间、行车带间和车辆群体间的或偶然随机或协同交互的复杂作用关系。仿真分析智能网联环境下混行交通流的动力学特征，解析混合交通流的拥堵相变机理，是近年来交通仿真研究的热点。本项目拟研究混行车流的Ising动力学建模方法，描述由车辆间约束、行车带间影响、网联信息诱导等组成的多尺度混流行车场环境，拟合在自主行驶和外场耦合约束下混行交通流的动力学特征，构建智能网联环境下混行交通流仿真系统，揭示不同的智能化水平和智能车占比下的混行交通流特征，多维度推演拥堵的发生、蔓延和消散进程，解析拥堵相变机理，提出切实可行的拥堵防控措施，仿真评价措施的实施效果。通过为管理者提供智能网联环境下高效的混行交通流仿真分析工具，为诊断交通问题、制定合理的管控措施、缓解拥堵、促进交通可持续发展提供系统的理论基础、高效的仿真工具和科学的决策支持。

智能网联环境下的交通系统是由众多不同智能化水平车辆混合而成的动态系统，其中存在着车辆间、行车带间和车辆群体间的或偶然随机或协同交互的复杂作用关系。仿真分析智能网联环境下混行交通流的动力学特征，解析混合交通流的拥堵相变机理，是近年来交通仿真研究的热点。本项目拟研究混行车流的Ising动力学建模方法，描述由车辆间约束、行车带间影响、网联信息诱导等组成的多尺度混流行车场环境，拟合在自主行驶和外场耦合约束下混行交通流的动力学特征，构建智能网联环境下混行交通流仿真系统，揭示不同的智能化水平和智能车占比下的混行交通流特征，多维度推演拥堵的发生、蔓延和消散进程，解析拥堵相变机理，提出切实可行的拥堵防控措施，仿真评价措施的实施效果。通过为管理者提供智能网联环境下高效的混行交通流仿真分析工具，为诊断交通问题、制定合理的管控措施、缓解拥堵、促进交通可持续发展提供系统的理论基础、高效的仿真工具和科学的决策支持。