基于行人流线网络的轨道交通枢纽客流-设施协同管控方法研究

In this project,the urban rail transit hub facilities set is abstracted as the pedestrain streamline network by considering the facility layout and configuration and the pedestrian streamline orgnization,"controllable facilities" are abstracted as the adjustable nodes and edges.Targeting at improving the transfer efficiency of the rail transit hub in the permise of safety,and selecting the stability analysis and optimization controlling of pedestrian streamline network in transit hub as the master research line,this project integrates multiple source information of passenger demand and the information of hub operation state,and utilizes multidisciplinary theories and methods, such as systems engineering, nonlinear analysis methods,complex network theory and cybernetics,to analyze the time-space evolution pattern of pedestrian flow. On this basis,the transition pattern of the pedestrian streamline network state is studied in depth by considering the influence of the pedestrian steamline organization and the facilities layout and configurantion.An optimization model of the controlling parameters of passengers and facilities cooperation in the state space of streamline network is developed,and thus the optimization control strategies of passenger and facities coorperation can be generated by the model solution.The results can provide theoretical and technical support for paseengers orgnization and facilities arraignment of urban rail tranporst hubs.

本项目将城市轨道交通枢纽设施布局与配置以及行人流线组织约束下的设施集合抽象为行人流线网络，"可控制设施"抽象为行人流线网络上可调节的节点或边，在安全的前提下以高效发挥枢纽系统换乘功能为目标，以轨道交通枢纽行人流线网络状态稳定性分析及优化控制为研究主线，融合多源的客流需求信息、枢纽运行状态信息，采用系统工程理论、非线性科学分析方法、复杂网络理论和控制论等多学科理论与方法，解析轨道交通枢纽内行人流的时空演化特性，在此基础上对行人流线组织、设施布局与配置等因素影响下的枢纽行人流线网络运行状态的迁移规律进行深入研究，建立行人流线网络状态空间的客流与设施协同管控参数寻优模型，通过模型求解确定客流与设施协同管控最优策略。研究成果将为轨道交通枢纽客流组织和设施配置提供科学的理论依据和技术支持。

本项目以轨道交通枢纽行人流线网络状态估计及优化控制为研究主线，融合多源的客流需求信息、枢纽运行状态信息，采用系统工程理论、非线性科学分析方法、复杂网络理论和控制论等多学科理论与方法，解析轨道交通枢纽内行人流的时空演化特性，在此基础上对设施配置与行人流线组织、行人流状态估计进行深入研究，通过重构行人微观仿真模型体系，以多场景下行人流微观仿真实验支撑客流与设施协同管控策略优化研究。本项目研究在行人流混沌特性分析、多源数据下行人流预测与状态估计、行人流微观仿真模型体系重构及复杂场景下客流-设施协同管控方案仿真实现等方面取得了重要进展，研究成果将为轨道交通枢纽客流组织和设施配置提供科学的理论依据和技术支持。