数字孪生驱动的城市综合交通枢纽多运输方式调度协同优化框架研究  

Research on Collaborative Dispatching Optimization Framework of Multi Mode Scheduling of Urban Comprehensive Transportation Hub Driven by Digital Twins

作　　者：郑国荣[1] 刘小明[1] 沈晖 张明岩 

机构地区：[1]北方工业大学

出　　处：《自动化博览》2020年第12期30-35,共6页Automation Panorama1

摘　　要：城市综合交通枢纽各运输方式协同调度对于提高枢纽运输能力协调性乃至运营安全性等具有重要意义。本文面向城市综合交通枢纽各运输方式协同调度优化问题,在对国内外研究现状分析的基础上,从关联物理模型知识表达与自适应学习、虚拟模型构建及校正、客流换乘量在线预测、多运输方式调度协同优化几方面出发,提出了数字孪生驱动的城市综合交通枢纽多运输方式调度协同优化研究框架,并对其中的关键技术进行了总结说明。上述研究框架对于后续城市综合交通枢纽多运输方式调度协同优化方法的进一步探索有一定的参考价值。The coordinated dispatch of various transportation modes in an urban comprehensive transportation hub is of great significance to improve the coordination of the transportation capacity of the hub and even the safety of operations.This paper is aimed at the coordinated scheduling optimization problem of various transportation modes in urban comprehensive transportation hubs.Based on the analysis of the current research status at home and abroad,this paper proposes a digital twin driven urban integrated transport hub based on the knowledge representation and adaptive learning of the associated physical model,the construction and correction of virtual models,the online prediction of passenger transfers volume,and the collaborative optimization of multi-transportation scheduling.This paper proposes a research framework for collaborative optimization of multi-transport mode dispatching in urban integrated transportation hubs driven by digital twins,and summarizes the key technologies.The above-mentioned research framework has a certain reference value for the further exploration of the coordinated optimization method of multi-transportation mode scheduling of urban comprehensive transportation hubs.

关 键 词：数字孪生 综合交通枢纽 多运输方式 协同优化 

分 类 号：U116-39[交通运输工程]