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The Design and Implementation of Urban Rail Transit Driving Simulation System Based on Real Scene

机译:基于实景的城市轨道交通驾驶模拟系统的设计与实现

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Driving simulation systems in urban rail transit are widely used in teaching demonstration, pre-service training and engineering theory research or other fields. The high-precision, large-scale, real-time interaction of simulation has been a goal of researchers. How to coordinate these parameters according to demand, and optimize algorithms and frameworks are currently a hot research. This paper presents the idea of using real scene modeling technique to develop large-scale urban rail transit driving simulation system. Real scene modeling technique has many advantages, including 1) Strong sense of the scene and high experience, 2) The process of production is simple and fast, 3) High scalability and compatibility. Accordingly, designed system can achieve these features: multi-train and multi-line's co-simulation, real-time interactive experience of user and different-location synchronous compatibility. This paper focused on solving massive real-scene data processing, construction and real-time synchronous adjustment of timeline, automatic generation technique about the real-scene model of large-scale rail network, and other technologies. In the case of Fangshan line Beijing. The design includes collection, filter and process of data; implementation and deployment of the system, effectiveness analysis and other embodiments of the steps. The results show that: the plan and system this paper designed can be implemented, taking into account the balance of precision and efficiency, and has a strong promotional value.
机译:城市轨道交通中的驾驶模拟系统广泛应用于教学演示,职前培训和工程理论研究等领域。仿真的高精度,大规模,实时交互已成为研究人员的目标。如何根据需求协调这些参数以及优化算法和框架是当前的热门研究。本文提出了使用真实场景建模技术开发大型城市轨道交通驾驶模拟系统的想法。真实场景建模技术具有很多优点,包括:1)强烈的场景感和丰富的经验; 2)生产过程简单,快速; 3)高度可伸缩性和兼容性。因此,设计的系统可以实现以下功能:多火车和多线路的协同仿真,用户的实时交互体验以及不同位置的同步兼容性。本文着重解决海量实景数据处理,时间线的构建和实时同步调整,大型铁路网实景模型自动生成技术等技术。以房山专线北京为例。设计包括数据的收集,过滤和处理;系统的实施和部署,有效性分析和其他步骤实施例。结果表明:本文设计的方案和系统可以在兼顾精度和效率之间实现,具有较强的推广价值。

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