传感器世界2024,Vol.30Issue(3) :14-18,26.DOI:10.16204/j.sw.issn.1006-883X.2024.03.003

城市交通轨道车辆管控虚拟重构方法设计

Design of Virtual Reconstruction Method of Urban Traffic Rail Vehicle Control

龙雄辉 苏丹
传感器世界2024,Vol.30Issue(3) :14-18,26.DOI:10.16204/j.sw.issn.1006-883X.2024.03.003

城市交通轨道车辆管控虚拟重构方法设计

Design of Virtual Reconstruction Method of Urban Traffic Rail Vehicle Control

龙雄辉 1苏丹1
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作者信息

  • 1. 广州铁路职业技术学院,广东广州 510430
  • 折叠

摘要

为确保自动驾驶车辆在道路交通环境中的安全性,并实现对其整体化和精准化组织调度,文章引入了虚拟车辆管控理论,深入研究了城市交通轨道车辆的虚拟管控重构方法.该方法采用多目标排序方式,对交通轨道上的车辆进行虚拟重构,设计了一种多目标虚拟线路交通轨道重构策略.此外,构建了轨道交通车辆的虚拟调度重构模型,并通过动态交互处理方式实现了虚拟调度的计算.经过测试验证,在不同路段的时间控制下,该方法表现出良好的实时请求接受和处理能力,实时请求接受率超过1.2%,证明了其高性能和高效率.同时,虚拟重构的车辆平均行驶速度误差控制在3.2%以内,体现了其高精准性.

Abstract

To ensure the safety of autonomous vehicles in road traffic environments and achieve their integrated and precise organizational scheduling,the paper introduces the theory of virtual vehicle management and control,and conducts in-depth research on the virtual management and control reconstruction method for urban transit vehicles.The method adopts a multi-objective sorting approach to virtually reconstruct vehicles on traffic tracks,designing a multi-objective virtual line traffic track reconstruction strategy.In addition,the paper constructs a virtual scheduling reconstruction model for rail transit vehicles and implements virtual scheduling calculations through dynamic interactive processing.After testing and verification,under the time control of different road sections,the method demonstrates good real-time request acceptance and processing capabilities,with a real-time request acceptance rate exceeding 1.2%,proving its high performance and efficiency.At the same time,the average speed error of the virtually reconstructed vehicles is controlled within 3.2%,demonstrating its high precision.

关键词

城市轨道/轨道交通/车辆控制/虚拟重构/重构算法/算法设计

Key words

urban rail/rail transit/vehicle control/virtual reconstruction/reconstruction algorithm/algorithm design

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基金项目

广州市科学技术局2022年基础研究计划项目(202201011655)

出版年

2024
传感器世界
北京信息科技大学

传感器世界

影响因子:0.196
ISSN:1006-883X
参考文献量10
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