车路协同系统的视景仿真模型

上官伟; 郭弘倩; 刘朋慧; 蔡伯根; 王剑

doi:10.19818/j.cnki.1671-1637.2015.03.014

车路协同系统的视景仿真模型

doi: 10.19818/j.cnki.1671-1637.2015.03.014

上官伟^{1, 2, 3,},
郭弘倩¹,
刘朋慧¹,
蔡伯根¹,
王剑^{1, 2}

1.
北京交通大学电子信息工程学院，北京 100044
2.
北京交通大学轨道交通控制与安全国家重点实验室，北京 100044
3.
伦敦大学学院交通技术研究中心，伦敦 WC1E 6BT

基金项目:

国家863计划项目 2011AA110405

国家自然科学基金项目 61273089

国家自然科学基金项目 U1334211

中央高校基本科研业务费专项资金项目 2012JBZ009

中央高校基本科研业务费专项资金项目 2013JBM007

北京高等学校“青年英才计划”项目 YETP0538

详细信息

作者简介:
上官伟(1979-), 男, 陕西乾县人, 北京交通大学副教授, 工学博士, 从事智能交通系统研究

中图分类号: U495
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- 被引次数: 0
出版历程
- 收稿日期: 2014-12-27
- 刊出日期: 2015-06-20

Visual simulation model of CVIS

1.
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
2.
State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
3.
Centre for Transport Studies, University CollegeLondon, London WC1E 6BT, UK

More Information

Author Bio:
SHANGGUAN Wei(1979－), male, associate professor, PhD, +86－10－51687111, wshg@bjtu.edu.cn

Article Text (Baidu Translation)

摘要

摘要: 在车路协同系统仿真的基础上, 以局部交通网络的实时交通仿真为例, 建立了车路协同系统视景仿真模型库, 确立了视景仿真系统的框架体系结构。将视景仿真集成为整个仿真系统的一个联邦成员, 建立了车车信息交互、车路信息交互的典型视景仿真功能模型。使用LOD模型简化技术对视景仿真功能模型进行分解, 生成了5个不同精细程度的LOD模型。采用DOF、LOD、Switch功能化节点, 从节点结构上优化了典型应用场景中的交叉口信号灯、车辆运动等相关模型, 建立了一套类似模型几何形状的层级节点结构。构建了车路协同系统可视化视景仿真平台, 包括HLA/RTI信息交互与控制模块、车路协同数据处理模块、信息交互模块、模型引导控制模块、视角动态切换模块与模型状态参数动态显示模块。采用建模优化相关技术, 对典型交通场景进行了视景仿真。仿真结果表明: 通过LOD模型简化技术, 模型简化率最高可达95.5%, 内存占用减少86.3%;通过视景仿真方法的使用, 提高了渲染效率与系统仿真效率, 车路协同典型交通场景验证了仿真方法的可行性。
- 智能交通系统 /
- 车路协同系统 /
- HLA /
- RTI /
- 信息交互 /
- 节点优化 /
- 视景仿真
Abstract: Based on the simulation of cooperative vehicle-infrastructure system(CVIS), the realtime traffic simulation of local region traffic network was taken as an example, the visual simulation model library of CVIS was constructed, and the infrastructure and framework of visual simulation system were established.Visual simulation was integrated as a federate member of whole simulation system, and the typical visual simulation functional models for vehicle-vehicle and vehicle-infrastructure information interactions were built.The visual simulation functional models were divided by using LOD reduction technique, and 5LOD models with different detail degrees were built.By using the functional nodes of DOF, LOD and switch, the related models like intersection signal lamp and vehicles movement in the typical application scenarios were optimized based on node structure, and a similar model geometry node hierarchy structure was constructed.CVIS visual simulation platform including HLA/RTI information interaction andcontrol module, vehicle-infrastructure cooperative data processing module, information interaction module, model guidance and control module, view angle switching module and dynamic display module of model status parameters were constructed.Typical traffic scenario was visually simulated by using modeling optimization technique.Simulation result indicates that by using LOD reduction technique, the model reduction ratio reaches 95.5%, and memory occupancy ratio decreases by 86.3%.By using visual simulation method, rendering efficiency is improved, the efficiency of system simulation is accelerated, and the feasibility of simulation method is verified at typical cooperative vehicle infrastructure scenario.
- intelligent transportation system /
- cooperative vehicle-infrastructure system /
- high-level architecture /
- run time infrastrusture /
- information interaction /
- node optimization /
- visual simulation

HTML全文

图 1 视景仿真平台与车路协同系统的关系

Figure 1. Relationship between visual simulation platform and CVIS

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图 2 视景仿真模型库

Figure 2. Library of visual simulation models

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图 3 车路协同系统仿真模型

Figure 3. Simulation model of CVIS

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图 4 车车信息交互模型仿真效果

Figure 4. Simulation effect of vehicle-vehicle information interaction model

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图 5 车路信息交互模型仿真效果

Figure 5. Simulation effect of vehicle-infrastructure information interaction model

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图 6 不同精细程度的LOD模型

Figure 6. LOD models with different detail degress

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图 7 功能节点优化算法流程

Figure 7. Flow of function-node optimization algorithm

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图 8 功能节点优化效果

Figure 8. Optimization effect of function nodes

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图 9 局部交通网络仿真效果

Figure 9. Simulation effect of local traffic network

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图 10 视景仿真平台内部信息流

Figure 10. Information flow in visual simulation platform

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图 11 车路仿真系统内部信息交互

Figure 11. Information interaction in simulation system of CVIS

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图 12 仿真效果

Figure 12. Simulation effects

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表 1 不同行人模型对比

Table 1. Comparison of different pedestrian models

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