Volume 67 Issue 10
Oct.  2023
Turn off MathJax
Article Contents
TANG Hao, ZENG Weixian, LIN Wenhui, YIN Lan, YAO Wu, PENG Zheng, YANG Kun, WANG Feilong. Exploring and Applying Dual Infrared Laser Technology for Tunnel Traffic Speed Measurement[J]. Metrology Science and Technology, 2023, 67(10): 19-24. doi: 10.12338/j.issn.2096-9015.2023.0295
Citation: TANG Hao, ZENG Weixian, LIN Wenhui, YIN Lan, YAO Wu, PENG Zheng, YANG Kun, WANG Feilong. Exploring and Applying Dual Infrared Laser Technology for Tunnel Traffic Speed Measurement[J]. Metrology Science and Technology, 2023, 67(10): 19-24. doi: 10.12338/j.issn.2096-9015.2023.0295

Exploring and Applying Dual Infrared Laser Technology for Tunnel Traffic Speed Measurement

doi: 10.12338/j.issn.2096-9015.2023.0295
  • Received Date: 2023-11-20
  • Accepted Date: 2023-11-30
  • Rev Recd Date: 2023-11-30
  • Available Online: 2023-12-08
  • Publish Date: 2023-10-18
  • Tunnels, as vital components of transportation infrastructure, not only enhance traffic efficiency but also pose significant challenges in terms of frequent traffic accidents. This study delves into the peculiarities of the tunnel traffic environment to understand the high incidence of accidents, particularly in the context of high-speed rear-end collisions. Addressing the limitations of Doppler radar speedometers in tunnels, we introduce a speed measurement system based on dual infrared laser technology, specifically designed to overcome the difficulties of speed measurement in such environments. This system, featuring a dual infrared laser setup, has demonstrated excellent performance on open roads and superior capabilities within tunnel settings. Field tests and comparisons with conventional speed measurement methods have validated the effectiveness of the dual infrared laser speedometer in tunnels. However, enhancements in monitoring efficiency, particularly under high traffic conditions, are still necessary. Overall, this research presents a novel technological approach to tunnel traffic monitoring, offering significant innovations for improving traffic safety and efficiency. Future efforts should aim at further increasing monitoring efficiency to accommodate more complex and dense traffic scenarios, thereby advancing the comprehensive progress of tunnel traffic management systems.
  • loading
  • [1]
    尹彪. 高速公路隧道施工技术与施工控制建议[J]. 中国标准化, 2019(4): 68-69. doi: 10.3969/j.issn.1002-5944.2019.04.029
    [2]
    王秉通. 高速公路隧道群可变限速控制研究[D]. 兰州: 兰州交通大学, 2019.
    [3]
    交通运输部. 2022年交通运输行业发展统计公报[J]. 中国水运, 2023(13): 29-33.
    [4]
    王芳菲, 彭立飞, 张诗, 等. 山区高速公路隧道交通事故特征分析——以G65包茂高速6条隧道为例[J]. 隧道建设(中英文), 2023, 43(5): 816-825.
    [5]
    申艳军, 杨阳, 邹晓龙, 等. 国内公路隧道运营期交通事故统计及伤亡状况评价[J]. 隧道建设(中英文), 2018, 38(4): 564-574.
    [6]
    赖金星, 张鹏, 周慧, 等. 高速公路隧道交通事故规律研究[J]. 隧道建设, 2017, 37(1): 37-42. doi: 10.3973/j.issn.1672-741X.2017.01.006
    [7]
    李雄. 基于运营安全的隧道环境保障技术——以木冲隧道为例[D]. 重庆: 重庆交通大学, 2013.
    [8]
    田晶晶, 李世武, 孙文财, 等. 高速公路隧道环境对驾驶员注视特性的影响[J]. 江苏大学学报(自然科学版), 2016, 37(3): 264-267.
    [9]
    张雪峰, 魏庆朝, 赵泽鹏, 等. 高速公路隧道内噪声声场分布特性[J]. 长安大学学报(自然科学版), 2014, 34(6): 131-138. doi: 10.19721/j.cnki.1671-8879.2014.06.019
    [10]
    孙策. 超大断面双层盾构隧道火灾特性及疏散救援研究 ——以深圳机荷高速公路隧道为例[J]. 隧道建设(中英文), 2021, 41(8): 1297-1306.
    [11]
    周庆, 陈建, 方建钢. 基于实战的高速公路特长隧道车辆火灾事故消防救援研究[J]. 中国应急救援, 2021(3): 17-20. doi: 10.3969/j.issn.1673-5579.2021.03.004
    [12]
    袁凯, 章继文, 毛建军. 基于隧道环境影响的无线通信技术方案优化研究[J]. 工程技术研究, 2023, 8(5): 225-227. doi: 10.12417/2705-0998.23.05.071
    [13]
    W Zeng . Research on Dual-infrared Laser Based Speed Meter for Tunnel Traffic[C]. 2023 IEEE International Workshop on Metrology for Automotive (MetroAutomotive), Modena, Italy, 2023.
    [14]
    韩委波. 超速监测系统在长大隧道中的应用[J]. 中国交通信息化, 2011(11): 103-104. doi: 10.3969/j.issn.1672-3333.2011.11.017
    [15]
    侯俊涛, 梁译丹, 何源. 基于车牌识别的隧道限速监测装置[J]. 电子测试, 2022(14): 39-41. doi: 10.3969/j.issn.1000-8519.2022.14.013
    [16]
    刘焜, 牛锋, 黄杰. 机动车非现场执法用监控设备计量技术法规综述[J]. 计量科学与技术, 2022, 66(7): 50-53.
    [17]
    徐天琪, 杜磊, 白杰, 等. 24 GHz和77 GHz毫米波雷达速度测量不确定度评估比较[J]. 计量科学与技术, 2021, 65(9): 3-7, 65.
    [18]
    张育闻, 崔骊水, 谢代梁, 等. 基于LDV测速算法的多普勒频率测量不确定度分析和评定[J]. 计量学报, 2023, 44(4): 591-597. doi: 10.3969/j.issn.1000-1158.2023.04.15
    [19]
    杜磊, 孙桥, 白杰, 等. 一种基于双天线测速雷达的新型机动车现场标准测速仪[J]. 计量技术, 2017(12): 8-11.
    [20]
    蔡常青, 孙桥, 张跃, 等. 机动车激光测速仪校准技术的研究[J]. 计量学报, 2008, 29(4): 339-343.
    [21]
    蔡常青, 孙桥, 张跃, 等. 机动车激光测速仪检测技术探讨[J]. 中国计量, 2008(2): 57-59. doi: 10.3969/j.issn.1006-9364.2008.02.041
    [22]
    IACP. Speed—measuring device performance specifications: LIDAR module l : IACP LPSl—2004 [S]. IACP, 2004.
    [23]
    李志山, 蒲端, 钟鸣. 公路隧道岩溶构造地质雷达正演与探测实例波形特征对比研究[J]. 公路交通技术, 2019, 35(2): 110-117. doi: 10.13607/j.cnki.gljt.2019.02.019
    [24]
    刘东坤, 吴勇, 魏昶帆, 等. 地质雷达在隧道工程探测中的干扰波形特征分析[J]. 现代隧道技术, 2017, 54(3): 32-36,57. doi: 10.13807/j.cnki.mtt.2017.03.005
    [25]
    李宁, 韦道知, 张曌宇, 等. 制导引信一体化信息融合技术[J]. 电光与控制, 2021, 28(10): 94-98. doi: 10.3969/j.issn.1671-637X.2021.10.020
    [26]
    刘超, 罗如意, 刘春青, 等. 基于路侧多机视频目标关联与轨迹拼接的车辆连续轨迹构建方法[J]. 交通信息与安全, 2023, 41(3): 80-91. doi: 10.3963/j.jssn.1674-4861.2023.03.009
    [27]
    关丽敏, 张 倩, 楚庆玲, 等. 基于改进 ICP 算法的路侧双激光雷达数据融合[J]. 激光杂志, 2021, 42(9): 38-44.
    [28]
    王正. VANET中车辆计算卸载和车辆计算资源调度的研究[D]. 西安: 西安电子科技大学, 2020.
    [29]
    李雪玲. 高速公路长隧道车辆运行速度分析与安全措施研究[D]. 西安: 长安大学, 2012.
    [30]
    厉文涛, 汤灏, 周健. 公路超速检测激光测速仪研究[J]. 光子学报, 2020, 49(9): 143-152.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(3)  / Tables(2)

    Article Metrics

    Article views (164) PDF downloads(16) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return