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“自动+人工”混合驾驶环境下交通管理研究综述

裴玉龙 迟佰强 吕景亮 岳志坤

裴玉龙, 迟佰强, 吕景亮, 岳志坤. “自动+人工”混合驾驶环境下交通管理研究综述[J]. 交通信息与安全, 2021, 39(5): 1-11. doi: 10.3963/j.jssn.1674-4861.2021.05.001
引用本文: 裴玉龙, 迟佰强, 吕景亮, 岳志坤. “自动+人工”混合驾驶环境下交通管理研究综述[J]. 交通信息与安全, 2021, 39(5): 1-11. doi: 10.3963/j.jssn.1674-4861.2021.05.001
PEI Yulong, CHI Baiqiang, LYU Jingliang, YUE Zhikun. An Overview of Traffic Management in "Automatic+Manual" Driving Environment[J]. Journal of Transport Information and Safety, 2021, 39(5): 1-11. doi: 10.3963/j.jssn.1674-4861.2021.05.001
Citation: PEI Yulong, CHI Baiqiang, LYU Jingliang, YUE Zhikun. An Overview of Traffic Management in "Automatic+Manual" Driving Environment[J]. Journal of Transport Information and Safety, 2021, 39(5): 1-11. doi: 10.3963/j.jssn.1674-4861.2021.05.001

“自动+人工”混合驾驶环境下交通管理研究综述

doi: 10.3963/j.jssn.1674-4861.2021.05.001
基金项目: 

国家自然科学基金项目 71771047

国家自然科学基金项目 51638004

详细信息
    通讯作者:

    裴玉龙(1961—),博士,教授.研究方向:道路交通安全,交通规划,交通管理. E-mail:peiyulong@nefu.edu.cn

  • 中图分类号: U491.3

An Overview of Traffic Management in "Automatic+Manual" Driving Environment

  • 摘要:

    为了解混合驾驶环境下交通管理的研究现状和发展趋势,以“自动驾驶汽车”发展现状为基础,分析自动驾驶汽车在混合驾驶环境下存在的问题,基于Citespace文献计量工具,CNKI核心数据库近24年(1997—2020年)有关自动驾驶研究的文献为研究数据源,从发文年代、期刊来源、研究机构、关键词等进行文献计量和可视化分析,并生成各研究机构间的关系网络图谱及关键词共现网络图谱。结果表明:国内近5年自动驾驶发文量呈上升趋势;《中国公路学报》为发文量最高的期刊;自动驾驶汽车研究的方向主要包括:①目标检测及场景感知研究;②决策与控制;③交通事故责任划定研究。在未来混合驾驶环境下交通管理应结合车路协同、高精度地图技术,从标志标线设计、信号配时优化、路权归属、交通事故责任划定等方面进行研究,使道路运输更安全、高效、便捷。

     

  • 图  1  “自动+人工”混合驾驶程度

    Figure  1.  Degree of "automatic+manual" driving

    图  2  文献筛选过程

    Figure  2.  Literature screening process

    图  3  1997—2020年发文量

    Figure  3.  Number of papers published in1997—2020

    图  4  研究机构关系图谱

    Figure  4.  Relationship of research institutions

    图  5  自动驾驶研究突现词

    Figure  5.  Emergent words in automatic driving research

    图  6  关键词共现网络图谱

    Figure  6.  Co-occurrence network of keywords

    图  7  结合车路协同的目标检测

    Figure  7.  Target detection combined with vehicle-road cooperation

    图  8  高精度地图+车路协同系统的路径规划技术

    Figure  8.  Path planning technologies of high-precision map + collaborative vehicle-road system

    图  9  混合驾驶环境下交通管理问题分析

    Figure  9.  Analysis of traffic management problems in the mixed driving environment

    表  1  各期刊来源分布

    Table  1.   Source distribution of Journals

    期刊来源 发文数量/篇 占比/%
    SCI期刊 4 0.76
    EI期刊 145 27.67
    CSCD/CSSCI期刊 281 53.63
    北大核心期刊 94 17.94
    合计 524 100.00
    下载: 导出CSV

    表  2  自动驾驶文献EI期刊发文统计

    Table  2.   Statistics of papers published in EI journals of automatic driving literature

    期刊 发文量/篇 占比/% 复合影响因子
    《中国公路学报》 27 5.15 2.438
    《汽车工程》 13 2.48 1.752
    《交通运输系统工程与信息》 9 1.72 1.827
    《吉林大学学报(工学版)》 8 1.53 1.386
    《自动化学报》 6 1.15 4.466
    注:“占比” 为占全部文献的比例。
    下载: 导出CSV

    表  3  自动驾驶文献CSCD/CSSCI期刊发文统计

    Table  3.   Statistics of papers published in CSCD/CSSCI Journals

    期刊 发文量/篇 占比/% 复合影响因子
    《汽车技术》 20 3.82 1.406
    《汽车安全与节能学报》 16 3.05 2.018
    《交通信息与安全》 8 1.53 1.265
    《测绘通报》 7 1.34 1.806
    《计算机工程与应用》 7 1.34 1.748
    《重庆交通大学学报(自然科学版)》 7 1.34 1.048
    《系统仿真学报》 7 1.34 0.990
    《计算机应用》 6 1.15 2.063
    《法学》 5 0.95 6.283
    《科技管理研究》 5 0.95 1.952
    下载: 导出CSV

    表  4  关键词共现(频次大于4)

    Table  4.   Co-occurrence of keywords (frequency > 4)

    序号 频次 中心度 关键词 序号 频次 中心度 关键词
    1 511 0.46 自动驾驶汽车 16 8 0.06 自动驾驶系统
    2 83 0.30 人工智能 17 7 0.13 轨迹规划
    3 72 0.04 目标检测 18 7 0.09 注意义务
    4 59 0.11 深度学习 19 7 0.06 轨迹跟踪
    5 55 0.11 卷积神经网络 20 6 0.08 智能车辆
    6 54 0.20 产品责任 21 6 0.01 强化学习
    7 47 0.25 模型预测控制 22 5 0.08 交通肇事
    8 46 0.25 自适应 23 4 0.10 遗传算法
    9 45 0.23 计算机视觉 24 4 0.07 驾驶行为
    10 16 0.13 交通工程 25 4 0.06 责任分配
    11 15 0.07 智能交通系统 26 4 0.04 路径跟踪
    12 12 0.09 刑事责任 27 4 0.03 车路协同
    13 10 0.23 车辆工程 28 4 0.02 场景理解
    14 10 0.04 路径规划 29 4 0.01 车辆检测
    15 9 0.11 模糊控制 30 4 0.00 汽车产业
    下载: 导出CSV
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