田春生1,
郭银景2,
王雪1,,
1.吉林大学通信工程学院 长春 130012
2.山东科技大学信息与电气工程学院 青岛 266510
基金项目:国家自然科学基金(61771219)，吉林大学基础科研项目(SXGJQY2017-9, 2017TD-19)，吉林大学研究生创新基金(101832018C022)
详细信息
作者简介:钱志鸿：男，1957年生，教授，研究方向为无线网络通信技术，包括蓝牙、RFID, M2M, D2D、无线传感器网络及物联网等
田春生：男，1993年生，博士生，研究方向为D2D通信技术与物联网
郭银景：男，1966年生，教授，研究方向为网络通信、电磁兼容等
王雪：女，1984年生，副教授，研究方向为5G通信中的关键技术，具体包括D2D通信的模式选择、同步技术，以及物联网技术
通讯作者:王雪 jluwangxue@163.com
中图分类号:TN92计量
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被引次数:0
出版历程
收稿日期:2019-10-16
修回日期:2019-11-22
网络出版日期:2019-11-30
刊出日期:2020-01-21
The Key Technology and Development of Intelligent and Connected Transportation System
Zhihong QIAN1,Chunsheng TIAN1,
Yinjing GUO2,
Xue WANG1,,
1. College of Communication Engineering, Jilin University, Changchun 130012, China
2. College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao, 266510, China
Funds:The National Natural Science Foundation of China (61771219), The Fundamental Research of Jilin University (SXGJQY2017-9, 2017TD-19), The Graduate Innovation Fund of Jilin University (101832018C022)
摘要
摘要:该文梳理了国内外针对智能网联交通系统的相关研究，阐述了智能网联交通系统的架构和关键技术，分析了外部环境感知技术、车辆自主决策技术、控制执行技术以及车路协同技术等几个重点方向的研究进展。在分析总结已有文献的基础上，该文描述了未来智能网联交通系统的方案及其工作原理。未来智能网联交通系统应具备全程路径规划和精准定位功能，运用实时动态定位(RTK)技术和合成孔径雷达(SAR)技术，对运动或非运动物体(包括未装载GPS的物体)进行探测和定位，并保证在GPS信号弱或无信号(如隧道、室内)环境下和近距离、非可视情况下探测信号的连续性。系统还将运用移动边缘计算(MEC)理论，解决低时延、大规模网络接入等关键问题，运用大数据、云计算、物联网(IoTs)和移动通信技术，实现具有全局性、网络化的智能网联交通系统。
关键词:智能网联交通/
车联网/
V2X/
实时动态定位/
合成孔径雷达
Abstract:Some current works on intelligent and connected transportation system are presented, particularly focusing on the state of the art of the framework and key technologies in China or internationally, and the research development in some critical directions are elaborated including external environment perception, autonomous decision of vehicles, control execution and cooperative vehicle infrastructure system. On the basis of analyzing and summarizing the existing literature, the scheme of the future intelligent and connected transportation system and its working principle are described. The future intelligent and connected transportation system have the function of full path planning and precise, and the Real-Time Kinematic (RTK) and Synthetic Aperture Radar (SAR) technologies are used to detect and locate moving or non-moving objects, including those without GPS. And the continuity of the detection signal can be guaranteed in the environment where GPS signals are weak or non-signaled (e.g., tunnel, indoor) and the situation of close-range and non-visual. The Mobile Edge Computing (MEC) theory can also be used in the system to solve the key problems such as low latency and large-scale network access, and the big data, cloud computing, Internet of Things (IoTs) and mobile communication technologies are used to realize the global and networked intelligent and connected transportation system.
Key words:Intelligent and connected transportation/
Internet of Vehioles (IoVs)/
Vehicle to Everything (V2X)/
Real-Time Kinematic (RTK)/
Synthetic Aperture Radar (SAR)
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