摘要
针对传统高速公路服务区功能单一,科技化和信息化水平低,缺少统一的平台管理等问题,基于深度学习技术和物联网平台,调研智慧高速公路平台软硬件设计方案,并对服务区中的深度学习智慧场景、智能监控、车流量预测与应用进行分析,结合现有的服务区建设指南,提出了智慧服务区信息化软硬件系统架构方案。智慧服务区作为人工智能领域与交通运输领域的交叉学科技术应用平台,可以很好地推动两个领域的发展,实现跨领域合作和应用,并且可以将深度学习中的计算机视觉技术应用到服务区中,给未来智慧出行和智能交通运输规划提供了参考。
In view of the problems such as single function of the traditional highway service area,low level of technology and informationization,and lack of unified platform management,etc,the software and hardware design scheme of the smart highway platform is investigated based on the deep learning technology and the Internet of Things platform in this paper.The deep learning wisdom scene,intelligent monitoring,traffic flow prediction and application in the service area are analyzed.Combined with the existing service area construction guidelines,the informationization software and hardware system architecture scheme of the wisdom service area is put forward.As a cross-disciplinary technology application platform between the artificial intelligence field and the transportation field,the intelligent service area can promote the development of both fields,realize cross-disciplinary cooperation and application,and apply computer vision technology in deep learning to the service area.It provides a reference for the future intelligent transportation and intelligent transportation planning.
作者
方家璇
张凯
孟炜
葸国隆
乌惜辰
周庆国
FANG Jia-xuan;ZHANG Kai;MENG Wei;XI Guo-long;WU Xi-chen;ZHOU Qing-guo(School of Information Science&Engineering,Lanzhou University,Lanzhou Gansu 730000,China;Gansu Longyuan Information Technology Co.,Ltd,Lanzhou Gansu 730000,China;Key Laboratory of Intelligent Transportation in Gansu Province,Lanzhou Gansu 730000,China)
出处
《机械研究与应用》
2023年第1期180-183,共4页
Mechanical Research & Application
基金
甘肃省科技重大专项创新联合体项目:甘肃省绿色智慧公路关键技术研究及示范(服务区多维数据采集及智慧出行关键技术研究)(编号:21ZD3GA002)。
关键词
智慧服务区
智能交通
智能监控
软硬件系统设计
intelligent service area
intelligent transportation
intelligent monitoring
software and hardware system design