城市拥堵区智能交通标识现状分析及对策研究  

Current Situation Analysis and Countermeasure Research of Intelligent Traffic Signs in Urban Congestion Areas

作　　者：罗玉树 李红豫 张颖 张璐 温骧 LUO Yushu;LI Hongyu;ZHANG Ying;ZHANG Lu;WEN Xiang(School of Civil Engineering,Guilin University of Technology,Guilin,Guangxi 541000,China)

机构地区：[1]桂林理工大学土木工程学院,广西桂林541000

出　　处：《黑龙江交通科技》2024年第7期169-173,177,共6页Communications Science and Technology Heilongjiang

基　　金：广西科技基地和人才专项(桂科AD20159011);桂林理工大学2022年大学生创新创业项目(202210596719)。

摘　　要：为适应智慧城市交通发展的需要,针对当前交通标识更新与维护中投入大、效率低的问题,分析了城市拥堵区交通标志现状、问题及传统的解决方法。在大数据的基础上,以桂林市及其主干路为例,利用图像传感器自适应捕捉并提取自然图像并借助物联网技术促进各智能交通标识间的数据联动,提出了一种自适应智能标识系统,实现对当前道路交通行为的实时预测。In order to satisfy the needs of smart city traffic development,the current situation,problems and traditional solutions of traffic signs in congested areas of cities are analyzed for the current problems of high investment and low efficiency in traffic sign updating and maintenance.Based on big data,an adaptive intelligent signage system is proposed to achieve real-time prediction of current road traffic behavior by using image sensors to adaptively capture and extract natural images and promoting data linkage among intelligent traffic signs with the help of IoT technology,taking the traffic in congested areas of Guilin city as an example.

关 键 词：智能交通标识 自适应 物联网 

分 类 号：U491.5[交通运输工程—交通运输规划与管理]