摘要
基于LBS、Nginx和实时科学计算提出智能高速公路防交通拥堵的类计算机系统资源模型和类CPU调度算法;并对智能高速公路防交通拥堵控制原型系统的关键部分Android客户端、系统后台、基于LBS的百度鹰眼技术和行车间隔距离算法进行实时科学计算,为解决好高速公路交通拥堵问题或城市交通拥堵等相关研究提供参考依据。
Based on LBS,Nginx and real-time scientific calculation,the paper proposed the resource model of computer-like system and CPU-like scheduling algorithm for traffic congestion prevention of intelligent expressway.The Anti-traffic Congestion Control System of Intelligent Expressway adopts the Baidu Trace technology based on LBS and Load Balancing technology based on Nginx.The key part of Anti-traffic Congestion Control Prototype System of Intelligent Expressway is realized by Android client,system background,real-time scientific calculation of Baidu Trace technology based on LBS and the algorithm of lineshop distance.The research provides a reference for solving the problem of expressway traffic congestion or urban traffic congestion and other related researches.
作者
王宁邦
徐博
WANG Ningbang;XU Bo(Department of Information Management,Yunnan Normal University,Kunming 650500,China)
出处
《昆明冶金高等专科学校学报》
CAS
2019年第4期95-103,108,共10页
Journal of Kunming Metallurgy College
基金
云南省教育厅基金项目:大数据背景下自媒体时代高校突发事件网络舆情研判与应对(2019J0086)
云南省教育科学规划教师教育专项课题:“互联网+”背景下教师教育网络课程资源促进城乡教育均衡发展研究(GJZ1905)
关键词
LBS
实时科学计算
智能高速公路
防交通拥堵
类计算机系统资源模型
类CPU调度算法
Location Based Service
real-time scientific computing
intelligent expressway
anti-traffic congestion
computer-like system resource model
CPU-like scheduling algorithm
