计算机与数字工程2017，Vol.45Issue(9)：1765-1769,5.DOI:10.3969/j.issn.1672-9722.2017.09.016
基于群智感知技术的车联网路径优化问题研究
Research on Path Optimization of Internet of Vehicle Based on Crowd Sensing Technology
万辛 1高圣翔1
作者信息
- 1. 国家计算机网络应急技术处理协调中心 北京 100012
- 折叠
摘要
Abstract
The research of wireless network,cloud computing and intelligent terminal to promote the development of the appli?cation of Internet of Vehicle(IOV),such as in vehicle anti-theft,positioning,emergency rescue,however the application of the crowd sensing technology have provided accurate,interesting data in real time for IOV,which provides the basic data for the solu?tion the key technology of IOV is analyzed firstly and the traditional traffic models for two vehicles to solve the flow model of the Ve?hicle To Infrastructure(V2I)and vehicle to vehicle(V2V)are reviewed. a new perception node-person is also introduced,using crowd sourcing data based on their own,a dynamic routing process is created,and through the test the conclusion that the strategies to reduce the actual traffic congestion problem in the process of the experimental environment is validated,and finally the reliability high traffic forecast is put forward.关键词
车联网/群智感知/动态路由/拥塞Key words
internet of vehicle/crowd sensing/dynamic routing/traffic congestion分类
信息技术与安全科学引用本文复制引用
万辛,高圣翔..基于群智感知技术的车联网路径优化问题研究[J].计算机与数字工程,2017,45(9):1765-1769,5.
