浅议车联网与智慧交通的应用——以多车协同巡航为例  

On the Applications of the Internet of Vehicles and Intelligent Transportation——Taking Multi-Vehicles Coordination Cruising as Example

作　　者：李晓栋[1] 徐维祥[2] LI Xiao-dong;XU Wei-xiang(Guangdong of Industry and Commerce,The Department of Business Administration,Guangzhou 510510;Beijing Jiaotong University Shool of Trafficand Transportation,Beijing 100044,China)

机构地区：[1]广东工贸职业技术学院工商管理系,广东广州510510 [2]北京交通大学交通运输学院,北京100044

出　　处：《物流工程与管理》2018年第4期70-73,共4页Logistics Engineering and Management

基　　金：国家自然科学基金(基于云计算的海量多源智慧交通数据流的实时查询与可视化研究;项目负责人:徐维祥;项目批准号:61672002)

摘　　要：应用于智慧交通的车联网正在成为移动物联网中具有广阔市场前景的研究对象。在车车互联的车联网中,汽车与物联网云平台之间、汽车与汽车之间进行实时数据通信,最终目标是实现交通管理的智能化。文中以实时传感、数据采集、模型运算和指令反馈四要件形式讨论车联网未来最有可能获得大规模应用的五个领域:交通管理、公安监控、道路维护、超载警报、环境保护。在此基础上,以仿生鱼群聚集行为和引用力学算法构建多车协同巡航控制系统为例,阐述上述联网四要件的具体实现形式,并讨论可能的模型参数和验证方法的优化途径。IoV(Internet of Vehicles)for enabling intelligent transport is becoming a research object with broad market prospects in the area of mobile IoT.In the environment of IoV where all vehicles are connected with each other,real-time data communications take place between automobiles and the cloud platform,as well as among automobile themselves,with the ultimate objective of intelligentize of transport management.by informing four requisites:real-time sensing,data collection,model calculation and instruction feedback,this article expounds five areas where the Iov has the most chance to be massively explored:traffic management,public security monitoring,road maintenance,overload alarming and environment protection.thereafter,this article takes an example of constructing the multi-vehicles coordination cruising model which simulates fish shoal assembling pattern and applies mechanics theory,to elaborate the concrete forms of realization of the four Iov factors stated above and discuss possible optimization ways for model parameters and validation techniques.

关 键 词：车联网 四要件 多车协同巡航 鱼群聚集仿生模型 

分 类 号：F503[经济管理—产业经济]