摘要
随着传感器技术和定位技术的快速发展,基于智能手机的轨迹数据采集与处理在人类生活中扮演着越来越重要的角色。轨迹信息可以实时呈现人们的活动路线和可能的活动趋势,使人们及时了解朋友之间的活动轨迹和活动状况。针对多用户轨迹共享问题展开研究,首先,文中提出了一种多用户轨迹的共享模型,设计了一种"端+云"的多轨迹共享体系架构;其次,围绕该架构重点研究了轨迹数据的实时获取及有效传输、多轨迹数据共享以及轨迹数据处理等核心机制,实现了一个支持多用户轨迹共享原型系统;最后,搭建了一个由多台Android智能手机和百度云服务构成的实验验证环境,对多用户轨迹共享的核心机制和原型系统进行验证。实验结果表明,该轨迹共享原型系统能够为用户间的多轨迹共享提供有效支撑。
With the rapid development of sensor and positioning technology,it plays an more and more important role in people＇ s lives to acquire and process trajectory data based on smartphones. Trajectory can present activity routes and possible trend in real-time, so that people can know the status of activity between friends in time. First,propose a multi-user sharing trajectory model aiming at trajectory study, designing a ＂terminal＋cloud＂ multi-track sharing architecture. Then, focus on the core mechanism to achieve a multi-user sharing prototype,such as trajectory acquisition and efficient transmission, multi-track sharing and trajectory data processing. Finally, build an verification environment which consists of multiple Android smartphones and Baidu cloud services to verify these core mechanism and the prototype system. Experimental results prove that the prototype system can support trajectory sharing effectively.
出处
《计算机技术与发展》
2015年第8期29-34,共6页
Computer Technology and Development
基金
国家自然科学基金资助项目(61202117 91118008)
关键词
传感器
个性化位置服务
轨迹追踪
云推送
实时共享
sensor
personalized location services
trajectory track
cloud push
real-timv sharing
