一种基于众包地图的智能交通诱导数据模型及方案研究

发布时间：2018-07-01 20:13

本文选题：众包地图 + 用户产生内容　；参考：《北京邮电大学》2015年硕士论文

【摘要】：在交通日益发达的现代社会,人们的生活越来越离不开地图导航软件。综观当前电子地图的导航情况,大多是只提供单纯的基于地理位置的路线规划,并没有很好地考虑到路线临时变化等突发状况,有时并不能很好地满足人们的需求。本课题结合用户产生内容(User Generated Content)、众包地图和移动群智感知(Mobile Crowd Sensing)等技术,提出了一种智能交通诱导方案,并建立了相应的数据模型。本课题提出的智能交通诱导方案和数据模型不仅包含了传统地图导航的位置信息,还融合了用户产生的交通数据,从而为用户提供实时性和准确性较高的交通信息,满足人们对动态交通信息的需求。首先,本课题采用智能加权融合的方法对用户产生的交通数据进行融合,并建立了智能交通诱导数据融合模型。通过多源数据融合的方法从杂乱无章的数据中去伪存真,得到实时性和准确性较高的动态交通信息。其次,本课题还借鉴博弈论的观点建立了一种收益机制,通过对行为结果的奖励或惩罚来对用户进行约束,使其创造出更加真实有效的内容。最后,为了验证本课题提出的智能交通诱导方案和数据模型,本文设计实现了智能交通诱导方案的验证系统,并通过Matlab对本课题的数据融合模型进行仿真,从而验证了本文提出的智能交通诱导方案和数据模型的有效性。本课题的相关研究将进一步促进移动互联网和智能交通领域的深度融合,代表了一种适应社会发展的智慧出行位置服务模式,以期推动城市交通向智能化、高效化发展,进而方便公众出行并提升城市公共交通服务效率。
[Abstract]:In the modern society with increasingly developed traffic, people's lives are more and more inseparable from map navigation software. Looking at the navigation situation of the current electronic map, most of them only provide the route planning based on the geographical location, and do not take into account the unexpected situation such as the temporary change of the route, and sometimes it can not meet the needs of the people very well. Based on the technologies of user generated content, crowdsourcing map and mobile Crowd sensing, an intelligent traffic guidance scheme is proposed, and the corresponding data model is established. The intelligent traffic guidance scheme and data model proposed in this paper not only contain the location information of traditional map navigation, but also fuse the traffic data generated by users, thus providing users with real-time and accurate traffic information. Meet people's demand for dynamic traffic information. Firstly, the intelligent weighted fusion method is used to fuse the traffic data generated by users, and an intelligent traffic guidance data fusion model is established. Through the method of multi-source data fusion, we can distinguish the false things from the random data, keep the real things, and get the real-time and accurate dynamic traffic information. Secondly, this subject also uses the view of game theory to establish a kind of profit mechanism, through the reward or punishment to the behavior result to carry on the restriction to the user, make it create more real and effective content. Finally, in order to verify the intelligent traffic guidance scheme and data model, this paper designs and implements the intelligent traffic guidance scheme verification system, and simulates the data fusion model by Matlab. The validity of the intelligent traffic guidance scheme and the data model proposed in this paper is verified. The related research of this topic will further promote the deep integration of mobile Internet and intelligent transportation, and represent a smart travel location service model adapted to the development of society, in order to promote the intelligent and efficient development of urban traffic. Furthermore, it is convenient for the public to travel and improve the efficiency of urban public transport service.
【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U495

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