城市智能交通数据处理优化设计
发布时间：2018-11-16 17:49
【摘要】：随着城市化进程的加快，交通问题已经成为经济社会发展中不得不面对的重要问题。我国经济社会的发展和人民生活水平的不断提高，出租车与小轿车等交通工具数量迅速增加，这为人们提供便利的同时，也带来了交通拥堵、交通事故的问题，严重影响了人们出行与生活的质量。 城市智能交通引导系统的研究与开发，期望能够最大限度的改变交通拥堵的局面，充分利用交通设施和交通引导系统的智能处理，为出行者提供准确有效的交通信息，同时结合当前交通路况信息为用户提供到达目的地的更加合理的出行线路，从而引导交通流量合理分布，避免交通拥堵。 车辆交通数据是进行判别道路交通状况的基本依据，也是实现车辆交通引导的数据基础。本文的研究重点是对城市交通引导系统中交通数据的处理优化，提出易于实现的数据预处理方法，通过数据采样算法对交通数据进行加工，提取交通流量、道路行车时间等交通信息，从而为交通引导系统中功能模块的实现提供数据支持； 另外，结合MapInfo电子地图数据结构，提出了适用于交通引导系统的地图匹配问题解决方案。利用地图匹配算法，，将车辆行驶数据与地理空间信息有效联系起来，解决了车辆位置在电子地图中显示存在的定位误差问题。并提出了基于车辆行驶方向与行驶轨迹的地图匹配改进算法，优化交通引导系统的性能。 在完成以上对系统交通数据处理的基础上，本文对智能交通引导系统的开发提出了整体设计方案，介绍了系统交通数据库的搭建方法，并对交通引导系统主要功能模块的实现进行了展示。
[Abstract]:With the acceleration of urbanization, traffic has become an important problem in economic and social development. With the development of our country's economy and society and the continuous improvement of people's living standard, the number of vehicles such as taxis and cars is increasing rapidly, which provides convenience for people, but also brings problems of traffic congestion and traffic accidents. Has seriously affected the people travel and the quality of life. The research and development of urban intelligent traffic guidance system is expected to maximize the change of traffic congestion situation, make full use of the intelligent handling of traffic facilities and traffic guidance system, and provide accurate and effective traffic information for travelers. At the same time combined with the current traffic information to provide users with a more reasonable route to the destination so as to guide the rational distribution of traffic flow and avoid traffic congestion. The vehicle traffic data is the basic basis for judging the road traffic condition and the data base for realizing the vehicle traffic guidance. The research emphasis of this paper is to optimize the traffic data processing in the urban traffic guidance system, put forward the data preprocessing method which is easy to realize, process the traffic data through the data sampling algorithm, and extract the traffic flow. The traffic information, such as road driving time, provides data support for the realization of the function module in the traffic guidance system. In addition, combined with MapInfo electronic map data structure, a map matching solution for traffic guidance system is proposed. By using the map matching algorithm, the vehicle driving data and the geospatial information are connected effectively, which solves the problem of the location error of the vehicle position displayed in the electronic map. An improved map matching algorithm based on vehicle driving direction and track is proposed to optimize the performance of traffic guidance system. On the basis of the above data processing, this paper puts forward the overall design scheme for the development of intelligent traffic guidance system, and introduces the method of building the system traffic database. The realization of the main function modules of the traffic guidance system is also presented.
【学位授予单位】：河南科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U495
[Abstract]:With the acceleration of urbanization, traffic has become an important problem in economic and social development. With the development of our country's economy and society and the continuous improvement of people's living standard, the number of vehicles such as taxis and cars is increasing rapidly, which provides convenience for people, but also brings problems of traffic congestion and traffic accidents. Has seriously affected the people travel and the quality of life. The research and development of urban intelligent traffic guidance system is expected to maximize the change of traffic congestion situation, make full use of the intelligent handling of traffic facilities and traffic guidance system, and provide accurate and effective traffic information for travelers. At the same time combined with the current traffic information to provide users with a more reasonable route to the destination so as to guide the rational distribution of traffic flow and avoid traffic congestion. The vehicle traffic data is the basic basis for judging the road traffic condition and the data base for realizing the vehicle traffic guidance. The research emphasis of this paper is to optimize the traffic data processing in the urban traffic guidance system, put forward the data preprocessing method which is easy to realize, process the traffic data through the data sampling algorithm, and extract the traffic flow. The traffic information, such as road driving time, provides data support for the realization of the function module in the traffic guidance system. In addition, combined with MapInfo electronic map data structure, a map matching solution for traffic guidance system is proposed. By using the map matching algorithm, the vehicle driving data and the geospatial information are connected effectively, which solves the problem of the location error of the vehicle position displayed in the electronic map. An improved map matching algorithm based on vehicle driving direction and track is proposed to optimize the performance of traffic guidance system. On the basis of the above data processing, this paper puts forward the overall design scheme for the development of intelligent traffic guidance system, and introduces the method of building the system traffic database. The realization of the main function modules of the traffic guidance system is also presented.
【学位授予单位】：河南科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U495
【参考文献】
相关期刊论文 前6条
1 陈旭梅,于雷,郭继孚,全永q
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