大型停车场车辆定位与停车诱导研究
发布时间:2018-06-13 08:19
本文选题:无线定位 + 射频识别 ; 参考:《天津大学》2014年硕士论文
【摘要】:人们日常出行交通工具的改变标志着社会科学技术的进步与发展。车辆已经成为当代人类日常生活中不可缺少的基本交通工具之一,其数量直线上升。尤其是近年来私家车的数量持续攀升,导致大多数城市面临着严峻的亟待解决的静态交通问题。停车场是智能交通体系中一项重要的基础设施,它的管理效率的高低直接影响着城市静态交通问题的解决与否。针对当前停车管理中出现的低智能化、落后的管理水平和低运营效率等现象,本文对该系统中的定位与停车诱导做了大量的研究,并结合RFID和GIS设计了一套相关的上位机管理软件。其主要研究内容及成果如下。首先,根据系统的功能需求分析,对其各个功能模块进行了设计,同时对该系统中涉及的相关支撑技术和基础知识如RFID技术、电子车牌、图的相关定义等进行了介绍。其次,研究了RFID定位技术的原理及应用。针对停车场中车辆定位问题,提出了一种改进的基于RFID的无线定位算法,通过仿真发现该算法提高了车辆的定位精度,为后面的诱导功能的实现提供了条件。再次,根据多属性决策问题的研究方法建立了最佳泊位选择模型,实现了停车场内部最佳有效泊位的选择和诱导功能。模型中通过对赋权方法的改进,提高了诱导的质量,同时利用改进的最短路径算法,大大提高了搜索效率。该模型不仅有效地改善了停车场内部的交通状况,而且也提高了停车场的运营效率。最后,综合利用RFID和GIS在VS2010中开发了智能停车场系统管理软件。利用ArcMap绘制了停车场电子地图,实现了停车场空间地理信息与属性信息的可视化管理,有效提高了停车场的管理效率。
[Abstract]:The change of people's daily transportation means the progress and development of social science and technology. Vehicle has become one of the indispensable basic means of transportation in modern human daily life, and its number is rising linearly. Especially in recent years, the number of private cars continues to rise, leading most cities to face severe static traffic problems. Parking lot is an important infrastructure in intelligent transportation system. Its management efficiency directly affects the solution of static traffic problem. In view of the phenomena of low intelligence, backward management level and low operation efficiency in parking management, this paper has done a lot of research on positioning and parking guidance in this system. Combined with RFID and GIS, a set of related PC management software is designed. The main research contents and results are as follows. Firstly, according to the analysis of the functional requirements of the system, each functional module is designed, and the related supporting technologies and basic knowledge such as RFID technology, electronic license plate and the definition of the graph are introduced. Secondly, the principle and application of RFID positioning technology are studied. An improved wireless location algorithm based on RFID is proposed to solve the problem of vehicle location in parking lot. The simulation results show that the algorithm improves the accuracy of vehicle location and provides the conditions for the realization of the later guidance function. Thirdly, the optimal berth selection model is established according to the research method of multi-attribute decision making, which realizes the function of selecting and inducing the best effective berth in the parking lot. In the model, the quality of induction is improved by improving the weighting method, and the search efficiency is greatly improved by using the improved shortest path algorithm. The model not only improves the traffic situation in the parking lot, but also improves the efficiency of the parking lot. Finally, the intelligent parking system management software is developed by using RFID and GIS in VS2010. The electronic map of parking lot is drawn by ArcMap, which realizes the visual management of spatial geographic information and attribute information of parking lot, and effectively improves the management efficiency of parking lot.
【学位授予单位】:天津大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:U495;TP391.44
【参考文献】
相关期刊论文 前10条
1 顾李晶;顾小杰;;改进的LANDMARC定位算法在库位管理中的应用[J];计算机应用;2014年S1期
2 赵劲;高强;杨凯文;刘述;;一种利用历史数据构造虚拟标签的定位算法[J];计算机应用研究;2013年02期
3 李军怀;张果谋;于蕾;张t,
本文编号:2013352
本文链接:https://www.wllwen.com/kejilunwen/jiaotonggongchenglunwen/2013352.html