智能停车场车位信息服务系统

发布时间：2018-04-18 00:11

本文选题：智能停车 + 停车场管理　；参考：《大连交通大学》2014年硕士论文

【摘要】：随着我国近20年经济高速发展,我国汽车保有量迅速攀升,汽车逐渐走进千家万户,在方便了人们的出行和改善了人们生活品质的同时也带来了一系列负面问题,如越发严重的城市交通拥堵、越来越严重的环境污染以及频发的交通事故等。而城市停车场建设与管理水平远远落后汽车保有量的增长速度,因此,停车难已成为城市化进程中令广大车主头痛和亟待解决的重点问题之- 本研究课题即是针对目前社会广为关注的城市停车难问题提出了城市停车场智能管理解决方案,该方案基于物联网技术,对分散在不同城区的停车场车位进行智能化统管理,实现车位信息采集、车位信息发布、车位信息查询、车位预订和车位收费管理等功能,用户通过网络即可享受查询和预订整个城市的停车位服务。论文首先通过对用户、停车场、城市管理部门调查和研究,深入了解和掌握了停车场的物理拓扑结构以及整个停车的流程,提出了停车场车位信息服务系统的设计目标,并展开需求分析,定义了用户管理、停车场管理、自主泊车、数据统计分析四个功能模块。其次,简单地介绍了实现上述功能所涉及的主要技术与开发平台。然后根据系统需求进行了智能停车场车位信息服务系统的系统架构设计、系统信息传输协议设计、系统建模、系统数据库设计。然后基于分布式体系结构,采用主流的面向对象设计方法,完成了智能停车场车位信息服务系统的用户管理模块、停车场管理模块、自主泊车模块、收费统计分析模块的详细设计,实现了系统基本功能。最后,基于实验条件对所开发的智能停车场车位信息服务系统进行了测试。测试结果表明该系统可以实现系统基本功能,具有很好的实时性和可靠性。作为一套覆盖城市多个停车场的车位信息服务系统,该系统使得停车服务信息发布途径更方便、服务范围更广泛,能够有效地减少因自目寻找停车位而附加的交通量,间接地改善了城市交通拥堵状况,降低了交通事故的发生率,在一定程度上也减轻了城市环境污染,改善了市容市貌。
[Abstract]:With the rapid development of China's economy in the past 20 years, the number of cars in our country has risen rapidly, and cars have gradually entered thousands of households, which has brought about a series of negative problems while facilitating people's travel and improving people's quality of life.Such as more and more serious urban traffic congestion, more and more serious environmental pollution and frequent traffic accidents.But the construction and management level of the urban parking lot lags far behind the increasing speed of the car ownership. Therefore, the parking difficulty has become one of the most important problems for the car owners in the process of urbanization.This research topic is to put forward the intelligent management solution of the urban parking lot, which is widely concerned by the society at present, which is based on the technology of Internet of things, and manages the parking spaces scattered in different urban areas intelligently and uniformly.The functions of collecting parking space information, publishing parking information, querying parking space information, parking space reservation and parking charge management are realized. Users can enjoy the search and reservation of parking spaces in the whole city through the network.Firstly, through the investigation and research on the users, parking lots and urban management departments, the paper deeply understands and grasps the physical topology and the whole parking process of the parking lot, and puts forward the design goal of the parking space information service system.Four functional modules are defined: user management, parking management, autonomous parking, and statistical analysis of data.Secondly, the main technology and development platform involved in realizing the above functions are briefly introduced.Then according to the system requirements, the system architecture design, system information transmission protocol design, system modeling and system database design of intelligent parking space information service system are carried out.Then, based on the distributed architecture and using the main object-oriented design method, the user management module, parking lot management module and autonomous parking module of the intelligent parking space information service system are completed.The detailed design of charge statistic analysis module realizes the basic function of the system.Finally, the intelligent parking space information service system is tested based on the experimental conditions.The test results show that the system can achieve the basic functions of the system, with good real-time and reliability.As a set of parking space information service system covering many parking lots in the city, the system makes the way of issuing parking service information more convenient, the scope of service is wider, and it can effectively reduce the additional traffic volume because of looking for parking space.The situation of urban traffic congestion is improved indirectly, the incidence of traffic accidents is reduced, the pollution of urban environment is alleviated to a certain extent, and the appearance of the city is improved.
【学位授予单位】：大连交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP311.52;TP393.09

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