基于百度地图开放数据与Web挖掘的区域停车指数研究

发布时间：2018-03-31 18:50

本文选题：停车指数　切入点：百度地图　出处：《大连理工大学》2016年硕士论文

【摘要】：近年来随着我国经济快速发展,人民生活水平的不断提高,汽车保有量不断增长,城市交通问题日渐突出,城市停车难问题日益严重。究其原因,主要有三个,其一,停车场的建设速度落后于小汽车的增长速度,车位不足；其二,现有的停车设施利用率比较低,信息孤立,无法从整体上对停车场进行调控。其三,管理部门无法进行准确的停车需求预测,给停车设施的规划带来较大困扰。目前百度地图的POI(Point of Interest)数据信息每天都在更新,POI数据信息越来越详细和完善。利用信息挖掘技术,可以通过WEB信息挖掘获取每个POI对应的IOI(Item of Interest)信息,最终实现详细的土地利用信息的获取。借此契机,针对目前国内停车场智能化管理以及停车难问题,本文将结合百度地图API和HTML5技术,利用网页数据挖掘技术获取更精细化的土地开发利用数据。通过建立有效的区域停车需求模型,利用得到的数据计算区域停车场的停车需求以及停车指数,并根据结果绘制区域停车难易程度地图供出行者参考。本研究可以为解决目前城市日渐显著的“停车难”问题提供辅助决策依据。出行者可以通过本系统快速的知晓目的地停车场的停车难易程度,从而采用更科学合理的出行方式或者出行时间；城市建设者也可通过本研究改善停车费率的决策和停车设施的规划。
[Abstract]:In recent years, with the rapid development of China's economy, the continuous improvement of people's living standards, the increasing number of cars, the increasingly prominent urban traffic problems and the increasingly serious problems of parking in cities, there are three main reasons for this. The construction speed of the parking lot lags behind the growth rate of the car and the parking space is insufficient. Second, the utilization ratio of the existing parking facilities is relatively low and the information is isolated, so it is impossible to regulate the parking lot as a whole. Third, The management department is unable to predict the parking demand accurately, which makes the planning of parking facilities more and more difficult. At present, the POI(Point of interest data information of Baidu map is updating every day to be more and more detailed and perfect. Through WEB information mining, the corresponding IOI(Item of interest information of each POI can be obtained, and finally the detailed land use information can be obtained. This paper will combine Baidu map API and HTML5 technology, using the web page data mining technology to obtain more detailed land development and utilization data. Through the establishment of an effective regional parking demand model, Using the obtained data to calculate parking demand and parking index, According to the results, the map of parking difficulty is drawn for the reference of the travelers. This study can provide an auxiliary decision basis for solving the increasingly prominent parking problem in the city. The traveler can quickly use this system to solve the problem of "parking difficulty". Know how difficult it is to park in the parking lot of the destination, Thus, more scientific and reasonable travel mode or travel time can be adopted. Urban builders can also improve the decision of parking fee rate and the planning of parking facilities through this study.
【学位授予单位】：大连理工大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：U491.7

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