Abstract
An increasing number of automobiles have led to a serious shortage of parking spaces and a serious imbalance of parking supply and demand. The best way to solve these problems is to achieve the reasonable planning and classify management of car parks, guide the intelligent parking, and then promote its marketization and industrialization. Therefore, we aim to adopt clustering method to classify car parks. Owing to the time series characteristics of car park data, a time series clustering framework, including preprocessing, distance measurement, clustering and evaluation, is first developed for classifying car parks. Then, in view of the randomness of existing clustering models, a new time series clustering model based on dynamic time warping (DTW) is proposed, which contains distance radius calculation, obtaining density of the neighbor area, k centers initialization, and clustering. Finally, some UCR datasets and data of 27 car parks are employed to evaluate the performance of the models and results show that the proposed model performs obviously better results than those clustering models based on Euclidean distance (ED) and traditional clustering models based on DTW.
Highlights
Thanks to the rapid development of science and technology recently and the popularity of transportation tools, the automobile, as one of the most important means of transportation in human society, has brought great convenience to people’s travel and life
It becomes urgent to solve this problem and some studies found that the main reasons of parking difficulty can be summarized as independent operation of car parks, unshared data and inefficient operation management [2]
Kubota et al [3] reported that the reasonable planning and classifying management of car parks can improve the problem of inefficient operation management
Summary
Thanks to the rapid development of science and technology recently and the popularity of transportation tools, the automobile, as one of the most important means of transportation in human society, has brought great convenience to people’s travel and life. Parking difficulty still is a prominent traffic problem in cities, especially in big cities. An article in Washington Post [1] pointed out that: “parking difficulty produces more than frustration. It waste more gas and produce more carbon dioxide in the course of a year.”. It becomes urgent to solve this problem and some studies found that the main reasons of parking difficulty can be summarized as independent operation of car parks, unshared data and inefficient operation management [2]. Kubota et al [3] reported that the reasonable planning and classifying management of car parks can improve the problem of inefficient operation management
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