Open AccessResearch on Intelligent Parking Space Design in Limited Space through Big Data
Author(s) -
Han Zou,
Tianjian Zhu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1982/1/012021
Subject(s) - parking space , parking guidance and information , lagging , urbanization , space (punctuation) , big data , transport engineering , computer science , set (abstract data type) , china , perspective (graphical) , business , engineering , geography , artificial intelligence , data mining , economic growth , mathematics , economics , statistics , archaeology , programming language , operating system
With the rapid development of urbanization and motorization in China, the problem of parking in the city becomes more and more serious. Due to a series of reasons such as spatial layout, insufficient parking facilities and lagging property management, the parking problem in old urban communities is difficult to be solved. Based on the perspective of big data, this paper analyzes the reasons for the parking difficulties in the old community, and designs a set of intelligent parking system to provide an effective solution to the problem of parking difficulties in the old community. At the same time, it proposes design strategies for the renewal of parking space in the old community.