Investigation into the use of a smart parking platform driven by Big Data in urban administration
With the acceleration of the urbanization process and the continuous increase of the number of vehicles,the problem of urban parking is becoming increasingly prominent,which has brought serious challenges to urban management.In order to deal with this problem,intelligent parking system comes into being.The intelligent parking system is based on big data technology,which collects,processes and analyzes parking data in real time,so as to realize optimal allocation and dynamic management of parking resources.This paper proposes a smart parking platform architecture design based on big data,and focuses on the functions and implementation methods of data acquisition,storage,analysis and decision support modules.This paper studies how to effectively connect the smart parking platform based on big data with the city management system to realize efficient allocation and optimal management of resources.Through the analysis of actual cases,it shows the positive role of smart parking platform in alleviating urban traffic pressure,improving the utilization rate of parking resources and improving the travel experience of citizens.In addition,this paper also discusses the technical challenges and implementation difficulties faced by smart parking platforms in urban management driven by big data,and puts forward corresponding solutions.
Big data technologyintelligent parkingurban management
NETL
NSTL
万方数据
