Design of Intelligent Parking System Based on Cloud Platform
Juan Fang, Ze-Qing Chang, Yan-Jin Cheng, Min Cai, Ju Li, Zeng-Jun Chen
Available Online December 2016.
- https://doi.org/10.2991/icwcsn-16.2017.116How to use a DOI?
- Intelligent parking ; Cloud platform; Performance.
- With the increasing number of private cars in urban areas year by year, the problems such as parking difficulties and traffic congestion become the new trend of urban development, the informationization is supposed as an important means to solve the problem of urban parking. It is researched on urban parking management solution in the Background of Big Data, and the Big Data technologies is utilized to effectively integrate, analyze and forecast traffic conditions, parking data and user behavior, and upgrade the traditional parking industry to intelligent parking. Developed with android platform, the function of user location, parking lot preselection, driving route planning, parking lot details and parking charge are deeply analyzed and designed, which realizes intelligent parking real-time query system based on Android, to help the majority of car owners access to parking information in real-time to solve the "parking difficult" problem.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Juan Fang AU - Ze-Qing Chang AU - Yan-Jin Cheng AU - Min Cai AU - Ju Li AU - Zeng-Jun Chen PY - 2016/12 DA - 2016/12 TI - Design of Intelligent Parking System Based on Cloud Platform BT - 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016) PB - Atlantis Press SP - 576 EP - 579 SN - 2352-538X UR - https://doi.org/10.2991/icwcsn-16.2017.116 DO - https://doi.org/10.2991/icwcsn-16.2017.116 ID - Fang2016/12 ER -