@inproceedings{22cdfbb6ab834b9e85939c2f71f9ba4a,
title = "IoT-enabled parking space sharing",
abstract = "This paper is among the first proposing an integrated auction and market design method for the parking space sharing and allocation problem. Drivers (agents) who fail to exchange their parking spaces can then rent them to the platform. The platform receives private parking spaces from agents and meanwhile manages some public parking spaces. We first develop the IoT-enabled urban parking management (IoT-UPM) Cloud. Based on this systemic framework, parking spaces are shared among agents via a PC-TTCC (price-compatible top trading cycles and chains) mechanism and the platform's parking spaces are reassigned via an O-VCG (one-sided Vickrey-Clarke-Groves) auction.",
author = "Kong, {Xiang T.R.} and Yu Ning and Meng Cheng and Xu, {Su Xiu} and Huang, {George Q.}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 13th IEEE Conference on Automation Science and Engineering, CASE 2017 ; Conference date: 20-08-2017 Through 23-08-2017",
year = "2017",
month = jul,
day = "1",
doi = "10.1109/COASE.2017.8256139",
language = "English",
series = "IEEE International Conference on Automation Science and Engineering",
publisher = "IEEE Computer Society",
pages = "412--417",
booktitle = "2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017",
address = "United States",
}