Utilization-based parking space suggestion in smart city

Chia Ying Lin, Yi Lung Lu, Meng Hsun Tsai, Hui Ling Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In smart city, urban parking problems can be solved by sharing availability statuses of parking spaces and proper suggesting schemes. Most of the suggesting schemes recommend the nearest or the cheapest parking space from the driver's point of view. However, such a selfish decision may lead to low utilization. From the government's point of view, walking distance can be sacrificed to increase the utilization of parking spaces. In this paper, based on the open data of parking spaces in Tainan, several experiments are conducted to analyze the tradeoff between walking distance and utilization in proposed suggesting schemes.

Original languageEnglish
Title of host publicationCCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538647905
DOIs
Publication statusPublished - 2018 Mar 16
Event15th IEEE Annual Consumer Communications and Networking Conference, CCNC 2018 - Las Vegas, United States
Duration: 2018 Jan 122018 Jan 15

Publication series

NameCCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference
Volume2018-January

Other

Other15th IEEE Annual Consumer Communications and Networking Conference, CCNC 2018
CountryUnited States
CityLas Vegas
Period18-01-1218-01-15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Media Technology

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