Utilization-based parking space suggestion in smart city

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

doi:10.1109/CCNC.2018.8319281

Utilization-based parking space suggestion in smart city

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

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 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 language	English
Title of host publication	CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781538647905
DOIs	https://doi.org/10.1109/CCNC.2018.8319281
Publication status	Published - 2018 Mar 16
Event	15th IEEE Annual Consumer Communications and Networking Conference, CCNC 2018 - Las Vegas, United States Duration: 2018 Jan 12 → 2018 Jan 15

Publication series

Name	CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference
Volume	2018-January

Other

Other	15th IEEE Annual Consumer Communications and Networking Conference, CCNC 2018
Country/Territory	United States
City	Las Vegas
Period	18-01-12 → 18-01-15

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Signal Processing
Media Technology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/CCNC.2018.8319281

Cite this

Lin, C. Y., Lu, Y. L., Tsai, M. H., & Chang, H. L. (2018). Utilization-based parking space suggestion in smart city. In CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference (pp. 1-6). (CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCNC.2018.8319281

@inproceedings{d6bedb8b497b49a39edb38f1f7060afd,

title = "Utilization-based parking space suggestion in smart city",

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.",

author = "Lin, {Chia Ying} and Lu, {Yi Lung} and Tsai, {Meng Hsun} and Chang, {Hui Ling}",

note = "Funding Information: This work was sponsored in part by Ministry of Science and Technology (MOST), Taiwan, under the contract number MOST 106-2221-E-006-007 - and Institute for Information Industry (III). Publisher Copyright: {\textcopyright} 2018 IEEE.; 15th IEEE Annual Consumer Communications and Networking Conference, CCNC 2018 ; Conference date: 12-01-2018 Through 15-01-2018",

year = "2018",

month = mar,

day = "16",

doi = "10.1109/CCNC.2018.8319281",

language = "English",

series = "CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--6",

booktitle = "CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference",

address = "United States",

}

Lin, CY, Lu, YL, Tsai, MH & Chang, HL 2018, Utilization-based parking space suggestion in smart city. in CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference. CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 15th IEEE Annual Consumer Communications and Networking Conference, CCNC 2018, Las Vegas, United States, 18-01-12. https://doi.org/10.1109/CCNC.2018.8319281

Utilization-based parking space suggestion in smart city. / Lin, Chia Ying; Lu, Yi Lung; Tsai, Meng Hsun et al.
CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6 (CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Utilization-based parking space suggestion in smart city

AU - Lin, Chia Ying

AU - Lu, Yi Lung

AU - Tsai, Meng Hsun

AU - Chang, Hui Ling

N1 - Funding Information: This work was sponsored in part by Ministry of Science and Technology (MOST), Taiwan, under the contract number MOST 106-2221-E-006-007 - and Institute for Information Industry (III). Publisher Copyright: © 2018 IEEE.

PY - 2018/3/16

Y1 - 2018/3/16

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85046939688&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85046939688&partnerID=8YFLogxK

U2 - 10.1109/CCNC.2018.8319281

DO - 10.1109/CCNC.2018.8319281

M3 - Conference contribution

AN - SCOPUS:85046939688

T3 - CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference

SP - 1

EP - 6

BT - CCNC 2018 - 2018 15th IEEE Annual Consumer Communications and Networking Conference

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th IEEE Annual Consumer Communications and Networking Conference, CCNC 2018

Y2 - 12 January 2018 through 15 January 2018

ER -

Utilization-based parking space suggestion in smart city

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this