On-street parking guidance with real-time sensing data for smart cities

Kin Sum Liu, Jie Gao, Xiaobing Wu, Shan Lin

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

14 Scopus citations

Abstract

On-street parking is an essential component of parking infrastructure for smart cities, which allows users to park near their destinations for short term. However, due to limited capacity, saturated on-street parking becomes a serious and widespread problem for urban transportation systems. Greedily searching for an on-street parking spot in a saturated area is often a frustrating task for drivers, and cruising for vacant parking spots results in additional delays and impaired local circulation. With the recent development of networked smart parking meter, real-time city-wide on-street parking information becomes available for more efficient parking management. In this paper, we design an online parking guidance system that recommends parking spots in real-time based on the parking availability prediction. With a receding horizon optimization framework, our solution minimizes the user's driving and walking cost by adapting the spatiotemporally dynamic supply and demand in the local area, significantly reducing parking competitions in a timely manner. We implement and evaluate our solution with a dataset of 13,503,655 parking records collected from 5228 in-ground sensors distributed in the Australian city Melbourne. The evaluation results show that our approach achieves up to 63.8% delay reduction compared with existing solutions.

Original languageEnglish (US)
Title of host publication2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-9
Number of pages9
ISBN (Electronic)9781538642818
DOIs
StatePublished - Jun 26 2018
Externally publishedYes
Event15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018 - Hung Hom, Kowloon, Hong Kong
Duration: Jun 11 2018Jun 13 2018

Publication series

Name2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018

Other

Other15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018
Country/TerritoryHong Kong
CityHung Hom, Kowloon
Period6/11/186/13/18

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Computer Networks and Communications

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