ParkUs 2.0: Automated cruise detection for parking availability inference

Michael Jones, Aftab Khan, Parag Kulkarni, Pietro Carnelli, Mahesh Sooriyabandara

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

11 Citations (Scopus)

Abstract

Recent studies show that a key contributor to congestion and increased CO2 emissions within cities are drivers searching (or cruising) to find a vacant on-street parking space. It has been shown that approximately (depending on the city) 20-30% of vehicles in congested urban areas were cruising to find a parking space with a parking search time varying in the order of several minutes. In the city of Bristol alone, we have shown, using our collected trip and publicly available census data that over 790 metric tons of CO2 is generated every year due to cruising. At a total cost of 368, 000 (US$467, 000) in terms of fuel wasted. The solution, described in this paper, aims to reduce parking search times using our automated real-time parking system called ParkUs 2.0. Our proposed method leverages sensor and location data collected from smartphones (carried by drivers), uses machine learning (classification) to detect cruising behaviour, automatically annotates parking availability on road segments based on the classified data and displays this information as a heatmap of parking availability information on the user’s smartphone. This is the first such attempt to automatically detect cruising to the best of our knowledge. Evaluation through controlled trials with volunteer participants highlights the potential of our novel approach as we are able to detect cruising with an accuracy of 81%.

Original languageEnglish
Title of host publication14th EAI International Conference on Mobile and Ubiquitous Systems
Subtitle of host publicationComputing, Networking and Services, MobiQuitous 2017
PublisherAssociation for Computing Machinery
Pages242-251
Number of pages10
ISBN (Print)9781450353687
DOIs
Publication statusPublished - Nov 7 2017
Externally publishedYes
Event14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2017 - Melbourne, Australia
Duration: Nov 7 2017Nov 10 2017

Publication series

NameACM International Conference Proceeding Series

Conference

Conference14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2017
Country/TerritoryAustralia
CityMelbourne
Period11/7/1711/10/17

Keywords

  • Activity recognition
  • Automated annotation
  • Cruise detection
  • Mobile sensing
  • Smart parking

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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