An intelligent driver location system for smart parking

Kun Chan Lan, Wen Yuah Shih*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

It is often frustrating for drivers to find parking spaces, and parking itself is costly in almost every major city in the world. Here we propose a crowdsourcing solution by exploiting sensors in smart-phones to collect real-time parking availability information. We design a phone-based system to track a driver's trajectory to detect when they are about to leave their parking spot. We focus on the efficiency and accuracy of using a phone to monitor the driver's walking trajectory, applying a waist-mounted PDR method that can measure the driver's moving distance with a high accuracy. In addition, we design a map matching algorithm to calibrate the direction errors when the driver is in an indoor environment, using widely-available building floor plans. The results of our experiment show that we can achieve about 98% accuracy in estimating the user's walking distance, with an overall location error of about 0.48 m.

Original languageEnglish
Pages (from-to)2443-2456
Number of pages14
JournalExpert Systems with Applications
Volume41
Issue number5
DOIs
StatePublished - Apr 2014

Keywords

  • Floor plan
  • Map matching
  • Pedestrian dead reckoning
  • Simple harmonic motion
  • Smart parking
  • ZUPT

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