An intelligent driver location system for smart parking

  • Authors:

  • Kun-Chan Lan;Wen-Yuah Shih

  • Affiliations:

  • Department of Computer Science and Information Engineering, National Cheng Kung University, No. 1, University Road, Tainan City 701, Taiwan, ROC;Department of Computer Science, National Chiao Tung University, No. 1001, University Road, Hsinchu 30010, Taiwan, ROC

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2014

Quantified Score

Hi-index 12.05

Visualization

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 0.48m.