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ParkSense: A Smartphone Based Sensing System For On-Street Parking

Nawaz, Sarfraz, Efstratiou, Christos, Mascolo, Cecilia (2013) ParkSense: A Smartphone Based Sensing System For On-Street Parking. In: Proceedings of the 19th ACM International Conference on Mobile Computing and Networking (MOBICOM 2013), September 2013, Miami, FL, USA.

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Abstract

Studies of automotive traffic have shown that on average 30% of traffic in congested urban areas is due to cruising drivers looking for parking. While we have witnessed a push towards sensing technologies to monitor real-time parking availability, instrumenting on-street parking throughout a city is a considerable investment. In this paper, we present ParkSense, a smartphone based sensing system that detects if a driver has vacated a parking spot. ParkSense leverages the ubiquitous Wi-Fi beacons in urban areas for sensing unparking events. It utilizes a robust Wi-Fi signature matching approach to detect driver’s return to the parked vehicle. Moreover, it uses a novel approach based on the rate of change of Wi-Fi beacons to sense if the user has started driving. We show that the rate of change of the observed beacons is highly correlated with actual user speed and is a good indicator of whether a user is in a vehicle. Through empirical evaluation, we demonstrate that our approach has a significantly smaller energy footprint than traditional location sensors like GPS and Wi-Fi based positioning while still maintaining sufficient accuracy.

Item Type: Conference or workshop item (Paper)
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK6540 Radio > TK6570.M6 Mobile communication systems
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Digital Media
Depositing User: Christos Efstratiou
Date Deposited: 17 Oct 2013 09:54 UTC
Last Modified: 29 May 2019 11:07 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35494 (The current URI for this page, for reference purposes)
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