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Output details

15 - General Engineering

University of Kent

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Output 54 of 84 in the submission

Output title

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

Type

E - Conference contribution

DOI

10.1145/2500423.2500438

Name of conference/published proceedings

In Proceedings of the 19th ACM International Conference on Mobile Computing and Networking (MOBICOM 2013). Miami, FL, USA

Volume number

Issue number

First page of article

ISSN of proceedings

Year of publication

2013

URL

Number of additional authors

Additional information

The paper presents a novel technique for a smartphone-based sensing system that detects parking behaviour, while avoiding the capture of actual location traces of the user. Parking and driving detection relies on a robust WiFi signature matching technique that maintains a low energy footprint, consuming 26% of the energy consumed by a network-based approach, and 48% of a GPS-based approach. It is published at the highly respected ACM MobiCom Conference. Following this work, a collaboration with Parkopedia (Eugene Tsyrklevic eugene@parkopedia.com) was established offering us access to data and infrastructure resources, in order to design an integrated parking prediction system.

Interdisciplinary

Cross-referral requested

Research group

3 - Image and information engineering

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract