ParkNet-MobiSys10 - ParkNet: Drive-by Sensing of Road-Side...

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Unformatted text preview: ParkNet: Drive-by Sensing of Road-Side Parking Statistics Suhas Mathur, Tong Jin, Nikhil Kasturirangan, Janani Chandrashekharan, Wenzhi Xue, Marco Gruteser, Wade Trappe WINLAB, Rutgers University, 671 Route 1 South, North Brunswick, NJ, USA {suhas, tongjin, lihkin, janani, wenzhi, trappe, [email protected] ABSTRACT Urban street-parking availability statistics are challenging to obtain in real-time but would greatly benefit society by reducing traffic congestion. In this paper we present the de- sign, implementation and evaluation of ParkNet , a mobile system comprising vehicles that collect parking space occu- pancy information while driving by. Each ParkNet vehicle is equipped with a GPS receiver and a passenger-side-facing ultrasonic rangefinder to determine parking spot occupancy. The data is aggregated at a central server, which builds a real-time map of parking availability and could provide this information to clients that query the system in search of parking. Creating a spot-accurate map of parking avail- ability challenges GPS location accuracy limits. To address this need, we have devised an environmental fingerprinting approach to achieve improved location accuracy. Based on 500 miles of road-side parking data collected over 2 months, we found that parking spot counts are 95% accurate and occupancy maps can achieve over 90% accuracy. Finally, we quantify the amount of sensors needed to provide ade- quate coverage in a city. Using extensive GPS traces from over 500 San Francisco taxicabs, we show that if ParkNet were deployed in city taxicabs, the resulting mobile sensors would provide adequate coverage and be more cost-effective by an estimated factor of roughly 10-15 when compared to a sensor network with a dedicated sensor at every parking space, as is currently being tested in San Francisco. Categories and Subject Descriptors C.3 [ Special-Purpose and Application-Based Systems ]: General Terms Algorithms, Design, Experimentaion, Measurement 1. INTRODUCTION Automotive traffic congestion imposes significant societal costs. One study [1] estimated a loss of $78 billion in 2007 Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. MobiSys’10, June 15–18, 2010, San Francisco, California, USA. Copyright 2010 ACM 978-1-60558-985-5/10/06 ... $10 .00. Figure 1: Categorization of urban sensing applica- tions by required location accuracy and relative dy- namics of the process being monitored....
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This note was uploaded on 08/25/2011 for the course EEL 6788 taught by Professor Boloni,l during the Spring '08 term at University of Central Florida.

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ParkNet-MobiSys10 - ParkNet: Drive-by Sensing of Road-Side...

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