ParkNet: drive-by sensing of road-side parking statistics

By Suhas Mathur, Tong Jin, Nikhil Kasturirangan, Janani Chandrasekaran, Wenzhi Xue, Marco Gruteser, Wade Trappe. ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services, 2010

488 citations recorded by the source corpus.

Subfields: Building and Construction, Computer Science Applications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/4ccaf9b0b7302e5c0ce71255724ae8ec76addd05

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Citations in the corpus

City Scanner: Building and Scheduling a Mobile Sensing Platform for Smart City Services (2018, methodology): “Some studies have utilized lab-grade sensors [1], whereas others employed cheaper ones [20] or smartphones [25].”
ParkUs: A Novel Vehicle Parking Detection System (2017, background): “2012), ultrasonic distance sensors mounted on vehicles (Mathur et al. 2010) and individual user reporting (Sherwin 2011).”
A Survey of Smart Parking Solutions (2017, background): “In ParkNet, taxi cabs collect data from GPS receivers and ultrasonic sensors and then transmit it over a cellular uplink to the central server.”
When things matter: A survey on data-centric internet of things (2016, background): “One study estimated a loss of $78 billion in 2007 in the form of 4.2 billion lost hours and 2.9 billion gallons of wasted gasoline in the United States alone (Mathur et al., 2010).”
Mobile crowdsensing: current state and future challenges (2011, background): “Another example is ParkNet [6], an application that detects available parking spots in cities using ultrasonic sensing devices installed on cars combined with smart phones.”
WILL: Wireless indoor localization without site survey (2012, background): “In most of today’s applications such as pervasive medicare, smart space, wireless sensor surveillance, mobile peer-to-peer computing, [1], [2], [3] etc.”
SignalGuru: leveraging mobile phones for collaborative traffic signal schedule advisory (2011, background): “Several systems have been proposed that leverage GPS, accelerometer and proximity sensors in order to estimate traffic conditions [15, 23, 27], detect road abnormalities [11], collect information for available parking spots [22] and compute fuel efficient routes [12].”
A Communications-Oriented Perspective on Traffic Management Systems for Smart Cities: Challenges and Innovative Approaches (2015, unknown): “[49] have focused on urban on-street parking”
Sybil Attacks and Their Defenses in the Internet of Things (2014, background): “One of the most value-added functionalities of IoT is to sense the environments including the living environment [28] and human body [29]–[31], enabling users to interact with the physical world [32].”
Optimal incentive-driven design of participatory sensing systems (2013, methodology): “In the same spirit but using a different approach, ParkNet [6] application detects available parking spots using ultrasonic sensing devices installed on cars, combined with smart phones.”