The participact mobile crowd sensing living lab: The testbed for smart cities

By Giuseppe Cardone, Andrea Cirri, Antonio Corradi, Luca Foschini. 2014

119 citations recorded by the source corpus.

Subfields: Computer Science Applications, Computer Vision and Pattern Recognition, Transportation

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Chau Yuen
2. Francesco Restuccia
3. F. Yu
4. Sajal K. Das
5. Giuseppe Lo Re
6. Pierluca Ferraro

In Transportation

1. Chau Yuen
2. Billy Pik Lik Lau
3. Sajal K. Das
4. U-Xuan Tan

Citations in the corpus

• A survey of data fusion in smart city applications (2019, background): “Mobile sensing [106], [167] offers greater sensing capability by leveraging the mobility of moving objects (vehicles or humans).”
• A Survey of Blockchain Technology Applied to Smart Cities: Research Issues and Challenges (2019, methodology): “The ParticipAct Living Lab testbed [99] monitored the behaviour of 300 students at the University of Bologna over the course of one year to conduct Mobile Crowd Sensing (MCS) experiments.”
• A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities (2019, methodology): “The ParticipAct Living Lab is a large-scale experiment of the University of Bologna involving in crowdsensing campaigns 173 students in the Emilia Romagna region (Italy) on a period of 15 months using Android smartphones [64], [258].”
• FIRST (2018, background): “Realizing its great potential, many researchers have developed various applications based on this paradigm, including road traffic monitoring [13, 14, 46], information sharing [6, 17], environmental and crime monitoring [4, 5, 39], just to name a few.”