A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities
Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
Deriving personal trip data from GPS data: A literature review on the existing methodologies
GPS technology was used in person trip (PT) survey since mid-1990, and this technology
achieved its popularity because of the improvement of accuracy and portability of GPS …
achieved its popularity because of the improvement of accuracy and portability of GPS …
The jigsaw continuous sensing engine for mobile phone applications
Supporting continuous sensing applications on mobile phones is challenging because of
the resource demands of long-term sensing, inference and communication algorithms. We …
the resource demands of long-term sensing, inference and communication algorithms. We …
Recruitment framework for participatory sensing data collections
S Reddy, D Estrin, M Srivastava - … 2010, Helsinki, Finland, May 17-20 …, 2010 - Springer
Mobile phones have evolved from devices that are just used for voice and text
communication to platforms that are able to capture and transmit a range of data types …
communication to platforms that are able to capture and transmit a range of data types …
Transportation mode inference from anonymized and aggregated mobile phone call detail records
H Wang, F Calabrese, G Di Lorenzo… - 13th International IEEE …, 2010 - ieeexplore.ieee.org
Transportation mode inference is an important research direction and has many
applications. Existing methods are usually based on fine-grained sampling-collecting …
applications. Existing methods are usually based on fine-grained sampling-collecting …
Piggyback crowdsensing (pcs) energy efficient crowdsourcing of mobile sensor data by exploiting smartphone app opportunities
Fueled by the widespread adoption of sensor-enabled smartphones, mobile crowdsourcing
is an area of rapid innovation. Many crowd-powered sensor systems are now part of our …
is an area of rapid innovation. Many crowd-powered sensor systems are now part of our …
Entracked: energy-efficient robust position tracking for mobile devices
MB Kjærgaard, J Langdal, T Godsk… - Proceedings of the 7th …, 2009 - dl.acm.org
An important feature of a modern mobile device is that it can position itself. Not only for use
on the device but also for remote applications that require tracking of the device. To be …
on the device but also for remote applications that require tracking of the device. To be …
Transportation mode-based segmentation and classification of movement trajectories
F Biljecki, H Ledoux… - International Journal of …, 2013 - Taylor & Francis
The knowledge of the transportation mode used by humans (eg bicycle, on foot, car and
train) is critical for travel behaviour research, transport planning and traffic management …
train) is critical for travel behaviour research, transport planning and traffic management …
Transportation mode identification with GPS trajectory data and GIS information
J Li, X Pei, X Wang, D Yao, Y Zhang… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
Global Positioning System (GPS) trajectory data can be used to infer transportation modes at
certain times and locations. Such data have important applications in many transportation …
certain times and locations. Such data have important applications in many transportation …
Estimating MFDs, trip lengths and path flow distributions in a multi-region setting using mobile phone data
The present work proposes a global framework to estimate all MFD model parameters using
mobile phone data. The three major components that are estimated in the present context …
mobile phone data. The three major components that are estimated in the present context …