A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Identifying Active Travel Behaviors in Challenging Environments Using GPS, Accelerometers, and Machine Learning Algorithms
2014
Frontiers in Public Health
Preserved Fulltext
Methods: We collected a dataset of about 150 h of GPS and accelerometer data from two research assistants following a protocol of prescribed trips consisting of five activities: bicycling, riding in a ...
In this paper, we present a supervised machine learning method for transportation mode prediction from global positioning system (GPS) and accelerometer data. ...
The net distance covered feature is computed from the GPS data, by simply computing the distance between the first and last latitude and longitude points in a data window. ...
doi:10.3389/fpubh.2014.00036
pmid:24795875
pmcid:PMC4001067
fatcat:twewgjua3neglo23ojmdao5maa
An Adaptive Staying Point Recognition Algorithm Based on Spatiotemporal Characteristics Using Cellular Signaling Data
2021
IEEE transactions on intelligent transportation systems (Print)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Then, rules to distinguish the staying or moving cluster are made from individual travel characteristics. ...
In this work, a "spatiotemporal window"-based algorithm is proposed to recognize individual staying and moving states. ...
We mapped the staying points identified from each travel trajectory in Fig. 13 and compared them with the actual staying positions.
D. ...
doi:10.1109/tits.2021.3094636
fatcat:2qi7z674v5av5hndlqtt2cftyi
An open-source tool to identify active travel from hip-worn accelerometer, GPS and GIS data
2018
International Journal of Behavioral Nutrition and Physical Activity
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
We also manually identified the travel behaviour of both 21 participants from ENABLE London (402,749 points), and 10 participants from a separate study (STAMP-2, 210,936 points), who were not included ...
Here we provide an open source tool to quantify time spent stationary and in four travel modes(walking, cycling, train, motorised vehicle) from accelerometer measured physical activity data, combined with ...
First, we extracted a subset of the training data to test different moving window sizes: if a participant contributed multiple days to the training data, we took the first day to test moving windows. ...
doi:10.1186/s12966-018-0724-y
pmid:30241483
pmcid:PMC6150970
fatcat:6bnpol2o4zbunelr3nfo7hzf4a
Urban travel time data cleaning and analysis for Automatic Number Plate Recognition
2020
Transportation Research Procedia
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Travel time extracted from ANPR data includes some outliers which are often caused by drivers who have an intermediate stop between two observation points or deviate from the straight route. ...
The wavelet analysis method is compared with the Rapid-Moving Window method and shows to be more accurate in outlier identification. ...
Fig. 1 . 1 (a) Raw travel times; (b) Outliers identified with Rapid-Moving Window method for Link 1225-1227 on Apr. 20, 2015. ...
doi:10.1016/j.trpro.2020.03.151
fatcat:j4pxkne7gzhi7af5bg725bstsa
A Review of GPS Trajectories Classification Based on Transportation Mode
2018
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
GPS trajectories generated by moving objects provide researchers with an excellent resource for revealing patterns of human activities. ...
From a GPS data acquisition point of view, this paper macroscopically classifies the transportation mode of GPS data into single-mode and mixed-mode. ...
Compared with passive data collection, transportation mode of GPS data using active way mainly depends on users' behavior. ...
doi:10.3390/s18113741
pmid:30400204
fatcat:mj2czfs5hvae5im4du5fzw4zky
MARITIME BIG DATA ANALYSIS WITH ARLAS
2021
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
We use a Hidden Markov Model (HMM) to identify when a vessel is still or moving and we create "courses", embodying the travel of the vessel. Then we derive the travel indicators. ...
However, the exploitation of these numerous messages requires tools based on Big Data principles.Acknowledgement of origin, destination, travel duration and distance of each vessel can help transporters ...
like to thank the Gisaïa team for this collective effort, particularly Laurent Dezou for leading a company that values innovation and research for societal issues, Mohamed Hamou for his wonderful help with ...
doi:10.5194/isprs-archives-xlvi-4-w2-2021-71-2021
fatcat:hkxczpqxhjdkhgntd2p4k5aqs4
VJAǴǴ– A Thick-Client Smart-Phone Journey Detection Algorithm
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
The algorithm can be embedded in the client app of the transport service provider or in a general purpose mobility data collector. ...
The thick client setup allows the customer/participant to select which journeys are transferred to the server, keeping customers in control of their personal data and encouraging user uptake. ...
Vjaġġ is able to anonymously and seamlessly collect travel data from participants, using the device's GPS receiver and accelerometer. ...
arXiv:1908.10725v2
fatcat:7c5ef4db4bew3iqeqjhwyo3hem
Visualizing Hidden Themes of Taxi Movement with Semantic Transformation
2014
2014 IEEE Pacific Visualization Symposium
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Urban planners, administration, travelers, and drivers can conduct their various knowledge discovery tasks with direct semantic and visual assists. ...
The effectiveness of this approach is illustrated by case studies using a large taxi trajectory data set acquired from 21,360 taxis in a city. ...
Speed Compensation The GPS positions that are acquired with regular time intervals create bias toward slower moving roads with more samples. ...
doi:10.1109/pacificvis.2014.50
dblp:conf/apvis/ChuSZWYZC14
fatcat:nupfyrsxj5atvogjdvkjcp3lvi
Quantification of Free-Living Community Mobility in Healthy Older Adults Using Wearable Sensors
2018
Frontiers in Public Health
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Participants wore, for 14 days during waking hours on the hip, a data logger incorporating a GPS receiver with a 3-axis accelerometer. ...
The objectives of this paper are to present and illustrate the signal processing workflow and outcomes that can be extracted from an activity and community mobility measurement approach based on GPS and ...
Activity space, a concept originating from medical geography and defined as "the local areas within which people move or travel in the course of their daily activities" (13) has been used to examine ...
doi:10.3389/fpubh.2018.00216
pmid:30151357
pmcid:PMC6099098
fatcat:7w2i4rhicrg4phcnvy7ywkoys4
A behavior observation tool (BOT) for mobile device network connection logs
2014
Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
In order to observe user behavior from this kind of data set, we propose a new algorithm, namely Behavior Observation Tool (BOT), which uses Convex Hull Algorithm with sliding time windows to model the ...
active areas of users. ...
Travel Patterns How the user from one active area to another, i.e. the travel pattern, is also often of great interests in mobility observation studies. ...
doi:10.1145/2567948.2580069
dblp:conf/www/Wang14
fatcat:72igsfwquve67bd2fkmvw3kb7a
Transportation mode detection – an in-depth review of applicability and reliability
2016
Transport reviews
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The wide adoption of location-enabled devices, together with the acceptance of services that leverage (personal) data as payment, allows scientists to push through some of the previous barriers imposed ...
of data collecting outlets. ...
The next challenge is related to data acquisition and it is two-fold: 1) identify how to collect data from multiple users without (substantial) extra costs, and 2) having a "benchmark" dataset, which is ...
doi:10.1080/01441647.2016.1246489
fatcat:642ssymlbncrlczs63eytnaxrq
Using a Partial Sum Method and GPS Tracking Data to Identify Area Restricted Search by Artisanal Fishers at Moored Fish Aggregating Devices in the Commonwealth of Dominica
2015
PLoS ONE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Faster, more directed movement is associated with travel. ...
These patches can be identified behaviorally when a forager shifts from travel to area restricted search, identified by a decrease in speed and an increase in sinuosity of movement. ...
Variance in speeds is clearly apparent with the points color-coded and showing that activities at the patches involve all three modes of speed identified from the k-means analysis. ...
doi:10.1371/journal.pone.0115552
pmid:25647288
pmcid:PMC4315603
fatcat:epsu353gmvgg5ju2acmwvkfobq
Discover User Behaviour from Trajectory as Polygons (TaP)
2014
International Journal of Applied Physics and Mathematics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In particular, we found TaP effectively extract trajectory properties from polygons generated by convex hull algorithm with a time window. ...
A lot of work has been developed to find useful information from these data and various approaches has been proposed. ...
Travel Patterns How the object from one active area to another, i.e. the travel pattern is also often of great interests in mobility observation studies. ...
doi:10.7763/ijapm.2014.v4.250
fatcat:3abkesw2dnco7fdqckp2vmakbe
Analysis of human mobility patterns from GPS trajectories and contextual information
2015
International Journal of Geographical Information Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Can these places be identified from GPS traces? ...
While this has spurred many methodological developments in identifying human movement patterns, many of these methods operate solely from the analytical perspective and ignore the environmental context ...
It scans each trajectory using two moving windows -one facing backwards and one forwards and then sums the STKW values within both windows. ...
doi:10.1080/13658816.2015.1100731
fatcat:stv2r4ve65b7hi53wkhc6hkopq
The Effects of GPS-Based Buffer Size on the Association between Travel Modes and Environmental Contexts
2019
ISPRS International Journal of Geo-Information
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
contexts and active travel modes (ATMs) as a subset of physical activity vary with GPS-based buffer size. ...
with buffer analysis. ...
Method
GPS Data The GPS data and daily activity diaries collected in the Chicago Regional Household Travel Inventory (CRHTI) project were used in this study. ...
doi:10.3390/ijgi8110514
fatcat:5nqaend3tzc35l5cwozbk465uq
« Previous
Showing results 1 — 15 out of 17,837 results