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Exploring a New Model for Mobile Positioning Based on CDR Data of The Cellular Networks
[article]
2019
arXiv
pre-print
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The emerging technologies related to mobile data especially CDR data has great potential for mobility and transportation applications. ...
For example by introducing more sophisticated movement model based on data-driven modeling and a map matching that uses the movement model type detected by matching "Stay" location to buildings and "Move ...
The data used for testing contains 649 CDR records provided by the mobile operator for six different users for almost a period of one month. ...
arXiv:1902.09399v1
fatcat:dc66wjgpn5cgzdjos2ltnn7s7y
Applying Big Data Analytics to Monitor Tourist Flow for the Scenic Area Operation Management
2019
Discrete Dynamics in Nature and Society
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The analysis shows that the big data analysis method based on the CDR data of mobile phones can provide real-time information about tourist behaviours in a timely and effective manner. ...
In this paper, the author uses the Big Data technology and Call Detail Record (CDR) data with the mobile phone real-time location information to monitor the tourist flow and analyse the travel behaviour ...
Based on the continuous development of positioning technology in mobile communication, the tourist flow analysis with Call Detail Record (CDR) data can provide real-time valid data for scenic flow control ...
doi:10.1155/2019/8239047
fatcat:s25v3py3n5eyxcalwthh4wmlpu
Transport mode detection based on mobile phone network data: A systematic review
2019
Transportation Research Part C: Emerging Technologies
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This paper provides an in-depth, systematic review of transport mode detection based on mobile phone network data. ...
This paper provides an in-depth, systematic review of transport mode detection based on mobile phone network data. ...
There are two categories of search terms, and at least one term from each category must be matched: 1) mobile phone network data*, mobile phone networking data*, call detail record*, CDR, cellular network ...
doi:10.1016/j.trc.2019.02.008
fatcat:hlmjnl7imjbj5hkjyu4vchbdja
MODELING CITY PULSATION VIA MOBILE DATA
2020
International Journal of Engineering Technologies and Management Research
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on CDRs (Call Detail Records) data. ...
How life patterns and individuals' mobility could be extracted for this region from mobile DB (CDRs)? ...
The adaptive and non-parametric method for identification of dense areas is based on using the ubiquitous infrastructure provided by cell phone network [1] . ...
doi:10.29121/ijetmr.v5.i4.2018.215
fatcat:kda64ekbxnho5mx6durczk23gi
Modeling City Pulsation Via Mobile Data
2018
Zenodo
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on CDRs (Call Detail Records) data. ...
How life patterns and individuals' mobility could be extracted for this region from mobile DB (CDRs)? ...
The adaptive and non-parametric method for identification of dense areas is based on using the ubiquitous infrastructure provided by cell phone network [1] . ...
doi:10.5281/zenodo.1250517
fatcat:drlds76fefhvzn3ziiwwv6rkbi
Measuring similarity of mobile phone user trajectories– a Spatio-temporal Edit Distance method
2013
International Journal of Geographical Information Science
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records (CDRs). ...
This paper contributes to this research area by developing the Spatio-temporal Edit Distance measure, an extended algorithm to determine the similarity between user trajectories based on call detailed ...
the same mobile phone tower. ...
doi:10.1080/13658816.2013.854369
fatcat:mfunti2b7baafpiixgvay5vrpe
On Recommending Opportunistic Rides
2017
IEEE transactions on intelligent transportation systems (Print)
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Research on social and mobile technologies recently provided tools to collect and mine massive amounts of mobility data. Ride sharing is one of the most prominent applications in this area. ...
We present a set of algorithms to analyse urban mobility traces and to recognise matching rides along similar routes. These rides are amenable for ride sharing recommendations. ...
Detail Records (CDR) collected over the cellular network as the main source of localization and mobility data. ...
doi:10.1109/tits.2017.2684625
fatcat:2qgcx4wbxzhedmttbqnptc7mni
Bayesian Inference for Localization in Cellular Networks
2010
2010 Proceedings IEEE INFOCOM
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We study important parameters used in this Bayesian method through mining call data records and matching GPS records and obtain their distribution or typical values. ...
In this paper, we present a general technique based on Bayesian inference to locate mobiles in cellular networks. ...
Another data set is referred to as "Call Data Records" (CDRs). This is a separate data set and we match the E911 calls to records in this set. ...
doi:10.1109/infcom.2010.5462018
dblp:conf/infocom/ZangBB10
fatcat:eer4drpddve7pj2y3mibofymea
The promises of big data and small data for travel behavior (aka human mobility) analysis
2016
Transportation Research Part C: Emerging Technologies
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One field comprises transportation researchers who have been working in the field for decades and the other involves new comers from a wide range of disciplines, but primarily computer scientists and physicists ...
It is thus the purpose of this paper to introduce datasets, concepts, knowledge and methods used in these two fields, and most importantly raise cross-discipline ideas for conversations and collaborations ...
Acknowledgements Funding for this research is provided by a NSF (National Science Foundation) Grant (CMMI 1200275) and a NIH (National Institute of Health) grant (1R01GM108731-01A1) to Cynthia Chen. ...
doi:10.1016/j.trc.2016.04.005
pmid:27182125
pmcid:PMC4862004
fatcat:yumi6fcin5enhoffqabhp4erny
Identification and Prediction of Large Pedestrian Flow in Urban Areas Based on a Hybrid Detection Approach
2016
Sustainability
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In particular, a hybrid pedestrian flow detection model was constructed by analyzing real data from major mobile phone operators in China, including information from smartphones and base stations (BS). ...
With the hybrid model, the Log Distance Path Loss (LDPL) model was used to estimate the pedestrian density from raw network data, and retrieve information with the Gaussian Progress (GP) through supervised ...
K.Z. integrated the RSS method into the analysis, and wrapped up each component of the model, so as to achieve one formal research paper. ...
doi:10.3390/su9010036
fatcat:e6gybjnxc5hxtdtmaqropvk7l4
Commentary: Containing the Ebola Outbreak - the Potential and Challenge of Mobile Network Data
2014
PLOS Currents
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In this commentary, we outline the utility of CDRs for understanding human mobility in the context of the Ebola, and highlight the need to develop protocols for rapid sharing of operator data in response ...
In this commentary, we outline the utility of CDRs for understanding human mobility in the context of the Ebola, and highlight the need to develop protocols for rapid sharing of operator data in response ...
APPENDIX 1 Containing the Ebola outbreak -the potential and challenge of mobile network data: Appendix 1
Materials and Methods We analyzed a number of existing data sources from national census microdata ...
doi:10.1371/currents.outbreaks.0177e7fcf52217b8b634376e2f3efc5e
pmid:25642369
pmcid:PMC4205120
fatcat:u4yzp7zr6vhsjegv47fep3bbgu
The fallacy of the closest antenna: Towards an adequate view of device location in the mobile network
[article]
2021
arXiv
pre-print
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This view is shared by numerous papers that exploit mobile phone data for studying human spatial mobility. ...
The partition of the Mobile Phone Network (MPN) service area into the cell towers' Voronoi polygons (VP) may serve as a coordinate system for representing the location of the mobile phone devices. ...
Billing of the MPN services is based on Call-Detail Records (CDR) of the Mobile Phone (MP) connections recorded by an MPN operator. ...
arXiv:2109.02154v1
fatcat:nesyxkt2cnffpoob5kn2ptb3je
Exploring Group Movement Pattern through Cellular Data: A Case Study of Tourists in Hainan
2019
ISPRS International Journal of Geo-Information
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To address such challenges, we propose a method called group movement pattern mining based on similarity (GMPMS) to discover tourist groups. ...
In this paper, we present a framework to discover tourist groups and investigate the tourist behaviors using mobile phone call detail records (CDRs). ...
We propose a method called group movement pattern mining based on similarity (GMPMS) to identify tourist groups with sparse CDR data. ...
doi:10.3390/ijgi8020074
fatcat:q5gaj6xz4rdxlndzdnp74mzp2m
Route classification using cellular handoff patterns
2011
Proceedings of the 13th international conference on Ubiquitous computing - UbiComp '11
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Second, we present two accurate classification algorithms for matching cellular handoff patterns to routes: one requires test drives on the routes while the other uses signal strength data collected by ...
Distance. ...
ACKNOWLEDGEMENTS We thank Mike Orth for providing us with the Nova RF data and Colin Goodall and Siva Prakasam for collecting and anonymizing the CDR data we used in this paper. ...
doi:10.1145/2030112.2030130
dblp:conf/huc/BeckerCHLUVV11
fatcat:hze6pn47wvgp7aa4covsy2cvyi
Bayesian Framework For Mobility Pattern Discovery Using Mobile Network Events
2018
Zenodo
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Fillekes [10] developed individual trajectory reconstruction techniques based on Call Detail Record (CDR) data. ...
In this research, focusing solely on network signals, accurate GPS-based anchor locations for individual movements like [13] can not be used. ...
doi:10.5281/zenodo.1160149
fatcat:e6rz5dekyjedbm7atvhhzuct2y
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