- Home
- Publications
- Publication Search
- Publication Details
Title
Evaluating Origin–Destination Matrices Obtained from CDR Data
Authors
Keywords
-
Journal
SENSORS
Volume 19, Issue 20, Pages 4470
Publisher
MDPI AG
Online
2019-10-16
DOI
10.3390/s19204470
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Data-Driven Transit Network Design From Mobile Phone Trajectories
- (2016) Fabio Pinelli et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Understanding individual routing behaviour
- (2016) Antonio Lima et al. Journal of the Royal Society Interface
- The promises of big data and small data for travel behavior (aka human mobility) analysis
- (2016) Cynthia Chen et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Automatic identification of relevant places from cellular network data
- (2016) Marco Mamei et al. Pervasive and Mobile Computing
- Supersampling and Network Reconstruction of Urban Mobility
- (2015) Oleguer Sagarra et al. PLoS One
- Origin–destination trips by purpose and time of day inferred from mobile phone data
- (2015) Lauren Alexander et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A survey of results on mobile phone datasets analysis
- (2015) Vincent D Blondel et al. EPJ Data Science
- Urban Sensing Using Mobile Phone Network Data: A Survey of Research
- (2014) Francesco Calabrese et al. ACM COMPUTING SURVEYS
- Development of origin–destination matrices using mobile phone call data
- (2014) Md. Shahadat Iqbal et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Limits of Predictability in Commuting Flows in the Absence of Data for Calibration
- (2014) Yingxiang Yang et al. Scientific Reports
- Dynamic origin–destination demand flow estimation under congested traffic conditions
- (2013) Chung-Cheng Lu et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A universal model for mobility and migration patterns
- (2012) Filippo Simini et al. NATURE
- Understanding individual mobility patterns from urban sensing data: A mobile phone trace example
- (2012) Francesco Calabrese et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Estimating Origin-Destination Flows Using Mobile Phone Location Data
- (2011) Francesco Calabrese et al. IEEE PERVASIVE COMPUTING
- Dynamic Origin–Destination Flow Estimation Using Cellular Communication System
- (2008) Keemin Sohn et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Understanding individual human mobility patterns
- (2008) Marta C. González et al. NATURE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started