, Bureau of Transportation Statistics, About BTS
, CODA digest -all-causes delay and cancellations to air transport in europe -2017, 2017.
Analysis of Aircraft Arrival and Departure Delay Characteristics, AIAA's Aircraft Technology, Integration, and Operations (ATIO) 2002 Technical Forum, 2002. ,
Characterization and prediction of air traffic delays, Transportation Research Part C: Emerging Technologies, vol.44, pp.231-241, 2014. ,
Airport delay prediction using weather-impacted traffic index (WITI) model, 29th Digital Avionics Systems Conference, 2010. ,
Short-term national airspace system delay prediction using weather impacted traffic index, Journal of guidance, control, and dynamics, vol.32, issue.2, pp.657-662, 2009. ,
Real-time investigation of flight delays based on the Internet of Things data, Advanced Data Mining and Applications, vol.10086, pp.788-800, 2016. ,
, NextGen Integration and Implementation Office, Federal Aviation Administration, 2009.
SESAR: towards the new generation of air traffic management systems in europe, Journal of Air Traffic Control, vol.48, issue.1, pp.11-14, 2006. ,
, Smart travel: Unlocking economic growth and development through travel facilitation, vol.11, 2013.
Passenger-Oriented Enhanced Metrics, p.8, 2012. ,
Flight operations recovery: New approaches considering passenger recovery, Journal of Scheduling, vol.9, issue.3, pp.279-298, 2006. ,
Methods for analysis of passenger trip performance in a complex networked transportation system, 2007. ,
, The passenger IT trends survey, 2014.
Implementing and validating air passenger-centric metrics using mobile phone data, Journal of Aerospace Information Systems, 2018. ,
Passenger-centric metrics for Air Transportation leveraging mobile phone and Twitter data, Data-Driven Intelligent Transportation Workshop -IEEE International Conference on Data Mining, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-02078088
Big Data Analytics for a Passenger-Centric Air Traffic Management System, p.8, 2016. ,
Understanding Door-to-Door Travel Times from Opportunistically Collected Mobile Phone Records, 2017. ,
Monthly active twitter users in the united states ,
Why we twitter: Understanding microblogging usage and communities, Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis -WebKDD/SNA-KDD '07, pp.56-65, 2007. ,
A few chirps about Twitter, Proceedings of the First Workshop on Online Social Networks -WOSP '08, p.19, 2008. ,
Social networks that matter: Twitter under the microscope, 2008. ,
Twitter-based information distribution during the 2009 Red River Valley flood threat, Bulletin of the American Society for Information Science and Technology, vol.36, issue.5, pp.13-17, 2010. ,
Microblogging during two natural hazards events: What twitter may contribute to situational awareness, p.10, 2010. ,
Applications of Topics Models to Analysis of Disaster-Related Twitter Data, p.4, 2009. ,
Practical text mining and statistical analysis for non-structured text data applications, vol.133, 2012. ,
An ensemble sentiment classification system of Twitter data for airline services analysis, 2015 IEEE International Conference on Data Mining Workshop (ICDMW), pp.1318-1325, 2015. ,
Latent Dirichlet Allocation, Journal of machine Learning research, pp.993-1022, 2003. ,
Software Framework for Topic Modelling with Large Corpora, p.5 ,
Scikit-learn: Machine Learning in Python, Machine Learning in Python, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00650905
Forecasting at Scale, The American Statistician, vol.72, issue.1, pp.37-45, 2018. ,
Prophet -Forecasting at scale ,
Classification and regression trees. Routledge, 2017. AUTHOR BIOGRAPHIES ,
, he was with the Department of Aeronautics and Astronautics, Massachusetts Institute of Technology. Daniel Delahaye received an Engineer degree from ENAC, a Master of Science in signal processing from the national polytechnic institute of Toulouse, 1993.