Ricardo Herranz
Ricardo Herranz
CEO, Nommon Solutions and Technologies
Verified email at nommon.es - Homepage
TitleCited byYear
From mobile phone data to the spatial structure of cities
T Louail, M Lenormand, OGC Ros, M Picornell, R Herranz, ...
Scientific reports 4, 5276, 2014
2332014
Cross-checking different sources of mobility information
M Lenormand, M Picornell, OG Cantú-Ros, A Tugores, T Louail, ...
PloS one 9 (8), e105184, 2014
942014
Uncovering the spatial structure of mobility networks
T Louail, M Lenormand, M Picornell, OG Cantú, R Herranz, ...
Nature communications 6, 6007, 2015
662015
Influence of sociodemographic characteristics on human mobility
M Lenormand, T Louail, OG Cantú-Ros, M Picornell, R Herranz, JM Arias, ...
Scientific reports 5, 10075, 2015
572015
Comparing and modelling land use organization in cities
M Lenormand, M Picornell, OG Cantú-Ros, T Louail, R Herranz, ...
Royal Society open science 2 (12), 150449, 2015
422015
Environmental benefits of air–rail intermodality: The example of Madrid Barajas
M Zanin, R Herranz, S Ladousse
Transportation Research Part E: Logistics and Transportation Review 48 (5 …, 2012
112012
Airport slot allocation: performance of the current system and options for reform
A Ranieri, N Alsina, L Castelli, T Bolic, R Herranz
Proceedings of the 3rd SESAR Innovation Days, Stockholm, Sweden, 26-28, 2013
82013
Urban Planning and Big Data—Taking LUTi Models to the Next Level
J Serras, M Bosredon, R Herranz, M Batty
Nordregio News, 2014
62014
Mobile phone records to feed activity-based travel demand models: MATSim for studying a cordon toll policy in Barcelona
A Bassolas, JJ Ramasco, R Herranz, OG Cantu-Ros
Transportation Research Part A: Policy and Practice 121 (March 2019), 56-74, 2019
42019
Big data analytics for a passenger-centric air traffic management system
P García, R Herranz, J Javier
Presented at the 6th SESAR Innovation Days, Delft, Netherlands, 2016
32016
Visual Analytics and Machine Learning for Air Traffic Management Performance Modelling: Preliminary Findings of the INTUIT Project and Prospects for Future Research
R Marcos, D Toribio, L Garrigó, N Alsina, N Adrienko, G Andrienko, ...
SESAR Innovation Days 2016, 2016
2*2016
Price-Setting Auctions for Airport Slot Allocation: a Multi-Airport Case Study
R Herranz, D Toribio, M Ramírez, F Villafáñez, JA Araúzo, D Poza, ...
22015
Fusing mobile phone data with other data sources to generate input OD matrices for transport models
L Montero, X Ros-Roca, R Herranz, J Barceló
Transportation research procedia 37, 417-424, 2019
12019
A Machine Learning Approach to Air Traffic Route Choice Modelling
R Marcos, O García-Cantú, R Herranz
arXiv preprint arXiv:1802.06588, 2018
12018
Application of Machine Learning for ATM Performance Assessment–Identification of Sources of En-Route Flight Inefficiency
R Marcos, O García-Cantú, R Herranz
SESAR Joint Undertaking, 2018
12018
An Agent-Based Auction Model for the Analysis of the Introduction of Competition in ATM
J Torres, D Toribio, R Marcos, OGC Ros, R Herranz
SESAR Innovation Days 2017, 2017
12017
Understanding Door-to-Door Travel Times from Opportunistically Collected Mobile Phone Records
P García-Albertos, OGC Ros, R Herranz, C Ciruelos
SESAR Innovation Days 2017, 2017
12017
Fusing mobile phone data with other data sources to generate input OD matrices for transport models
L Montero Mercadé, X Ros-Roca, R Herranz, J Barceló Bugeda
Transportation research procedia 37, 417-424, 2019
2019
Analyzing door-to-door travel times through mobile phone data
P García-Albertos, OGC Ros, R Herranz
CEAS Aeronautical Journal, 1-10, 2018
2018
Combining Visual Analytics and Machine Learning for Route Choice Prediction
R Marcos, OGC Ros, R Herranz
SESAR Innovation Days 2017, 2017
2017
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