Eleni I. Vlahogianni
Eleni I. Vlahogianni
School of Civil Engineering, National Technical University of Athens, Greece
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα central.ntua.gr - Αρχική σελίδα
ΤίτλοςΠαρατίθεται απόΈτος
Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach
EI Vlahogianni, MG Karlaftis, JC Golias
Transportation Research Part C: Emerging Technologies 13 (3), 211-234, 2005
5612005
Short-term traffic forecasting: Where we are and where we’re going
EI Vlahogianni, MG Karlaftis, JC Golias
Transportation Research Part C: Emerging Technologies 43, 3-19, 2014
5592014
Statistical methods versus neural networks in transportation research: Differences, similarities and some insights
MG Karlaftis, EI Vlahogianni
Transportation Research Part C: Emerging Technologies 19 (3), 387–399, 2011
5352011
Short‐term traffic forecasting: Overview of objectives and methods
EI Vlahogianni, JC Golias, MG Karlaftis
Transport reviews 24 (5), 533-557, 2004
4832004
Spatio‐temporal short‐term urban traffic volume forecasting using genetically optimized modular networks
EI Vlahogianni, MG Karlaftis, JC Golias
Computer‐Aided Civil and Infrastructure Engineering 22 (5), 317-325, 2007
1252007
Statistical methods for detecting nonlinearity and non-stationarity in univariate short-term time-series of traffic volume
EI Vlahogianni, MG Karlaftis, JC Golias
Transportation Research Part C: Emerging Technologies 14 (5), 351-367, 2006
1142006
Overview of critical risk factors in Power-Two-Wheeler safety
EI Vlahogianni, G Yannis, JC Golias
Accident Analysis & Prevention 49, 12-22, 2012
922012
Temporal evolution of short‐term urban traffic flow: a nonlinear dynamics approach
EI Vlahogianni, MG Karlaftis, JC Golias
Computer‐Aided Civil and Infrastructure Engineering 23 (7), 536-548, 2008
892008
A real-time parking prediction system for smart cities
EI Vlahogianni, K Kepaptsoglou, V Tsetsos, MG Karlaftis
Journal of Intelligent Transportation Systems 20 (2), 192-204, 2016
832016
Memory properties and fractional integration in transportation time-series
MG Karlaftis, EI Vlahogianni
Transportation Research Part C: Emerging Technologies 17 (4), 444-453, 2009
652009
Unmanned Aerial Aircraft Systems for transportation engineering: Current practice and future challenges
EN Barmpounakis, EI Vlahogianni, JC Golias
International Journal of Transportation Science and Technology 5 (3), 111-122, 2016
582016
Fuzzy‐entropy neural network freeway incident duration modeling with single and competing uncertainties
EI Vlahogianni, MG Karlaftis
Computer‐Aided Civil and Infrastructure Engineering 28 (6), 420-433, 2013
582013
Modeling the effects of weather and traffic on the risk of secondary incidents
EI Vlahogianni, MG Karlaftis, FP Orfanou
Journal of Intelligent Transportation Systems 16 (3), 109-117, 2012
572012
Freeway operations, spatiotemporal-incident characteristics, and secondary-crash occurrence
EI Vlahogianni, MG Karlaftis, JC Golias, BM Halkias
Transportation research record 2178 (1), 1-9, 2010
542010
Enhancing predictions in signalized arterials with information on short-term traffic flow dynamics
EI Vlahogianni
Journal of Intelligent Transportation Systems 13 (2), 73-84, 2009
492009
Driving analytics using smartphones: Algorithms, comparisons and challenges
EI Vlahogianni, EN Barmpounakis
Transportation Research Part C: Emerging Technologies 79, 196-206, 2017
472017
Innovative motor insurance schemes: A review of current practices and emerging challenges
DI Tselentis, G Yannis, EI Vlahogianni
Accident Analysis & Prevention 98, 139-148, 2017
472017
Road traffic forecasting: Recent advances and new challenges
I Lana, J Del Ser, M Velez, EI Vlahogianni
IEEE Intelligent Transportation Systems Magazine 10 (2), 93-109, 2018
462018
Does Information on Weather Affect the Performance of Short-Term Traffic Forecasting Models?
L Tsirigotis, EI Vlahogianni, MG Karlaftis
International Journal of Intelligent Transportation Systems Research 10 (1 …, 2012
452012
Testing and comparing neural network and statistical approaches for predicting transportation time series
EI Vlahogianni, MG Karlaftis
Transportation research record 2399 (1), 9-22, 2013
432013
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