Eleni I. Vlahogianni
TitleCited byYear
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
5552005
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
5392014
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
5202011
Short‐term traffic forecasting: Overview of objectives and methods
EI Vlahogianni, JC Golias, MG Karlaftis
Transport reviews 24 (5), 533-557, 2004
4782004
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
1222007
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
1192006
Overview of critical risk factors in Power-Two-Wheeler safety
EI Vlahogianni, G Yannis, JC Golias
Accident Analysis & Prevention 49, 12-22, 2012
902012
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
782016
Memory properties and fractional integration in transportation time-series
MG Karlaftis, EI Vlahogianni
Transportation Research Part C: Emerging Technologies 17 (4), 444-453, 2009
622009
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
592013
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
562012
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
552010
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
522016
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
472009
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
452017
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
432018
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
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
432012
Driving analytics using smartphones: Algorithms, comparisons and challenges
EI Vlahogianni, EN Barmpounakis
Transportation Research Part C: Emerging Technologies 79, 196-206, 2017
422017
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Articles 1–20