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Eleni I. Vlahogianni
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Cited by
Year
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
13252014
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
10802011
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
8172005
Short‐term traffic forecasting: Overview of objectives and methods
EI Vlahogianni, JC Golias, MG Karlaftis
Transport reviews 24 (5), 533-557, 2004
7452004
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
3962018
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
2972016
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
2782016
Overview of critical risk factors in Power-Two-Wheeler safety
EI Vlahogianni, G Yannis, JC Golias
Accident Analysis & Prevention 49, 12-22, 2012
2072012
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
1772017
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
1682007
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
1562006
Driving analytics using smartphones: Algorithms, comparisons and challenges
EI Vlahogianni, EN Barmpounakis
Transportation Research Part C: Emerging Technologies 79, 196-206, 2017
1532017
Memory properties and fractional integration in transportation time-series
MG Karlaftis, EI Vlahogianni
Transportation Research Part C: Emerging Technologies 17 (4), 444-453, 2009
1222009
Innovative insurance schemes: pay as/how you drive
DI Tselentis, G Yannis, EI Vlahogianni
Transportation Research Procedia 14, 362-371, 2016
1212016
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
1142008
Metaheuristics for the transit route network design problem: a review and comparative analysis
C Iliopoulou, K Kepaptsoglou, E Vlahogianni
Public Transport 11, 487-521, 2019
1122019
Modeling duration of overtaking in two lane highways
EI Vlahogianni
Transportation research part F: traffic psychology and behaviour 20, 135-146, 2013
1042013
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
1002012
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
942013
Identifying driving safety profiles from smartphone data using unsupervised learning
EG Mantouka, EN Barmpounakis, EI Vlahogianni
Safety Science 119, 84-90, 2019
852019
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Articles 1–20