Poulicos Prastacos
Foundation for Research & Technology – Hellas
63 Papers
365 Citations
Poulicos Prastacos is an academic researcher from Foundation for Research & Technology – Hellas. The author has contributed to research in topics: Population & Land use. The author has an hindex of 15, co-authored 63 publications. Previous affiliations of Poulicos Prastacos include Association of Bay Area Governments.
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Papers
Forecasting Traffic Flow Conditions in an Urban Network: Comparison of Multivariate and Univariate Approaches:
TL;DR: In this article, a comparison of the forecasting performance of these four models is undertaken with data sets from 25 loop detectors located in major arterials in the city of Athens, Greece, where the variable under study is the relative velocity, which is the traffic volume divided by the road occupancy.
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Space-time modeling of traffic flow
TL;DR: This work presents how two statistical techniques, namely, vector autoregressive modeling and dynamic space-time modeling can be used to develop efficient and reliable forecasts of traffic flow to optimize model fitting and provide insight into spatial correlation structures that evolve through time.
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Modeling Traffic Volatility Dynamics in an Urban Network
TL;DR: The application of generalized autoregressive conditional heteroscedasticity (GARCH) time series models for representing the dynamics of traffic flow volatility is discussed, with the aim of providing better confidence intervals for traffic flow forecasts.
77
Sustainable tourism policy for Mediterranean destinations: issues and interrelationships
TL;DR: In this article, the authors explored policies for sustainable tourism development and potential interrelationships between policy considerations in the Mediterranean region and highlighted the need to understand and improve tourism policies in the world's leading destination.
70
Characterizing regimes in daily cycles of urban traffic using smooth-transition regressions
TL;DR: It is shown that such nonlinearities can be adequately described by smooth-transition regression (STR) models which may characterize distinct regimes for free flow, congestion, and asymmetric behavior in the transition phases from free flow to congestion and vice versa.
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