No abstract

Forecasting daily traffic flow in the future is one of the most critical components in traffic management to improve operational efficiency. This article aims to address the daily traffic flow forecasting problem given historical data. Because the traffic flow pattern is strongly correlated with contextual factors, we propose a matchthen-predict method which integrates contextual matching and time series prediction based on group method of data handling (GMDH) algorithm. From a Seattle-based case study, we show that the contextual matching can significantly improve the prediction accuracy. We also show that the proposed method can in general outperform alternative prediction methods in daily traffic flow forecasting in terms of prediction accuracy. In addition, further analysis using data from other cities and applying the proposed method to forecast speed also support the bene- *

Structural transformations and electronic structures of (0001) BeO, MgTe, CdS and 2H-SiC films under equibiaxial in-plane strains are studied using the HSE06 range-separated hybrid functionals. The main results are summarized as follows: I) The structural transition from the polar wurtzite to the nonpolar graphite-like phase is predicted for BeO, MgTe and CdS but not for 2H-SiC, which is more covalent in nature. II) Either a direct or an indirect band structure is displayed in wurtzite BeO and 2H-SiC based on the values of strain, while only a direct band gap is displayed in wurtzite MgTe and CdS. At large tensile strains, the band gaps of graphite-like BeO and CdS are always indirect, whereas the graphite-like MgTe undergoes a direct-to-indirect band gap transition. Furthermore, the decrease in band gap is observed for both types of strain, thereby enabling a number of important technological applications.

No abstract