This paper examines how real-time information gathered as part of intelligent transportation systems can be used to predict link travel times for one through five time periods ahead (of 5-min duration). The study employed a spectral basis artificial neural network (SNN) that utilizes a sinusoidal transformation technique to increase the linear separability of the input features. Link travel times from Houston that had been collected as part of the automatic vehicle identification system of the TranStar system were used as a test bed. It was found that the SNN outperformed a conventional artificial neural network and gave similar results to that of modular neural networks. However, the SNN requires significantly less effort on the part of the modeler than modular neural networks. The results of the best SNN were compared with conventional link travel time prediction techniques including a Kalman filtering model, exponential smoothing model, historical profile, and realtime profile. It was found that the SNN gave the best overall results.
The authors investigated patterns of support exchanges between Korean adult children and their parents and parents-in-law, gender differences in these patterns, and implications of children’s marital quality for exchange patterns. Data were from a nationally representative sample of married adults (N = 920, age 30–59 years) with at least 1 living parent and 1 living parent-in-law. Latent class analysis was applied to 12 indicators of exchanges (financial, instrumental, emotional support given to and received from parents and parents-in-law). Five classes of exchanges were identified, 3 showing balanced patterns of exchanges with parents and parents-in-law across three types of support and 2 classes with unbalanced patterns (e.g., giving instrumental and financial, but not emotional support). The findings revealed variability in intergenerational exchange patterns, with a mix of patrilineal traditional and balanced patterns. Significant associations of exchange patterns with adult children’s marital quality suggest the importance of balanced exchanges with parents for marriage.
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