Abstract: Several regional and environmental agencies record spatial data continuously at fixed time intervals such as hourly, daily, monthly, and annually. Such a data collection is termed a recurrent spatial data collection. This ...

Abstract: This paper reports the results of experiments comparing a conventional statistical method and an evolutionary genetic algorithms approach for classifying highway sections that is based on temporal traffic patterns. Traffic ...

Abstract: Neural networks may be useful alternatives for statistical classification techniques when the available data is incomplete. This paper discusses the results obtained from a statistical technique called hierarchical grouping ...

Abstract: Improving the quality of predictions from sample data is an important aspect of a data collection and analysis program. Regional and environmental agencies use different statistical modeling techniques for prediction. The ...

Abstract: Research for advanced traveler information systems (ATIS) has been focused on urban roads. However, research for short-term traffic prediction on all categories of highways is needed, as highway agencies expect to implement ...

Abstract: Artificial neural networks are applied as a means of estimating the average annual daily traffic (AADT) volume from short-period traffic counts. Fifty-five automatic traffic recorder sites located on low-volume rural roads ...