VALIDATION AND ELABORATION OF TRAVEL DEMAND FORECASTING BY BEHAVIORAL INTENTION METHOD

Passenger Travel Demand Forecasting

This paper addresses the importance of travel forecasting, the general direction of emerging forecasting methods, the importance of integrating land use and transportation forecasting, and this committee’s relationship to other committees at the Transportation Research Board (TRB). In particular, the movement from trip-based to activity-pattern or activity-scheduling methods of modeling is emph...

Travel Demand Forecasting: Parameters and Techniques

A Dynamic Microsimulator for Travel Demand Forecasting

is one of ten regional units mandated by Congress and established in Fall 1988 to support research, education, and training in surface transportation. The UC Center serves federal Region 1X and is supported by matching grants from tile U. Angeles: and several academic departments at the Berkeley, Davis, lrvine, and Los Angeles campuses. Faculty and students on other University of California cam...

A spectrum comparison method for demand forecasting

Almost all demand forecasting methods work in the time domain. We describe a method that operates in the frequency domain. Using discrete Fourier transform, we decompose a given set of demand data into a set of sine and cosine functions. The Fourier coefficients contain information about the frequencies and amplitudes in these sinusoids and allow us to reconstruct the original given demand data...

Forecasting Natural Gas Demand Using Meteorological Data: Neural Network Method

The need for prediction and patterns of gas consumption especially in the cold seasons is essential for consumption management and policy planning decision making. In residential and commercial uses which account for the bulk of gas consumption in the country the effects of meteorological variables have the highest impact on consumption.  In the present research four variables include daily ave...