Integrated Forecasting Model for International Air Travel Demand

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...

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...

An Aggregate Sector Flow Model for Air Traffic Demand Forecasting

Sector capacity, number of aircraft permitted in a region of the airspace referred to as a sector, is used to limit air traffic to an amount that can be safely handled by a human controller. The traditional approach for predicting traffic demand in a sector involves the simulation of trajectories of individual aircraft. The demand provided by this approach is inaccurate for hourly time horizons...

Travel Demand Forecasting: Parameters and Techniques

Application of Discrete 3-level Nested Logit Model in Travel Demand Forecasting as an Alternative to Traditional 4-Step Model

This paper aims to introduce a new modelling approach that represents departure time, destination and travel mode choice under a unified framework. Through it, it is possible to overcome shortages of the traditional 4-step model associated with the lack of introducing actual travellers’ behaviours. This objective can be achieved through adopting discrete 3-level Nested Logit model that represen...