An activity-based micro-simulation model of daily travel and a dynamic network simulator are integrated to form a model system for travel demand forecasting. The model system is applied in this study to evaluate the effectiveness of selected TDM measures for CO2 emissions reduction in the City of Kyoto. The results demonstrate the practicality of the micro-simulation approach in travel demand f...

The preceding chapter introduced a model of the "comprehensively rational" decision-making household, where location of residence and job, auto ownership, frequency of trips for various purposes, destination, time-of-day of travel, and mode were all the result of choice of an overall lifetime plan. This model is unrealistic in two respects, one practical and one behavioral. The practical diffic...

This report examined several methods for estimating Origin-Destination (OD) matrices for freeways, using loop detector data. Least squares based methods were compared in terms of both off-line and on-line estimation. Simulated data and observed data were used for evaluating the static and recursive estimators. For off-line estimation, four fully constrained least squares methods were compared. ...

Major industry and policy changes are taking place in the Japan’s inter-city travel market. This study empirically estimates the air-rail travel demand model with aggregate OD market data. The estimated model is then used to estimate the effects of introducing super high speed rail (HSR), and alternative levels of CO2 emission taxation on the demands for airline and HSR modes. Our key findings ...

In this paper, we implement an estimation procedure for a particular mathematical programming activity-based model in order to estimate the relative importance of factors associated with spatial and temporal interrelationships among the out-of-home activities that motivate a household’s need or desire to travel. The method uses a genetic algorithm to estimate coefficient values of the utility f...

Urban Airshed Models for estimating air pollution concentrations in a region require travel demand models that can produce hour-by-hour mobile source emission estimates. Regional simulation models of this type are currently created and tested in Australia, Europe, Japan, and the United States using a variety of theories, decision-making formalisms, and operational implementation methods. On one...

The authors argue that travel forecasting models should be dynamic and disaggregate in their representation of demand, supply, and supply-demand interactions, and propose a framework for such models. The proposed framework consists of disaggregate activity-based representation of travel choices of individual motorists on the demand side integrated with disaggregate dynamic modeling of network p...

Abstract The planning of on-demand services requires the formation vehicle schedules consisting service trips and empty trips. This paper presents an algorithm for building that uses time-dependent demand matrices (= trips) as input determines trip number required vehicles a result. presented approach is intended long-term, strategic transport planning. For this purpose, it provides planners wi...

16. Abstract Research on travel-demand modeling has predominantly focused on weekday activity-travel patterns, with the study of the effects of commute travel on peak period traffic congestion as a major objective. In contrast, there have been few studies examining the weekend activity-travel behavior of individuals. However, weekend travel volume has been increasing over time and is comparable...