Discrete choice model is the most used methodology for studying traveler’s mode choice and demand. However, to calibrate the discrete choice model needs to have plenty of questionnaire survey. In this study, an aggregative model is proposed. The historical data of passenger volumes for high speed rail and domestic civil aviation are employed to calibrate and validate the model. In this study, d...

TRANSIMS is a disaggregate, behavioral transportation planning package developed under US DOT's and EPA funding at the Los Alamos National Laboratory (LANL). It is an integrated system of travel forecasting models designed to give transportation planners accurate, complete information on traffic impacts, congestion, and pollution by simulating second-by-second movements of every person and ever...

Most traditional mode choice models are based on the principle of random utility maximization derived from econometric theory. Alternatively, mode choice modeling can be regarded as a pattern recognition problem reflected from the explanatory variables of determining the choices between alternatives. The paper applies the knowledge discovery technique of rough sets theory to model travel mode c...

In, Calcutta, one of the largest metropolis of the world, the mass transportation has already reached alarming situation. All the major forms of metro, railways, roads and waterways are available to provide mass transport services to this city. An attempt has been made to use non-conventional abstract mathematical theory to solve multimodal mass transport system. Fuzzy functions have been used ...

The ability to predict and reason about other people's choices is fundamental to social interaction. We propose that people reason about other people's choices using mental models that are similar to decision networks. Decision networks are extensions of Bayesian networks that incorporate the idea that choices are made in order to achieve goals. In our first experiment, we explore how people pr...

This paper discusses the development of a dynamic multi-modal transport simulation model. Conventionally, multi-modal transportation system analysis is only carried out in a static framework and dynamic framework is limited to the single mode i.e. road traffic. The decision making process of an individual regarding use of transport system involves mainly three types of decisions namely, departu...

Time is an important aspect of health economic evaluation, as the timing and duration of clinical events, healthcare interventions and their consequences all affect estimated costs and effects. These issues should be reflected in the design of health economic models. This article considers three important aspects of time in modelling: (1) which cohorts to simulate and how far into the future to...