| Approximating Activity Diary Data by Taking Sequential Dependences into Account: Development of a Simulation Framework ABSTRACT (2008) | |||||||||||||||
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| For the last decade, activity-based transportation models have certainly set the standard for modelling travel demand. As a result of this, the data required to estimate any activity-based model, differ from the data which are necessary to calibrate conventional models. Especially the high costs and the more detailed information that is typically collected, contributed to the decision of some researchers not to correct original data at all, facing difficulties regarding the generalisation of the results. Based on these concerns, the search for a solution to address this problem was conceived. It is believed within the research community that the simulation of real-world activity diaries may be a viable approach for addressing these problems or at least may be a supplement for collecting data. In this paper, a methodology to simulate activity diaries was therefore further developed and empirically tested. The presented approach is build upon previous work (Janssens et al., 2004a; Janssens et al., 2004b) in which it is assumed that each diary only consists of a set of correlated successive observations of activities and travel characteristics. The aim of this paper is to extent this initial framework and to simulate other additional facets (duration, timing, and location information) which are typically involved in activity based modelling. An extensive methodological description for the simulation of the different facets is described in the paper along with their experimental results. It is shown in the paper that the simulation results of all facets are satisfactory and that the framework developed in this paper holds out considerable promise for simulating activity diary data. 1. | |||||||||||||||
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