Theo A. Arentze

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Providing personalized advice is an important objective in the development of advanced traveler information systems. In this paper, a Bayesian method to incorporate learning of users' personal travel preferences in a multimodal routing system is proposed. The system learns preference parameters incrementally based on travel choices a user makes. Existing(More)
Existing microscopic traffic models have often neglected departure time change as a possible response to congestion. In addition, they lack a formal model of how travellers base their daily travel decisions on the accumulated experience gathered from repetitively travelling through the transport network. This paper proposes an approach to account for these(More)
Several activity-based transportation models are now becoming operational and are entering the stage of application for the modelling of travel demand. Some of these models use decision rules to support its decision making instead of principles of utility maximization. Decision rules can be derived from different modelling approaches. In a previous study,(More)
Stochastic actor-based approaches receive increasing interest in the generation of social networks for simulation in time and space. Existing models however cannot be readily integrated in agent-based models that assume random-utility-maximizing behavior of agents. We propose an agent-based model to generate social networks explicitly in geographic space(More)
0950-5849/$ see front matter 2012 Elsevier B.V. A doi:10.1016/j.infsof.2011.12.004 ⇑ Corresponding author. E-mail address: n.a.ronald@tue.nl (N. Ronald). Context: Models of how people move around cities play a role in making decisions about urban and landuse planning. Previous models have been based on space and time, and have neglected the social aspect of(More)
Time geography had led geographers to analyse and model activity-travel patterns since the 1970s. The notion that activity-travel patterns are highly constrained has been frequently used in analytical studies and models of space-time behaviour. The popularity of this field of research lost most of its momentum in geography in the 1990s, but is now the(More)