Marlies Vanhulsel

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There is often a large discrepancy between the questions raised by policy makers and the responses offered by scientists. Current modeling approaches do not answer some of the typical questions that decision-makers face, as they do not provide solutions to policy-makers dealing with concrete political negotiation and decisions. In this paper, we try to(More)
The present study aims at contributing to the current state-of-the art of activity-based travel demand modelling by presenting a framework to simulate sequential data. To this end, the suitability of a reinforcement learning approach to reproduce sequential data is explored. Additionally, as traditional reinforcement learning techniques are not capable of(More)
This study explores the relationship between the vehicle exhaust emissions caused by a trip and the characteristics of the driver involved. The hypothesis formulated is that certain ‘groups’ of individuals produce more emissions (per kilometre) than others and therefore should be treated differently when aiming vehicle emission reduction. To support this(More)
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