T. Bellemans

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A real-life motorway in Belgium is studied and a comparison is made between a simulation of a morning rush hour situation without control and a simulation of a morning rush hour situation with ramp metering implemented. Two types of controllers are compared: a traditional ALINEA based controller and a model predictive control based ramp metering controller.(More)
Due to the ever increasing need for transportation, there will be more and more traffic jams unless some far-reaching measures are taken. There are many possible ways to reduce congestion (such as building new roads, new pricing policies, shift of transport from road to train or ship, and so on). However, since traffic congestion is a pressing problem that(More)
Activity-based transportation models have set the standard for modelling travel demand for the last decade. It seems common practice nowadays to collect the data to estimate these activity-based transportation models by means of activitytravel diaries. This paper presents a general functional framework of an advanced activity-travel diary data collection(More)
Ramp metering is a dynamic traffic control measure that has proven to be very effective. There are several methods to determine appropriate ramp metering signals for a given traffic situation. In this paper, a framework consisting of model predictive control (MPC) for ramp metering, combined with extended Kalman filter-based (EKF) traffic state estimation(More)
In this paper we deal with model predictive control for ramp metering on motorways. A discussion of the way ramp metering tries to prevent, or postpone, congestion on a motorway is presented. As an example, a real-life motorway in Belgium is presented. We discuss a traffic flow model that is used in a receding horizon framework and we argue that the quality(More)
In many cases crashes at intersections account for over 50% of all urban road crashes. The need to reduce these crashes has fostered considerable research on the development and evaluation of traffic safety at intersections. This paper introduces a micro-level behavioral approach for estimating the crash potential at unsignalized intersections for different(More)
Synopsis Data acquisition and pre-processing are important steps in any traac data collection, analysis or simulation project. In this paper we present the results of a case study we have done on traac simulation for a stretch of the E17 highway near Antwerp, Belgium. We will especially focus on the data collection and processing part. The objective of the(More)
Activity-based transportation models have set the standard for modelling travel demand for the last decade. It seems common practice nowadays to collect the data to estimate these activity-based transportation models by means of activity diaries. This paper explores potential advantages and disadvantages that may occur in the collection of this type of data(More)
When implementing ramp metering in the context of freeway networks, traffic can spontaneously re-route due to the applied control actions. Although this re-routing can have an important impact on the resulting traffic situation in the traffic network and on the performance of the traffic network as a whole, re-routing is not automatically included in(More)