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Tom Bellemans

Researcher at University of Hasselt

Publications -  194
Citations -  2640

Tom Bellemans is an academic researcher from University of Hasselt. The author has contributed to research in topics: Travel behavior & Population. The author has an hindex of 25, co-authored 188 publications receiving 2287 citations. Previous affiliations of Tom Bellemans include Katholieke Universiteit Leuven & FH Joanneum.

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Model predictive control for ramp metering of motorway traffic: A case study

TL;DR: In this paper, the authors compared two types of controllers: a traditional ALINEA based controller and a model predictive control based ramp metering controller in order to evaluate the controllers in a realistic framework, the simulations presented in this paper are based on real-life traffic measurements.
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Implementation Framework and Development Trajectory of FEATHERS Activity-Based Simulation Platform:

TL;DR: The FEATHERS framework as mentioned in this paper suggests a four-stage development trajectory for a smooth transition from the four-step models toward static activity-based models in the short term and dynamic activity based models for transport demand in the long term.
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Presentation and evaluation of an integrated model chain to respond to traffic- and health-related policy questions

TL;DR: An integrated model chain consisting of an activity-based transport model, a road traffic emission model,A bi-gaussian atmospheric dispersion model and a concentration measurement interpolation model is described to represent the main cycles governing air quality.
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Street characteristics and traffic factors determining road users' exposure to black carbon

TL;DR: Investigation of which factors determine black carbon (BC) concentrations in transport microenvironments in Flanders, Belgium found traffic intensity proved to be the major explanatory variable for in-vehicle BC exposure, together with timing of the trip and urbanization.
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UAV-Based Traffic Analysis: A Universal Guiding Framework Based on Literature Survey

TL;DR: An extensive yet systematic review of the existing traffic-related UAV studies is presented by moulding them in a step-by-step framework, providing a comprehensive guideline for an efficient conduction and completion of a drone-based traffic study.