Davy Janssens

Davy Janssens graduated in 2001 as Commercial Engineer in Management Informatics at Limburg University. After his graduation, he worked as PhD candidate and teaching assistant at Hasselt University within the faculty of Applied Economic Sciences. In 2005 he got his PhD at Hasselt University, where he is now working as a professor. He is teaching different courses in the domain of transportation sciences. At the level of scientific research, he is a member of the Transportation Research Institute (IMOB) at Hasselt University, where he is programme leader in the domain of travel behaviour research. His area of interest is also situated within the application domain of advanced quantitative modelling (e.g. data mining), such as Bayesian networks and research about Reinforcement Learning and in activity-based transportation modelling.

Publications

The Annotation of Global Positioning System (GPS) Data with Activity Purposes Using Multiple Machine Learning Algorithms
The Annotation of Global Positioning System (GPS) Data with Activity Purposes Using Multiple Machine Learning Algorithms
Sofie Reumers, Feng Liu, Davy Janssens, Geert Wets. © 2017. 17 pages.
The aim of this chapter is to evaluate whether GPS data can be annotated or semantically enriched with different activity categories, allowing GPS data to be used in the future...
Data Science and Simulation in Transportation Research
Data Science and Simulation in Transportation Research
Davy Janssens, Ansar-Ul-Haque Yasar, Luk Knapen. © 2014. 350 pages.
Given its effective techniques and theories from various sources and fields, data science is playing a vital role in transportation research and the consequences of the...
Synthetic Population Techniques in Activity-Based Research
Synthetic Population Techniques in Activity-Based Research
Sungjin Cho, Tom Bellemans, Lieve Creemers, Luk Knapen, Davy Janssens, Geert Wets. © 2014. 23 pages.
Activity-based approach, which aims to estimate an individual induced traffic demand derived from activities, has been applied for traffic demand forecast research. The...
Activity-Based Travel Demand Forecasting Using Micro-Simulation: Stochastic Error Investigation of FEATHERS Framework
Activity-Based Travel Demand Forecasting Using Micro-Simulation: Stochastic Error Investigation of FEATHERS Framework
Qiong Bao, Bruno Kochan, Tom Bellemans, Davy Janssens, Geert Wets. © 2014. 15 pages.
Activity-based models of travel demand employ in most cases a micro-simulation approach, thereby inevitably including a stochastic error that is caused by the statistical...
Electric Vehicles in the Smart Grid
Electric Vehicles in the Smart Grid
Fjo De Ridder, Reinhilde D’hulst, Luk Knapen, Davy Janssens. © 2014. 24 pages.
This chapter presents a coordination algorithm for charging electric vehicles that can be used for avoiding capacity problems in the power distribution grid and for decreasing...
A Multi-Agent Modeling Approach to Simulate Dynamic Activity-Travel Patterns
A Multi-Agent Modeling Approach to Simulate Dynamic Activity-Travel Patterns
Qi Han, Theo Arentze, Harry Timmermans, Davy Janssens, Geert Wets. © 2009. 21 pages.
Contributing to the recent interest in the dynamics of activity-travel patterns, this chapter discusses a framework of an agent-based modeling approach focusing on the dynamic...