About the Council
The PhD-council is the bridge between the PhD-students and the TRAIL-management. We act as an advisory board for the TRAIL-management regarding the TRAIL strategy, the course program and the TRAIL congress. Moreover, we organize PhD activities or social events every now and then for you to socialize or network with your peers.
If you have any questions, suggestions, ideas, problems or complaints, you can contact us by email or in person. And don’t forget to become a member of the TRAIL Members group on LinkedIn!
(in alphabetical order)
Developing and validating dynamic, activity – based travel demand models of group decisions under uncertainty is the main focus of my research. The aim is to develop alternatives to currently used models. Human behavior is a really important factor to be taken into account so as to shed some light on how people make sequential decisions under uncertainty. This will be investigated not only in terms of travel behavior research, but also of human choice and decision making based on other fields, such as social psychology. Examining more complex decision problems and developing comprehensive models of activity-travel behavior of individual and household decision making under uncertainty is absolutely imperative to making a step further in the existing applications.
Background and interests
Education in Civil Engineering, specialization in Transport Planning and Engineering. Diploma thesis about “Analysis of alternative scenarios for managing traffic incidents through microsimulation”. Interests include urban planning, transport modelling, uncertainty analysis, human behavior, decision making
State-of-the-art, personalized travel information is expected to be potentially successful in directing network states towards the efficient system optimum (collective benefit) instead of the inefficient user equilibrium (individual benefit). In order to assess this potential of travel information, both the individual level and the network level are considered. An experiment will be conducted using a smartphone application in order to gain insight in human response towards different information strategies. These individual findings will be translated to the network level using simulation.
Background and interests:
Education in Civil Engineering, specialization in Transportation Engineering and Management. Master thesis about ‘One route or the other? Development and evaluation of a day-to-day route choice model incorporating the principles of inertial behavior and quantification of the indifference band based on a real-world experiment’ conducted at the Virginia Tech Transportation Institute in Blacksburg, Virginia, USA. Interests include travel behaviour, discrete choice modelling and network optimization.
My research concerns simulation models for multimodal urban transportation networks in regional evacuations and other non-recurrent emergency conditions, subject to disaster plans that are executed by authorities. The primary components of such a model are an activity-based choice component that predicts the travel-related decisions that the people in the affected area will make, and a dynamic network loading component that predicts the evolution of the multimodal traffic system and the occurrence of congestion therein. The research includes the mathematical formulation of such models and their efficient implementation in computer programs, the calibration of the parameters, the application of such models in specific case studies and the derivation of policy insights from such applications.
Background and Interests
I studied Civil Engineering in Delft (BSc and MSc), with specialisation Transport & Planning. Interests include choice modelling, agent-based models, traffic assignment and dynamic network loading (the link transmission model in particular), large-scale transportation modelling, computational efficiency of models.
The main topic of my research is the influence of both public transportation networks and spatial characteristics/structure on the performance of a public transportation system. Focus is specifically on local and regional bus transit systems in urban regions. I use quantitative research methods and models, like Spatial Interaction Modeling, to analyze actual travel flows of bus passengers. The actual travel flows are based on “big data” in the form of smart card (“OV-chipkaart”) registrations.
Background and Interests
Education in Architecture, Building and Planning at Eindhoven University of Technology, with a specialization in Design and Decision Support Systems in Urban Planning. Thesis about route preferences of car drivers and the use of personal navigation devices. Interested in transportation analysis and planning, spatial planning, public transportation, transportation networks, quantitative research methods, and big data.
‘Stakeholders’ acceptability of smart road pricing instruments’. In order to design and implement road pricing measures that can effectively manage congestion and are accepted by the public and politicians, it is important to have insights in the acceptability of these instruments. Because of the longstanding problems concerning feasibility of traditional road pricing instruments, recently the interest has increased for the development of road pricing instruments that are based on rewarding or trading (instead of charging). The aim is to gain insights in the acceptability of the public and politicians of these novel road pricing concepts.
Background and interests
Bachelor in Architecture. Master in Transport, Infrastructure and Logistics (with a specialization in Policy). Both at the Delft University of Technology. Interest include cycling, politics and the combination of quantitative and qualitative research methods.
The focus of my research is on railway timetabling and my research is done in close cooperation with Netherlands Railways (NS). I want to integrate information about passengers flows (based on an OD-matrix) in the process of periodic timetabling for Netherlands Railways. The aim is to build an algorithm that starts at a macroscopic level and adds more details while running, to end up with a sketch of a possible timetable.
Background and interests
Education in Applied Mathematics at Delft University of Technology, thesis on a timetabling research at NS to improve current planning algorithms. Interested in planning and optimization problems and complex puzzles.
The aim of this PhD research is enhancing sustainability in fresh food supply chains by improving logistic resource utilization while read times are reduced. To realize this will be focused on collaboration concepts, in particular vendor managed inventory (VMI). First is analyzed what exactly the advantages of VMI are in this context and how these are affected by supply chain conditions as perishable products and different supplier properties. Next is explored how VMI can realize sustainability improvements in a fresh food supply chain by sharing inventory and transportation capacity among suppliers.
Background and interest:
Education in Industrial Engineering and Management (BSc & MSc), specialization in production technology and logistics, at the University of Groningen. Master’s thesis on “A solution approach for deriving alternative fuel station infrastructure requirements”. Interest include statistical analysis, simulation modeling and optimization in the field of logistics.
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