PhD Position on Multi-Objective Dynamic Geo-Fencing in Metropolitan Transportation Networks
Updated: 16 Jun 2021
In this PhD. research you will be developing models and methodologies to dynamically redesign and redistribute the accessibility of specific transportation network resources, such as streets, corridors, neighbourhoods and parking areas. Increasingly dense urbanisation is motivating a redesign of public space, in order to foster livability and sustainability. In order to meet these desirable objectives, a careful approach must be adopted so to maintain, if not improve, quality of life standards in metropolitan areas. Flexible use of public space is a promising solution, however numerous challenges arise in engineering such a system. A key challenge is that of determining, from a given set of policy objectives, the geographical areas which should be 'protected' from traffic, e.g. in response to heightened pollutant emissions, traffic congestion or incidents, vulnerable infrastructure etc. etc. Novel methodologies combining aspects of network science, optimisation and machine learning are required to develop an approach which is responsive, scalable and effective, while exhibiting sufficient flexibility to be adapted as policy goals evolve over time.
This PhD. project is conducted at the Department of Transport and Planning (T&P) of the Delft University of Technology. T&P aims at top-level fundamental research that contributes to a more efficient and robust design and reliable operation of transport systems. T&P is composed of 11 research labs addressing various transport challenges. You will be part of the Artificial Intelligence for Mobility Lab (AIM Lab). AIM lab develops innovative data-driven models and methods for evidence-based mobility planning and management to improve overall transport system performance - closely related to public transport, car traffic, and active modes. You will also closely collaborate with the Amsterdam Metropolitan Solutions Institute (AMS), which will act as a linking pin between your research and the needs and requirements of the Municipality of Amsterdam, as well as the data and insights collected under the "Innovation central for Digital Mobility" programme.
36 - 40 hours per week