Cities’ true transportation potential is buried under a lack of transparency, coordination, and collaboration. Public-, company-, and individually-owned transportation resources (e.g., cars, boats, trucks, vans) and networks (e.g., streets, waterways, hubs) are not effectively orchestrated to achieve maximum satisfaction across transportation stakeholders, namely, cities, providers, and customers. As automation and digitalization increasingly take place, however, urban transportation can be envisioned as a smart-contract-mediated machine-to-machine interaction whose end goal is to seamlessly move people and goods via diverse transportation resources through the transport networks.
In this evolving context, this PhD project aims to design optimization- and learning-based strategies to manage a multi-stakeholder transportation ecosystem, which aims to achieve maximum individual and systemic benefits by simultaneously addressing the full range of needs of all its participants.
During the project, the PhD candidate will perform research on some of the following tasks:
Solving High-Dimensional Optimization Problems: Develop innovative methods to address high-dimensional optimization problems commonly encountered in dynamic and stochastic transportation systems.
Integrating AI and OR: Develop optimization- and learning-based strategies that align the interests and objectives of multiple stakeholders.
Enhancing Transparency and Coordination: Develop methods to foster transparency, coordination, and collaboration for the optimal movement of people and goods across diverse transportation resources.
Crafting Collaborative Policies: Propose policies that facilitate stakeholder collaboration and support the efficient utilization of transportation infrastructure, considering the diverse interests at play.
Incorporating City-Centric Objectives: Explore approaches to incorporate the unique needs and objectives of cities into transportation optimization such as promoting equitable access, livability, and sustainability.
As a doctoral student, your key responsibilities will be to manage and carry out your research project within 48 months and write a PhD thesis. You will participate in research and training activities and disseminate research in the scientific community (international conferences) and non-scientific community by outreach and public engagement.
Furthermore, you will write articles for scientific peer-reviewed journals and progress reports and prepare results for publication and dissemination via public lectures, presentations, and the web.
You will also be responsible for taking courses per the research education and liaising with the other research staff, students, and partner institutions working in broad areas relevant to the research project.
Participation in other department duties, such as meetings, teaching, etc., is expected to cover a maximum scope of 20%.