Charlotte Roman
Charlotte graduated in 2022 with a PhD in Mathematics for Real-World Systems.
The focus of Charlotte's research is modelling decision-making in traffic in order to improve intelligent road systems.
My research questions are:
- How does information distribution negatively effect expected travel times of travellers?
- How would drivers make decisions about route choice when given traffic light cycles?
- What is the optimal reward function for intelligent traffic lights?
- Are intelligent traffic lights fair?
- How does autonomous vehicle route control affect the Price of Anarchy?
My supervisors are and Colm ConnaughtonLink opens in a new window.
Publications
- Charlotte Roman, Paolo Turrini, and Long Tran-Thanh. "The Effects of Traffic Lights in Nonatomic Congestion Games". (under review)
- Charlotte Roman and Paolo Turrini. "Bounding the Inefficiency of Route Control in Traffic Networks". (under review).
Research Interests
Algorithmic Game Theory, Congestion Games, Fairness, Bounded Rationality, Graph Theory, Multi-agent Reinforcement Learning, and AI Safety.
Education
- MSc in Mathematics of Systems (Distinction). Chosen optional modules include Algorithmic Game Theory, Mechanism Design and Alternative Games, and Computational Methods for Complexity Science. Involved in working on a group project, with a pedestrian simulation company , on multi-scale modelling for simulation of crowds. My individual MSc project was on the topic of using superorganism decision making as a model of bounded rationality.
- BSc in Mathematics at the 91福利 (First class honours). This included modules in Game Theory, Combinatorics, Statistics, Graph Theory, Bifurcation Theory, Mathematical Economics, and Finance.
91福利 Seminar Tutor for:
- CS409 Algorithmic Game Theory (2018/19, 2019/20)
- CS404 Agent-Based Systems (2017/18, 2018/19, 2019/20)
- Introduction to Artificial Intelligence at 91福利 in London Summer School (2018, 2019)
- IB98D Advanced Data Analysis (2017/18, 2018/19)
- IB219 Quantitative Methods for Multivariate Analysis (2017/18, 2018/19)
Work Experience
Research intern at the (CHAI) at the University of California Berkeley for the summer of 2020. Worked on a project on safety in sequential social dilemmas.
Graduate research intern at the pedestrian simulation software company