research
∙
08/14/2023
Distinguishing Risk Preferences using Repeated Gambles
Sequences of repeated gambles provide an experimental tool to characteri...
share
research
∙
04/07/2022
Forecasting new diseases in low-data settings using transfer learning
Recent infectious disease outbreaks, such as the COVID-19 pandemic and t...
research
∙
02/17/2021
Dynamic and interpretable hazard-based models of traffic incident durations
Understanding and predicting the duration or "return-to-normal" time of ...
research
∙
12/21/2020
Anomaly detection and classification in traffic flow data from fluctuations in the flow-density relationship
We describe and validate a novel data-driven approach to the real time d...
research
∙
10/17/2020
Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations
Reinforcement Learning is proving a successful tool that can manage urba...
research
∙
09/16/2020
Discovering causal factors of drought in Ethiopia
Drought is a costly natural hazard, many aspects of which remain poorly ...
research
∙
08/26/2020
Assessment of Reward Functions for Reinforcement Learning Traffic Signal Control under Real-World Limitations
Adaptive traffic signal control is one key avenue for mitigating the gro...
research
∙
06/23/2020
Wavelet Augmented Regression Profiling (WARP): improved long-term estimation of travel time series with recurrent congestion
Reliable estimates of typical travel times allow road users to forward p...
research
∙
04/29/2020
A non-parametric Hawkes process model of primary and secondary accidents on a UK smart motorway
A self-exciting spatio-temporal point process is fitted to incident data...
research
∙
03/12/2019