4 papers
Dynamic and interpretable hazard-based models of traffic incident durations
Kieran Kalair, Colm Connaughton
Understanding and predicting the duration or "return-to-normal" time of traffic incidents is important for system-level management and optimisation of road transportation networks.…
Anomaly detection and classification in traffic flow data from fluctuations in the flow-density relationship
Kieran Kalair, Colm Connaughton
We describe and validate a novel data-driven approach to the real time detection and classification of traffic anomalies based on the identification of atypical fluctuations in the…
A non-parametric Hawkes process model of primary and secondary accidents on a UK smart motorway
Kieran Kalair, Colm Connaughton, Pierfrancesco Alaimo Di Loro
A self-exciting spatio-temporal point process is fitted to incident data from the UK National Traffic Information Service to model the rates of primary and secondary accidents on t…
Empirical analysis of the variability in the flow-density relationship for smart motorways
Kieran Kalair, Colm Connaughton
The fundamental diagram is an assumed functional relationship between traffic flow and traffic density. In practice, this relationship is noisy and exhibits significant statistical…