1 citations · 1 across the 9 of their papers we have counts for
13 papers
Cooperative Adaptive Cruise Control with Constant Distance Gaps for Retrofitted Legacy Vehicles
Kay Massow, Emanuele Crisostomi, Ilja Radusch +1
A Constant Distance Gap (CDG) spacing controller for Cooperative Adaptive Cruise Control (CACC) designed to increase the capacity of oversaturated signalized intersections is prese…
Sinkhorn-Knopp balancing with generalised martingale-type constraints
Abigail Langbridge, Martin Corless, Robert Shorten
We consider the problem of optimally distributing resources from a set of suppliers to a set of consumers in the presence of general transportation constraints, and including heter…
Smart nudging for efficient routing through networks
Pouria M. Oqaz, Emanuele Crisostomi, Elena Dieckmann +1
In this paper, we formulate the design of efficient digitalised deposit return schemes as a control problem. We focus on the recycling of paper cups, though the proposed methodolog…
Momentum-Based Access and Speed Control for Improved Safety in Heterogeneous Road Networks
Felix Wieberneit, Emanuele Crisostomi, Wynita Griggs +1
The increasing variety of means of transportation, including light vehicles like e-scooters and e-bikes, together with the increasing weight of conventional vehicles due to electri…
humancompatible.interconnect: Testing Properties of Repeated Uses of Interconnections of AI Systems
Rodion Nazarov, Anthony Quinn, Robert Shorten +1
Artificial intelligence (AI) systems often interact with multiple agents. The regulation of such AI systems often requires that {\em a priori\/} guarantees of fairness and robustne…
Predictive Control of EV Overnight Charging with Multi-Session Flexibility
Felix Wieberneit, Emanuele Crisostomi, Anthony Quinn +1
The majority of electric vehicles (EVs) are charged domestically overnight, where the precise timing of power allocation is not important to the user, thus representing a source of…
Surge sourcing via hybrid supply in a sharing economy: a resource-efficient, progressive and sustainable way to satisfy surge demand
Pouria Mohamadzadehoqaz, Elena Dieckmann, Anthony Quinn +1
We propose a surge sourcing approach to address occasional synchronous high demand (surge demand) in sharing economy systems, providing a socio-economically progressive alternative…
Detection of Undeclared EV Charging Events in a Green Energy Certification Scheme
Luca Domenico Loiacono, Anthony Quinn, Emanuele Crisostomi +1
The green potential of electric vehicles (EVs) can be fully realized only if their batteries are charged using energy generated from renewable (i.e. green) sources. For logistic or…
On Optimal Battery Sizing for Electric Vehicles
Felix Wieberneit, Emanuele Crisostomi, Anthony Quinn +3
In this paper, we introduce a quantitative framework to optimize electric vehicle (EV) battery capacities, considering two criteria: upfront vehicle cost and charging inconvenience…
Overcoming Representation Bias in Fairness-Aware data Repair using Optimal Transport
Abigail Langbridge, Anthony Quinn, Robert Shorten
Optimal transport (OT) has an important role in transforming data distributions in a manner which engenders fairness. Typically, the OT operators are learnt from the unfair attribu…
Randomized Transport Plans via Hierarchical Fully Probabilistic Design
Sarah Boufelja Y., Anthony Quinn, Robert Shorten
An optimal randomized strategy for design of balanced, normalized mass transport plans is developed. It replaces -- but specializes to -- the deterministic, regularized optimal tra…
Algorithms for constrained optimal transport
Martin Corless, Anthony Quinn, Sarah Boufelja +1
We derive iterative scaling algorithms of the Sinkhorn-Knopp (SK) type for constrained optimal transport. The constraints are in the form of prior-imposed zeroes in the transport p…
Optimal Transport for Fairness: Archival Data Repair using Small Research Data Sets
Abigail Langbridge, Anthony Quinn, Robert Shorten
With the advent of the AI Act and other regulations, there is now an urgent need for algorithms that repair unfairness in training data. In this paper, we define fairness in terms…