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940 results on '"Shorten, Robert"'

152. Vehicle to Grid

Author

Crisostomi, Emanuele, primary, Shorten, Robert, additional, Stüdli, Sonja, additional, and Wirth, Fabian, additional

Published
2017
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153. Postface

Author

Crisostomi, Emanuele, primary, Shorten, Robert, additional, Stüdli, Sonja, additional, and Wirth, Fabian, additional

Published
2017
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160. Charging EVs

Author

Crisostomi, Emanuele, primary, Shorten, Robert, additional, Stüdli, Sonja, additional, and Wirth, Fabian, additional

Published
2017
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168. Convex Cones, Lyapunov Functions, and the Stability of Switched Linear Systems

Author

Shorten, Robert, Mason, Oliver, Wulff, Kai, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Murray-Smith, Roderick, editor, and Shorten, Robert, editor

Published
2005
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176. Beyond CHOKe: Stateless Fair Queueing

Author

Stanojević, Rade, Shorten, Robert, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Chahed, Tijani, editor, and Tuffin, Bruno, editor

Published
2007
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177. How Expensive Is Link Utilization?

Author

Stanojević, Rade, Shorten, Robert, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Chahed, Tijani, editor, and Tuffin, Bruno, editor

Published
2007
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179. Modelling TCP Throughput and Fairness

Author

Leith, Douglas J., Shorten, Robert, Goos, Gerhard, editor, Hartmanis, Juris, editor, van Leeuwen, Jan, editor, Mitrou, Nikolas, editor, Kontovasilis, Kimon, editor, Rouskas, George N., editor, Iliadis, Ilias, editor, and Merakos, Lazaros, editor

Published
2004
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182. A numerical study on constant spacing policies for starting platoons at oversaturated intersections

Author

Massow, Kay, Radusch, Ilja, Shorten, Robert, and Publica

Subjects
safety, traffic light, traffic simulation, roads, stability criteria, capacity, vehicle dynamics, constant spacing, Cooperative adaptive cruise control, switches, signalized intersection, vehicle simulation, power system stability, ddc:388, 388 Verkehr, Landverkehr, throughput
Abstract

Cooperative Adaptive Cruise Control (CACC) is considered as a key potential enabler to improve driving safety and traffic efficiency. It allows for automated vehicle following using wireless communication in addition to onboard sensors. To achieve string stability in CACC platoons, constant time gap (CTG) spacing policies have prevailed in research; namely, vehicle interspacing grows with the speed. While constant distance gap (CDG) spacing policies provide superior potential to increase traffic capacity than CTG, their major drawbacks are a smaller safety margin at high velocities and that string stability cannot be achieved using a one-vehicle look-ahead communication. In this work, we propose to apply CDG only in a few driving situations, when traffic throughput is of highest importance and safety requirements can be met due to relatively low velocities. As the most relevant situations where CDG could be applied, we identify starting platoons at signalized intersections. With this application scenario we show that applying CDG only in a few specific and crucial situation can have a major impact on traffic efficiency. Specifically, we compare CTG with CDG regarding its potential to increase the capacity of traffic lights. Starting with the elementary situation of single traffic lights we expand our scope to whole traffic networks including several thousand vehicles in simulation. Using real world data to calibrate and validate vehicle dynamics simulation and traffic simulation, the study discusses the most relevant working parameters of CDG, CTG, and the traffic system in which both are applied.

Published
2022

183. Fairness in Forecasting of Observations of Linear Dynamical Systems.

Author

Quan Zhou, Mareček, Jakub, and Shorten, Robert

Subjects
FAIRNESS, LINEAR dynamical systems, SET theory, MACHINE learning, DATA analysis
Abstract

In machine learning, training data often capture the behaviour of multiple subgroups of some underlying human population. This behaviour can often be modelled as observations of an unknown dynamical system with an unobserved state. When the training data for the subgroups are not controlled carefully, however, under-representation bias arises. To counter under-representation bias, we introduce two natural notions of fairness in timeseries forecasting problems: subgroup fairness and instantaneous fairness. These notion extend predictive parity to the learning of dynamical systems. We also show globally convergent methods for the fairness-constrained learning problems using hierarchies of convexifications of non-commutative polynomial optimisation problems. We also show that by exploiting sparsity in the convexifications, we can reduce the run time of our methods considerably. Our empirical results on a biased data set motivated by insurance applications and the well-known COMPAS data set demonstrate the efficacy of our methods. [ABSTRACT FROM AUTHOR]

Published
2023
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193. Nonhomogeneous Place-dependent Markov Chains, Unsynchronised AIMD, and Optimisation.

Author

WIRTH, FABIAN R., STÜDLI, SONJA, YU, JIA YUAN, CORLESS, MARTIN, and SHORTEN, ROBERT

Abstract

A stochastic algorithm is presented for a class of optimisation problems that arise when a group of agents compete to share a single constrained resource in an optimal manner. The approach uses intermittent single-bit feedback, which indicates a constraint violation and does not require inter-agent communication. The algorithm is based on a positive matrix model of AIMD,which is extended to the nonhomogeneous Markovian case. The key feature is the assignment of back-off probabilities to the individual agents as a function of the past average access to the resource. This leads to a nonhomogeneous Markov chain in an extended state space, and we show almost sure convergence of the average access to the social optimum. [ABSTRACT FROM AUTHOR]

Published
2019
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