44 research outputs found
Intelligent Traffic Light Management using Multi-Behavioral Agents
[EN] One of the biggest challenges in modern societies is to solve vehicular traffic problems. In this scenario, our proposal is to use a Multi-Agent Systems (MAS) composed of three types of agent: traffic light management agents, traffic jam detection agents, and agents that control the traffic lights at an intersection. This third type of agent is able to change its behaviour between what we have called a selfish mode (the agent will try to influence the other neighbour agents of its type to achieve its goal) or an altruistic mode (the agent will take into consideration the other neighbour selfish agents indications). To validate our solution, we have developed a MAS emulator which communicates with the Simulation of Urban MObility (SUMO) traffic simulator using the Traci tool to realize the experiments in a realistic environment. The obtained results show that our proposal is able to improve other existing solutions such as conventional traffic light management systems (static or dynamic) in terms of reduction of vehicle trip duration.This work has been supported by the Spanish Ministry of Economy and Competitiveness grants TIN2016-80622-P, TIN2014-61627-EXP and TEC2013-45183-R, and by the University of Alcala through CCG2016/EXP-048.Cruz-Piris, L.; Rivera, D.; Marsa-Maestre, I.; De La Hoz, E.; Fernandez, S. (2018). Intelligent Traffic Light Management using Multi-Behavioral Agents. En XIII Jornadas de IngenierĂa telemática (JITEL 2017). Libro de actas. Editorial Universitat Politècnica de València. 110-117. https://doi.org/10.4995/JITEL2017.2017.6494OCS11011
Nonlinear Negotiation Approaches for Complex-Network Optimization: A Study Inspired by Wi-Fi Channel Assignment
At the present time, Wi-Fi networks are everywhere. They operate in
unlicensed radio-frequency spectrum bands (divided in channels), which are
highly congested. The purpose of this paper is to tackle the problem of channel
assignment in Wi-Fi networks. To this end, we have modeled the networks as
multilayer graphs, in a way that frequency channel assignment becomes a graph
coloring problem. For a high number and variety of scenarios, we have solved
the problem with two different automated negotiation techniques: a hill-climber
and a simulated annealer. As an upper bound reference for the performance of
these two techniques, we have also solved the problem using a particle swarm
optimizer. Results show that the annealer negotiator behaves as the best choice
because it is able to obtain even better results than the particle swarm
optimizer in the most complex scenarios under study, with running times one
order of magnitude below. Finally, we study how different properties of the
network layout affect to the performance gain that the annealer is able to
obtain with respect to the particle swarm optimizer.Comment: This is a pre-print of an article published in Group Decision and
Negotiation. The final version is available online at
https://doi.org/10.1007/s10726-018-9600-
Characteristic Evolution and Matching
I review the development of numerical evolution codes for general relativity
based upon the characteristic initial value problem. Progress in characteristic
evolution is traced from the early stage of 1D feasibility studies to 2D
axisymmetric codes that accurately simulate the oscillations and gravitational
collapse of relativistic stars and to current 3D codes that provide pieces of a
binary black hole spacetime. Cauchy codes have now been successful at
simulating all aspects of the binary black hole problem inside an artificially
constructed outer boundary. A prime application of characteristic evolution is
to extend such simulations to null infinity where the waveform from the binary
inspiral and merger can be unambiguously computed. This has now been
accomplished by Cauchy-characteristic extraction, where data for the
characteristic evolution is supplied by Cauchy data on an extraction worldtube
inside the artificial outer boundary. The ultimate application of
characteristic evolution is to eliminate the role of this outer boundary by
constructing a global solution via Cauchy-characteristic matching. Progress in
this direction is discussed.Comment: New version to appear in Living Reviews 2012. arXiv admin note:
updated version of arXiv:gr-qc/050809
Why we need easy access to all data from all clinical trials and how to accomplish it
International calls for registering all trials involving humans and for sharing the results, and sometimes also the raw data and the trial protocols, have increased in recent years. Such calls have come, for example, from the Organization for Economic Cooperation and Development (OECD), the World Health Organization (WHO), the US National Institutes of Heath, the US Congress, the European Commission, the European ombudsman, journal editors, The Cochrane Collaboration, and several funders, for example the UK Medical Research Council, the Wellcome Trust, the Bill and Melinda Gates Foundation and the Hewlett Foundation
Characteristic Evolution and Matching
I review the development of numerical evolution codes for general relativity
based upon the characteristic initial value problem. Progress is traced from
the early stage of 1D feasibility studies to 2D axisymmetric codes that
accurately simulate the oscillations and gravitational collapse of relativistic
stars and to current 3D codes that provide pieces of a binary black spacetime.
A prime application of characteristic evolution is to compute waveforms via
Cauchy-characteristic matching, which is also reviewed.Comment: Published version http://www.livingreviews.org/lrr-2005-1