Modelling and simulation of several interacting cellular automata
Cellular automata are used for modelling and simulation of many systems. In some applications, the system is formed by a set of subsystems that can be modelled separately, but, in such cases, the existence of interactions between these subsystems requires additional modelling and computer programming. In this paper we propose a modelling methodology for the simulation of a set of cellular automata models that interact with each other. The modelling methodology is described, together with an insight on implementation details. Also, it is applied to a particular cellular automata model, the Sanpile model, to illustrate its use and to obtain some example simulations.
Computer Animation to teach interpolation
<div data-canvas-width="460.953206963072">Aunque las asignaturas de matemáticas son un tema básico en los estudios de una ingeniería, a menudo son considerados por los estudiantes como una asignatura difícil. En este trabajo presentamos una experiencia de aprendizaje basada en la animación por ordenador mediante el uso de la modelización matemática. Nuestro objetivo es proporcionar a los estudiantes un contexto que motive el estudio de la interpolación de funciones. Presentamos un planteamiento del problema que se pretende resolver mediante</div><div data-canvas-width="460.9542195018301">el Ciclo de Modelización. Se presentan y discuten tanto desarrollo de la actividad com…
Crane collision modelling using a neural network approach
Abstract The objective of the present work is to find a Collision Detection algorithm to be used in the Virtual Reality crane simulator (UVSim®), developed by the Robotics Institute of the University of Valencia for the Port of Valencia. The method is applicable to box-shaped objects and is based on the relationship between the colliding object positions and their impact points. The tool chosen to solve the problem is a neural network, the multilayer perceptron, which adapts to the characteristics of the problem, namely, non-linearity, a large amount of data, and no a priori knowledge. The results achieved by the neural network are very satisfactory for the case of box-shaped objects. Furth…
MAD+. Introducing Misconceptions in the Temporal Analysis of the Mathematical Modelling Process of a Fermi Problem
This work describes how the combination of the mistakes committed by a group of pre-service teachers when solving a Fermi problem, with the representation of the temporal analysis of their resolutions, can offer more in-depth information about their conceptual misconceptions regarding mathematical and modelling concepts. The combined representation allows knowing when mistakes occur and provides a powerful tool for instructors to adapt the teaching–learning processes of mathematics at all levels of education. Our study is based on a recent categorisation of students’ mistakes, together with the creation of a new representation tool, called MAD+, that can combine all this information. The ma…
Studying and improving Mathematics instruction in secondary schools in Spain study group (grupo de estudio SiMiS1 )
El objetivo de este artículo es presentar y justificar el diseño de POEMat.ES, una pauta de observación de acciones del profesor de matemáticas en clase. POEMat.ES ha sido desarrollado por un grupo de investigadores con perfiles diversos en cuanto a experiencia docente e investigadora, a fin de sistematizar la observación de la práctica de enseñanza para entender e interpretar con precisión el proceso de enseñanza de matemáticas en educación secundaria en el contexto español. El diseño de POEMat.ES se ha basado en modelos específicos del conocimiento del profesor de matemáticas. La construcción del instrumento se aborda desde dos aproximaciones complementarias: se proponen categorías de obs…
New developments in simulation-based harbour crane training
This paper presents the efforts that have been made during the development of a set of harbour training simulators to improve their quality. The paper focuses on two main research lines: the improvement of complex physical systems involved in the simulation and the analysis of hardware architecture solutions. Cable-based hoist systems and bulk materials are systems present in different harbour equipment and are usually simulated with poor quality due to their complexity. In this paper physics-based models for the interactive simulation of these systems are proposed and applied to real cases. Also, different hardware simulator architectures are analysed and different approaches are proposed …
Texture advection on discontinuous flows
Texture advection techniques, which transport textures using a velocity field, are used to visualize the dynamics of a flow on a triangle mesh. Some flow phenomena lead to velocity fields with discontinuities that cause the deformation of the texture which is not properly controlled by these techniques. We propose a method to detect and visualize discontinuities on a flow, keeping consistent texture advection at both sides of the discontinuity. The method handles the possibility that the discontinuity travels across the domain of the flow with arbitrary velocity, estimating its speed with least-squares approximation. The technique is tested with different sample scenarios and with two avala…
Intelligent transport systems harmonisation assessment: use case of some Spanish intelligent transport systems services
From the 1980s, new telematic technologies have meant a great evolution in several areas. In the transportation domain, their use has implied the development and implementation of several intelligent transport systems (ITS). However, these deployments were done in an isolated way. Traffic managers, public and private organisations, stakeholders and others have implemented ITS without much perspective, that is, without providing ITS as services for end users. In the last few years, several European Union (EU) funded projects have been dealing with the development of harmonised ITS services. For example, the EasyWay Project is involving most of the European countries (EU member states and oth…
Forecasting Adverse Weather Situations in the Road Network
Weather is an important factor that affects traffic flow and road safety. Adverse weather situations affect the driving conditions directly; hence, drivers must be informed about the weather conditions downstream to adapt their driving. In the framework of intelligent transport systems, several systems have been developed to know the weather situations and inform drivers. However, these systems do not forecast weather in advance, and they need the support of road operators to inform drivers. This paper presents a new autonomous system to forecast weather conditions in a short time and to give users the information obtained. The system uses a set of algorithms and rules to determine the weat…
Use of ICT in Smart Cities. A practical case applied to traffic management in the city of Valencia
The whole process of converting a city into the new concept of Smart City implies the improvement of the efficiency and quality of services made available by governments and businesses and a corresponding increase in citizens' quality of life.
Deploying harmonized ITS services in the framework of EasyWay project
In the last decade, the use of new technologies in the transportation domain has made possible the development of the Intelligent Transport System (ITS). However, the ITS services were deployed isolated. The purpose of the EasyWay Project is to involve all the European countries to deploy harmonized ITS services taking into account the European citizen as final In this paper, an introduction of EasyWay project is done, including the ITS concept services and the Deployment Guidelines. A deployment guideline for traffic management and corridors is presented. Using this guideline, a real Spanish Traffic management Plan is analyzed.
Improving similarity measures for re-identification of vehicles using AMR sensors
The use of Anisotropic Magneto-Resistive (AMR) sensors for road traffic monitoring has gained popularity in recent years. The Earth magnetic field variations caused by vehicles passing over this kind of sensors can be measured and used for various purposes, including vehicle re-identification at different sensing zones. AMR sensors provide data that allow the calculation of traffic parameters by using simple signal processing techniques. But when vehicle re-identification is the objective, it is not clear which is the best method to compare the signals from different sensors in order to know whether or not they belong to the same vehicle. This paper presents an experimental study with the o…