Modelling and Control of Freeway Traffic

This paper presents the most recent developments of the Simulator of Intelligent Transportation Systems (SITS). The SITS is based on a microscopic simulation approach to reproduce real traffic conditions in an urban or non-urban network. In order to analyse the quality of the microscopic traffic simulator SITS a benchmark test was performed. A dynamical analysis of several traffic phenomena, applying a new modelling formalism based on the embedding of statistics and Laplace transform, is then addressed. The paper presents also a new traffic control concept applied to a freeway traffic system.

Solving a signalized traffic intersection problem with an hyperbolic penalty function

Mathematical Program with Complementarity Constraints (MPCC) finds many applications in fields such as engineering design, economic equilibrium and mathematical programming theory itself. A queueing system model resulting from a single signalized intersection regulated by pre-timed control in traffic network is considered. The model is formulated as an MPCC problem. A MATLAB implementation based on an hyperbolic penalty function is used to solve this practical problem, computing the total average waiting time of the vehicles in all queues and the green split allocation. The problem was codified in AMPL.

Simulation and dynamics of freeway traffic

This paper presents the new package entitled Simulator of Intelligent Transportation Systems (SITS) and a computational oriented analysis of traffic dynamics. The SITS adopts a microscopic simulation approach to reproduce real traffic conditions considering different types of vehicles, drivers and roads. A set of experiments with the SITS reveal the dynamic phenomena exhibited by this kind of system. For this purpose a modelling formalism is developed that embeds the statistics and the Laplace transform. The results make possible the adoption of classical system theory tools and point out that it is possible to study traffic systems taking advantage of the knowledge gathered with automatic control algorithms. A complementary perspective for the analysis of the traffic flow is also quantified through the entropy measure.

Gestão e monitorização de uma rede departamental: um caso de estudo

Mestrado em Engenharia Electrotécnica e de Computadores

Sistema multi-agente para gestão de tráfego em centros urbanos

Mestrado em Engenharia Informática

Sistema de Controlo Remoto de Luzes de Aeródromo

Este relatório apresenta o trabalho realizado no âmbito da unidade curricular de Dissertação do Mestrado em Engenharia Electrotécnica e de Computadores – área de especialização de Automação e Sistemas. O trabalho realizado consiste no desenvolvimento de um Sistema de Controlo Remoto de Luzes de Aeródromo (SCRLA) que pode ser aplicado em paralelo aos comandos locais de controlo das luzes de aproximação, pista ou circulação, entre outras, de uma infra-estrutura aeroportuária. O objectivo fundamental deste sistema consiste em permitir ao piloto de uma aeronave o acendimento das luzes do aeródromo desde a própria aeronave, recorrendo apenas ao equipamento de rádio VHF existente a bordo da mesma e que é normalmente usado para comunicações com os serviços de controlo de tráfego aéreo. Este sistema, em aeródromos com possível operação nocturna (e.g., heliportos de hospitais), permite uma redução dos custos associados a despesas com eventual pessoal técnico ou a redução da carga de trabalho neste, e uma diminuição do consumo de energia eléctrica, uma vez que as luzes apenas são acendidas quando necessário. Este sistema permite também reduzir a poluição luminosa no ambiente e contribui positivamente para a longevidade dos equipamentos luminosos. No desenvolvimento do sistema, foram adquiridos e/ou aplicados conhecimentos nas áreas de navegação aérea, infra-estruturas aeroportuárias, telecomunicações, normalização e estandardização, electrónicas analógica e digital, programação de baixo nível em microcontroladores, desenho e construção de circuitos impressos, desenho e construção mecânica.

Relatório de Estágio: Análise da eficiência do Sistema de controlo de tráfego da cidade do Porto

No âmbito da unidade curricular Dissertação/Estágio/Projeto, foi desenvolvido, durante um estágio na Câmara Municipal do Porto, o estudo da eficiência do sistema inteligente de controlo de tráfego implementado na cidade. Este sistema é designado como Sistema Inteligente de Gestão Autónoma - SIGA e tem como base de funcionamento o software de gestão de tráfego GERTRUDE da empresa GERTRUDE SAEM. O sistema de controlo de tráfego encontra-se repartido em 10 zonas interligadas, focadas essencialmente no centro da cidade do Porto. O estudo foi aplicado apenas a uma parte da zona da Constituição, nomeadamente a rua da Constituição, desde a Praça Marquês até à rua Antero de Quental. A eficiência mediu-se pela comparação de duas situações, a circulação e comportamento das correntes de tráfego com o sistema em funcionamento normal e com o sistema desativado. Por sua vez, o indicador utilizado que permitiu avaliar o sistema, foi o nível de serviço obtido pelo atraso médio por veículo em cada ramo de cada interseção. Para determinação do atraso, foram testados diferentes métodos, para se tentar perceber qual aquele que melhor se adequava à situação e que exigia menor número de recursos humanos. À frente serão exaradas algumas conclusões acerca da metodologia de cada um deles e condicionantes que levaram à não utilização de todos os métodos. Depois de aplicadas as metodologias que permitiram determinar o nível de serviço em cada grupo semafórico das diferentes interseções, percebeu-se que existe uma grande diferença na circulação entre as duas situações, sendo que a mais-valia que este sistema apresenta é a coordenação das diferentes interseções que se encontram abrangidas pelas 10 zonas pertencentes ao SIGA.

Scheduling IP traffic in multimedia-enabled PROFIBUS networks

Technological developments are pulling fieldbus networks to support a new wide class of applications, such as industrial multimedia applications. To enable its use in this kind of applications the TCP/IP suite of protocols can be integrated within a fieldbus stack, leading to a dual-stack approach that is briefly outlined in the paper. One important requirement that must be fulfilled by this approach is that the hard real-time guarantees provided to the control-related traffic ("native" fieldbus traffic) are kept. At the same time it must also provide the desired quality of service (QoS) to IP applications. The focus of the paper is on how, in such a dual-stack approach, QoS can be efficiently provided to IP applications requiring quasi-constant bandwidth.

A traffic differentiation add-on to the IEEE 802.15.4 protocol: implementation and experimental validation over a real-time operating system

The IEEE 802.15.4 is the most widespread used protocol for Wireless Sensor Networks (WSNs) and it is being used as a baseline for several higher layer protocols such as ZigBee, 6LoWPAN or WirelessHART. Its MAC (Medium Access Control) supports both contention-free (CFP, based on the reservation of guaranteed time-slots GTS) and contention based (CAP, ruled by CSMA/CA) access, when operating in beacon-enabled mode. Thus, it enables the differentiation between real-time and best-effort traffic. However, some WSN applications and higher layer protocols may strongly benefit from the possibility of supporting more traffic classes. This happens, for instance, for dense WSNs used in time-sensitive industrial applications. In this context, we propose to differentiate traffic classes within the CAP, enabling lower transmission delays and higher success probability to timecritical messages, such as for event detection, GTS reservation and network management. Building upon a previously proposed methodology (TRADIF), in this paper we outline its implementation and experimental validation over a real-time operating system. Importantly, TRADIF is fully backward compatible with the IEEE 802.15.4 standard, enabling to create different traffic classes just by tuning some MAC parameters.

Fractional analysis of traffic dynamics

This article presents a dynamical analysis of several traffic phenomena, applying a new modelling formalism based on the embedding of statistics and Laplace transform. The new dynamic description integrates the concepts of fractional calculus leading to a more natural treatment of the continuum of the Transfer Function parameters intrinsic in this system. The results using system theory tools point out that it is possible to study traffic systems, taking advantage of the knowledge gathered with automatic control algorithms. Dynamics, Games and Science I Dynamics, Games and Science I Look Inside Other actions Export citation About this Book Reprints and Permissions Add to Papers Share Share this content on Facebook Share this content on Twitter Share this content on LinkedIn

Intelligent supervisory control system for home devices using a cyber physical approach

Although we have many electric devices at home, there are just few systems to evaluate, monitor and control them. Sometimes users go out and leave their electric devices turned on what can cause energy wasting and dangerous situations. Therefore most of the users may want to know the using states of their electrical appliances through their mobile devices in a pervasive way. In this paper, we propose an Intelligent Supervisory Control System to evaluate, monitor and control the use of electric devices in home, from outside. Because of the transferring data to evaluate, monitor and control user's location and state of home (ex. nobody at home) may be opened to attacks leading to dangerous situations. In our model we include a location privacy module and encryption module to provide security to user location and data. Intelligent Supervising Control System gives to the user the ability to manage electricity loads by means of a multi-agent system involving evaluation, monitoring, control and energy resource agents.

Adaptable control for electrical generation at irregural wind speeds

The main aims of this work are the development and the validation of one generic algorithm to provide the optimal control of small power wind generators. That means up to 40 kW and blades with fixed pitch angle. This algorithm allows the development of controllers to fetch the wind generators at the desired operational point in variable operating conditions. The problems posed by the variable wind intensity are solved using the proposed algorithm. This is done with no explicit measure of the wind velocity, and so no special equipment or anemometer is required to compute or measure the wind velocity.

Genetic algorithm methodology applied to intelligent house control

In recent years the use of several new resources in power systems, such as distributed generation, demand response and more recently electric vehicles, has significantly increased. Power systems aim at lowering operational costs, requiring an adequate energy resources management. In this context, load consumption management plays an important role, being necessary to use optimization strategies to adjust the consumption to the supply profile. These optimization strategies can be integrated in demand response programs. The control of the energy consumption of an intelligent house has the objective of optimizing the load consumption. This paper presents a genetic algorithm approach to manage the consumption of a residential house making use of a SCADA system developed by the authors. Consumption management is done reducing or curtailing loads to keep the power consumption in, or below, a specified energy consumption limit. This limit is determined according to the consumer strategy and taking into account the renewable based micro generation, energy price, supplier solicitations, and consumers’ preferences. The proposed approach is compared with a mixed integer non-linear approach.

Intelligent behavior in a Cyber-Ambient training system for control center operators

This paper deals with the application of an intelligent tutoring approach to delivery training in diagnosis procedures of a Power System. In particular, the mechanisms implemented by the training tool to support the trainees are detailed. This tool is part of an architecture conceived to integrate Power Systems tools in a Power System Control Centre, based on an Ambient Intelligent paradigm. The present work is integrated in the CITOPSY project which main goal is to achieve a better integration between operators and control room applications, considering the needs of people, customizing requirements and forecasting behaviors.

Using an ambient intelligent architecture for developing an intelligent tutoring system for training operators of power system control centres

This paper describes an architecture conceived to integrate Power Sys-tems tools in a Power System Control Centre, based on an Ambient Intelligent (AmI) paradigm. This architecture is an instantiation of the generic architecture proposed in [1] for developing systems that interact with AmI environments. This architecture has been proposed as a consequence of a methodology for the inclu-sion of Artificial Intelligence in AmI environments (ISyRAmI - Intelligent Sys-tems Research for Ambient Intelligence). The architecture presented in the paper will be able to integrate two applications in the control room of a power system transmission network. The first is SPARSE expert system, used to get diagnosis of incidents and to support power restoration. The second application is an Intelligent Tutoring System (ITS) incorporating two training tools. The first tutoring tool is used to train operators to get the diagnosis of incidents. The second one is another tutoring tool used to train operators to perform restoration procedures.