Rosaldo J. F. Rossetti

Rosaldo J. F. Rossetti
University of Porto | UP · Departamento de Engenharia Informática

PhD, MSc, MEng

About

229
Publications
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1,839
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Publications

Publications (229)
Preprint
The continuous migration of people towards cities has led to an increase in resource consumption among homes, primarily in terms of energy and water. This phenomenon calls for resource management solutions in an attempt to drive sustainable consumption patterns. Among these solutions lie Home Automation Systems (HAS) capable of monitoring and contr...
Conference Paper
Carbon Markets are a market-based tool to help the fight against climate change by reducing greenhouse gases (GHG) emissions. Corporations have to buy allowances covering the emissions they produce, being required to pay heavy penalties otherwise. It is based on the ‘cap and trade’ principle, meaning that there is a cap value - the maximum number o...
Conference Paper
Pedestrian simulation is often forgotten or implemented poorly in most high profile traffic simulators. This is the case of SUMO, where the pedestrian models are very simple and not based in real human behaviour, making it impossible to study pedestrian safety with it. With this in mind, the ability to externally control pedestrians in SUMO was exp...
Article
Full-text available
Our lives are made of social interactions which can be recorded through personal gadgets as well as sensors capturing ubiquitous and social data. This type of data, such as spatio-temporal data from the real-time location of people, for example, can then be used for inferring interactions which can be translated into behavioural patterns. In this p...
Chapter
The workshop on Machine Learning in Smart Mobility (MLSM) was co-located with the 21st International Conference on Intelligent Data Engineering and Automated Learning—IDEAL 2020, held online on November 4–6.
Chapter
Computer vision and deep learning have been widely popularised on the turn of the 21\(^{st}\) century. On the centre of its applications we find autonomous driving. As this challenge becomes a racing platform for all companies, both directly and indirectly involved with transportation systems, it is only pertinent to evaluate exactly how some gener...
Chapter
Transportation issues have imposed major challenges in many countries around the world, especially in large urban areas. A great deal of such challenges is related to factors such as: speed limits of particular sites, minimum safe distance between two vehicles, and the uncertainty inherent to drivers’ behaviour. These apply to urban and inter-urban...
Chapter
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The fast pace in blockchain development introduced the concept of Smart Contract as a way to deploy digital contracts as pieces of code on the blockchain network. Smart contracts differ from the traditional ones in many aspects related to their automated execution. Still, there are many open issues, such as legal frameworks and regulatory aspects....
Chapter
Essentially, our lives are made of social interactions. These can be recorded through personal gadgets as well as sensors adequately attached to people for research purposes. In particular, such sensors may record real time location of people. This location data can then be used to infer interactions, which may be translated into behavioural patter...
Conference Paper
Full-text available
This paper proposes the application of market-based mechanisms to establish cooperative behavior within traffic scenarios involving autonomous vehicles. The aim is to understand the suitability of commonly used auction rules as a potential mechanism for tactical-level collective decision making in platoon applications considering near-reliable comm...
Conference Paper
Traffic congestion threats the vitality of cities and welfare of citizens. Transportation systems are using various technologies to allow users to adapt and make different decisions towards transportation modes. Modification and improvement of this systems affect commuters perspective and social welfare. In this study, the effect of road flow equil...
Conference Paper
Full-text available
Traffic congestion is an issue regarding the vitality of cities and the welfare of citizens. Transportation systems are using various technologies to allow users to adapt and make different decisions towards transportation modes. Modification and improvement of these systems affect the commuters' perspective and social welfare. In this study, the e...
Conference Paper
Full-text available
Microscopic simulation requires accurate car-following models so that they can properly emulate real-world traffic. In order to define these models, calibration procedures can be used. The main problem with reliable calibration methods is their high cost, either in terms of the time they need to produce a model or due to high resource requirements....
Chapter
Interest in robotics field as a teaching tool to promote the STEM areas has grown in the past years. The search for solutions to promote robotics is a major challenge and the use of real robots always increases costs. An alternative is the use of a simulator. The construction of a simulator related with the Portuguese Autonomous Driving Competition...
Chapter
Electronic institutions are socially-inspired multi-agent systems, typically operating under a set of policies, which are required to determine system operation and to deal with violations and other non-compliant behaviour. They are often faced with a dynamic population of agents, social network, and environment and their policy should suit this co...
Chapter
Elevation data is important for precise electric vehicle simulation. However, traffic simulators are often strictly two-dimensional and do not offer the capability of modelling urban networks taking elevation into account. In particular, SUMO—Simulation of Urban Mobility, a popular microscopic traffic simulation platform, relies on urban networks p...
Conference Paper
Full-text available
Nowadays and in the contemporary age, the reality of an all-autonomous traffic seems closer and closer.However, this transition period casts a lot of cards onto the table. Although technology can be replacing people at the driver seat, it has not as yet gained our full trust in what concerns communication in real time and safety.Humans interact on...
Article
Full-text available
This paper presents a person-based traffic signal control strategy for isolated intersection, including simultaneously signal plan design and signal timing optimization with real-time information on the network dynamics. In order to update the traffic signal control plan, a model of efficient allocation of an available resource (green time period)...
Article
Full-text available
Interest in robotics field as a teaching tool to promote the STEM areas has grown in the past years. The search for solutions to promote robotics is a major challenge and the use of real robots always increases costs. An alternative is the use of a simulator. The construction of a simulator related with the Portuguese Autonomous Driving Competition...
Article
Full-text available
This work presents a framework for collecting, processing and mining geo-located tweets in order to extract meaningful and actionable knowledge in the context of smart cities. We collected and characterized more than 9M tweets from the two biggest cities in Brazil, Rio de Janeiro and S\~ao Paulo. We performed topic modeling using the Latent Dirichl...
Article
Full-text available
Knowledge mining from the historical traffic big data is absolutely necessary for future intelligent transportation system (ITS) and smart city. Mining traffic data is a challenging task that can be used for traffic forecasting and improving traffic flow. In this paper, we explore and analyse the historical traffic big data to extract the informati...
Conference Paper
Full-text available
In the last years researchers in the field of intelligent transportation systems have made several efforts to extract valuable information from social media streams. However, collecting domain-specific data from any social media is a challenging task demanding appropriate and robust classification methods. In this work we focus on exploring geo-loc...
Conference Paper
Full-text available
Contemporary information systems provide extended capabilities to support both system and market operations and favour the emergence of dynamic marketplaces to complement traditional market organisations. An integrated market-based approach considers the coexistence of different market types and their interaction. We discuss ResMAS, a conceptual mo...
Article
Full-text available
This paper describes an experiment designed to elicit human behaviour when facing the urgent need of exiting an unknown building. This work is part of a larger effort to devise the methodological approach underlying the implementation of simulation of pedestrians and elicitation of their emergent dynamics, an experimental framework coined SPEED. To...
Conference Paper
Over the last decade, the impressive technological advancement around artificial intelligence have encouraged and stimulated much research on driverless cars. Inevitability, such novelty casts huge speculation on its effective deployment in the urban reality. The viability issue of cybercars demands appropriate research so as to infer and validate...
Conference Paper
Full-text available
Taxi sharing services have been increasing in the past few years in several countries. In this paper we propose a solution to taxi sharing problem based on Vehicle Routing Problem (VRP) with Temporal Restriction. We approach the problem in a static way, for testing purposes. Two metaheuristics were used to determine the best travel plans for taxi s...
Conference Paper
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Private individual transportation is becoming cumbersome and expensive, as urban traffic turns more chaotic, fuel prices increase and the effects of pollutant emissions become evident. Public buses are an attractive approach to reducing the cars in use, as they mostly depend on pre-existent infrastructure. Making these buses electric would mean eve...
Conference Paper
Full-text available
Automatic Vehicle Location (AVL) is becoming an important tool in Intelligent Transportation Systems (ITS) in the past few years, as it is an effective way of collecting and transmitting data regarding the vehicle's trip for real-time or future use. A methodology for analyzing the state of the art regarding the application of these systems is propo...
Conference Paper
Full-text available
In recent years, there has been an interest in detailed monitoring of road traffic, particularly in intersections, in order to obtain a statistical model of the flow of vehicles through them. These models aid in the optimization of traffic management and allow for smarter transportation systems. While conventional methods sensors at each of the int...
Conference Paper
It is with great pleasure and excitement that I welcome you all to Rio and to IEEE ITSC 2016! In its 19 th edition and having travelled many countries already, I'm highly honoured to lead the organization of the prestigious flagship conference of IEEE Intelligent Transportation Systems Society, held for the first time in the Southern Hemisphere, mo...
Conference Paper
In the contemporary world, simulation has been gaining a huge importance due to the cost reduction it promotes on many different areas. This paper proposes a validation methodology for the simulation model of an electric bus. This methodology consists in applying the sensitivity analysis method to assess the robustness of the model, compared to rea...
Conference Paper
Full-text available
This work proposes a novel framework for the development of new products and services in transportation through an open innovation approach based on automatic content analysis of social media data. The framework is able to extract users comments from Online Social Networks (OSN), to process and analyze text through information extraction and sentim...
Article
Full-text available
This work proposes a novel framework for the development of new products and services in transportation through an open innovation approach based on automatic content analysis of social media data. The framework is able to extract users comments from Online Social Networks (OSN), to process and analyze text through information extraction and sentim...
Article
Full-text available
High Angular Resolution Diffusion Imaging (HARDI) is a type of brain imaging that collects a very large amount of data, and if many subjects are considered then it amounts to a big data framework (e.g., the human connectome project has 20 Terabytes of data). HARDI is also becoming increasingly relevant for clinical settings (e.g., detecting early c...
Conference Paper
Full-text available
Sensor data is extremely important to monitor machines at the shop-floor level and its environmental surrounding conditions for condition-based monitoring, machine diagnosis and process adaptation to new requirements. Based on the described scope, self-diagnostics and self-organizing capabilities are core functionalities of any Industrial Wireless...
Article
This article describes the various steps to analyze and design a multiagent system for real-time traffic control at isolated intersections. The control strategies for traffic signals are important because they impact the economy, environment, and society and also affect freight transport, which many researchers have studied over the years. The rese...
Article
Full-text available
Elevation data is important for electric vehicle simulation. However, traffic simulators are often two-dimensional and do not offer the capability of modelling urban networks taking elevation into account. Specifically, SUMO - Simulation of Urban Mobility, a popular microscopic traffic simulator, relies on networks previously modelled with elevatio...
Conference Paper
Full-text available
Interest in robotics field as a teaching tool to promote the STEM areas – Science, Technology, Engineering and Mathematics has grown in the past years. The search for costless solutions to promote robotics is a major challenge and the use of real robots always increases associated costs. An alternative to this is the use of a simulator. The constru...
Conference Paper
Elevation data is very important for precise electric vehicle simulation. However, traffic simulators are often strictly two-dimensional and do not offer the capability of modelling urban networks taking elevation into account. In particular, SUMO — Simulation of Urban Mobility, an often used microscopic traffic simulation platform, relies on urban...
Conference Paper
Full-text available
Recently, many studies in the literature have been intensified in the scope of mobility services, presenting new technological solutions that can minimize problems, such as traffic congestion and the emission of greenhouse gases resulting from the population growth in large cities. Some services, namely shared services, are mainly dedicated to tryi...
Conference Paper
Full-text available
A implementação das Medidas de Autoproteção, no que se refere aos Simulacros e formação, tem revelado algumas dificuldades. Os simulacros são simplificados e as ações de formação são aligeiradas e sem a componente prática. A aquisição de conhecimento sobre os ocupantes em situação de incêndio tem-se revelado complicada em consequência da dificuldad...
Conference Paper
Full-text available
This paper focuses on an approach to dynamic planning, for an emergency ambient such as team rescue in indoors fire. First a graph is generated as the simulation runs, creating an effect similar to means-end analysis as each fire trying to reach the firefighter. This graph is updated in real time, improving the solution performance and reacting to...
Chapter
This final chapter explores the potential of traffic assignment models for development, beyond traditional or advanced applications. The modeling of public transportation systems is a fertile terrain for research, especially as the digital era is seeing a proliferation of innovations: in the operation of existing systems and above all in the design...
Chapter
Full-text available
Rail-rail transshipment terminals (RRTT) play the hub role in hub-and- spoke rail networks. In this type of terminals, containers are transshipped among freight trains by gantry cranes. This study aims at scheduling crane operations with an agent-based simulation approach to minimize the total transshipment time. The decisions to make include: the...
Article
Detecting and diagnosing unwanted behavior in multiagent systems (MASs) are crucial to ascertain correct operation of agents. Current techniques assume a priori knowledge to identify unexpected behavior. However, generation of MAS models is both error-prone and time-consuming, as it exponentially increases with the number of agents and their intera...