
Stefania BandiniUniversità degli Studi di Milano-Bicocca | UNIMIB · Department of Informatics, Systems and Communication (DISCo)
Stefania Bandini
Computer Science PhD
About
336
Publications
60,816
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Introduction
Stefania Bandini, Full Professor of Computer Science and expert in Artificial Intelligence, with a career spanning academia and research institutions worldwide (RCAST - The University of Tokyo), Director of the Complex Systems & Artificial Intelligence Studies and Research Center and the Artificial Intelligence Lab (University of Milan-Bicocca-Italy), she spearheads multidisciplinary research agent-based simulation techniques (digital-twins for engineering and management).
Additional affiliations
April 2010 - March 2011
January 1992 - January 1998
July 2015 - present
Education
November 1984 - February 1988
October 1977 - June 1982
Publications
Publications (336)
The main aim of this paper is to present a study on walkability in remote areas supporting the design of new proper indexes through integrated and territorial data coming from different sources with AI-based techniques to promote synergized social sustainability. Most of the research on walkability has been addressed in urban contexts and the devel...
This paper aims at discussing the ongoing research activities that are being conducted on the use of AI-based solutions to promote walkability indexes in the Italian inner areas. Although social sustainability is an expected outcome of the walkability concept, the literature has focused on urban social sustainability and the development of socially...
Informal or unpaid caregivers, commonly known as family caregivers, are responsible for providing the 80% of
long-term care in Europe, which constitutes a significant portion of health and social care services offered to elderly or
disabled individuals. However, the demand for informal care among the elderly is expected to outnumber available suppl...
Informal or unpaid caregivers, commonly known as family caregivers, are responsible for providing the 80% of long-term care in Europe, which constitutes a significant portion of health and social care services offered to elderly or disabled individuals. However, the demand for informal care among the elderly is expected to outnumber available suppl...
Despite the rapid development in very recent years of Artificial Intelligence models to predict poverty risk, this problem still remains an unsolved open challenge, especially from a multidimensional perspective. One of the main challenges is related to the scarcity of labelled and high-quality data for training models coupled with the lack of a ge...
Due to aging demographics, prolonged life expectancy, and chronic diseases, European societies' increasing need for care services has led to a shift towards informal care supplied by family members, friends, or neighbors. However, the progressive decrease in the caregiver-to-patient ratio will result in a significant augmentation in incorporating i...
Informal or unpaid caregivers, commonly known as family caregivers, are responsible for providing the 80% of long-term care in Europe, which constitutes a significant portion of health and social care services offered to elderly or disabled individuals. However, the demand for informal care among the elderly is expected to outnumber available suppl...
Poverty is a multidimensional concept that is not only related to economic aspects but also to health status, consumption,
social and context deprivation. In particular, older adults are likely to require help with some or everyday activities and the
total costs of this help can be very high especially when they are alone and not in good health. In...
Cellular Automata have successfully been successfully applied to the modeling and simulation of pedestrian and crowd dynamics. In particular, the investigated scenarios have often been focused on the evaluation of medium–high population density situations, in which the motivation of pedestrians to reach a certain location overcomes their tendency t...
In this paper, we face the problem of task classification starting from physiological signals acquired using wearable sensors with experiments in a controlled environment, designed to consider two different age populations: young adults and older adults. Two different scenarios are considered. In the first one, subjects are involved in different co...
In near future scenarios, self-driving vehicles will circulate in urban environments, and their behaviour should be adapted with respect to different types of pedestrians. In particular, vehicles should be able to provide effective feedback, especially when dealing with the most vulnerable people, such as older adults and impaired subjects. Within...
Poverty is a multidimensional concept that, besides the economic status and financial resources, should consider the lack of access to resources enabling a minimum standard of living and participation in society. In particular, elderly people are likely to require help with some or everyday activities and the total costs of this help can be very hi...
Urban design has followed different schools and traditions, among which we highlight the smart cities and the human-centered cities initiatives, which contrast in certain respects and are complementary in others, similar to how traditional psychology and positive psychology are contrasting and complementary, and to how artificial intelligence has f...
Cellular Automata have successfully been applied to the modeling and simulation of pedestrian dynamics. These simulations have often been focused on the evaluation of situations of medium-high density, in which the motivation of pedestrians overcomes natural proxemic tendencies. The COVID-19 outbreak has shown that in certain situations it is inste...
Physiological responses are currently widely used to recognize the affective state of subjects in real-life scenarios. However, these data are intrinsically subject-dependent, making machine learning techniques for data classification not easily applicable due to inter-subject variability. In this work, the reduction of inter-subject heterogeneity...
Physiological responses are nowadays widely used to recognize the affective state of subjects in real-life scenarios. However, these data are intrinsically subject-dependent, making machine learning techniques for data classification not easily applicable due to inter-subject variability. In this work, the reduction of inter-subject heterogeneity i...
In this work we rely on physiological signals as honest indicator of people’s instinctive behavior or
emotions. Benefiting from the fact that these signals can be easily acquired from wearable devices, we
here analyze the ability of these data to classify not only different human activities but also individuals’
age. We consider Photoplethysmograph...
Many manifestations of interactive human behavior (social and with the environment) are conditioned by
emotions, influencing reasoning and other rational decision making activities. The study of the interplay
of emotional and non-emotional behaviors (spatial motion) is here faced through the modeling of affective
agents where affective states are e...
The development of cities aware of the needs of all citizens is a priority, especially in the case of elderly people. In this context, particular attention should be paid to the analysis of walkability. It has been proved that performing walking activities produces significant benefits both for physical and mental health, above all in elderly subje...
ABSTRACT
Physiological data are nowadays frequently used to recognize the
affective state of subjects while performing different tasks. Automatic recognition of a stressful state as a consequence of a high level of cognitive load is significant to prevent illnesses like depression, anxiety and sleep disorders that are often due to excessive workloa...
Populations around the world are rapidly ageing as the population aged 65 and over is growing faster than all other age groups. Most of the daily life actions of active elderly are related to walking activities, thus guaranteeing walking environments that are elderly-friendly are nowadays a priority to ensure healthy aging. Measuring and recognizin...
The modeling of a new generation of agent-based simulation systems supporting pedestrian and crowd management taking into account affective states represents a new research frontier. Pedestrian behaviour involves human perception processes, based on subjective and psychological aspects. Following the concept of pedestrian environmental awareness, e...
This book constitutes the refereed proceedings of the 14th International Conference on Cellular Automata for Research and Industry, ACRI 2020, which took place in Lodz, Poland, during December 2-4, 2020.
The 24 full and 3 short papers presented in this volume were carefully reviewed and selected from 40 submissions. They were organized in topical s...
This book constitutes the refereed post proceedings of the XIXth International Conference of the Italian Association for Artificial Intelligence, AIxIA 2020, held in Milano, Italy, in November 2020.
Due to the COVID-19 pandemic, the conference was "rebooted"/ re-organized w.r.t. the original format.
The 27 full papers were carefully reviewed and se...
In this paper we explore if physiological signals obtained from a person through wearable sensors permit the correct interpretation of human affective states. A crucial aspect within this field of research is the capability of inducing real-life emotions in laboratory environments. To this end we designed a very strict and regulated experimental pr...
RoadFeliciani, ClaudioCrociani, LucaGorrini, AndreaNagahama, AkihitoNishinari, KatsuhiroBandini, Stefania accidents are among the leading cause of death worldwide, with developing countries paying the highest toll. Among the different road users, pedestrians are the most vulnerable. A better understanding of the relation occurring between car drive...
Models for pedestrian simulation are employed on a day-to-day basis for supporting the design and planning of the built environment in normal and evacuation situations. One of the aspects that are least investigated in the community, probably because it is considered closer to technology transfer than to research, is the modelling of operational el...
Pedestrian behavioural dynamics have been growingly investigated by means of (semi)automated computing techniques for almost two decades, exploiting advancements on computing power, sensor accuracy and availability, computer vision algorithms. This has led to a unique consensus on the existence of significant difference between unidirectional and b...
Modeling pedestrian decision making activities represents a serious challenge: different decisions are taken at distinct levels of abstraction, employing heterogeneous information and knowledge about the environment, from path planning to the regulation of distance from other pedestrians and obstacles present in the environment. Pedestrians, moreov...
In this paper we present an algorithm to track the motion of a salient object using Cellular Automata (CA). The overall work, taking inspiration from recent research on insect sensory motor system, investigates the application of non conventional computer vision approaches to evaluate their effectiveness in fulfilling this task. The proposed system...
The ageing of our society, due to the technological advancements brought in our lives, its a sign of how better we can now live compared even just to a decade ago. Because of this, one of the important aspects that our society is now focused on is bringing proper care to all of the senior citizens that take advantage of these technological improvem...
Although it is widely recognised that the presence of groups influences microscopic and aggregated pedestrian dynamics, a precise characterisation of the phenomenon still calls for evidences and insights. The present paper describes micro- and macro-level original analyses on data characterising pedestrian behaviour in the presence of counterflows...
Unsignalized crosswalks are one of the most critical/risky traffic infrastructures in terms of safety, due to potentially vehicle–pedestrian conflictual interactions. Many accidents occur there and elderly pedestrians are among the most vulnerable victims. In a previous work, a simulation model has been developed with the aim of predicting traffic...
Environmental, demographical and psychological factors have a demonstrated impact on risky crossing behaviour. In this work we focus on the potential influence of social factors on the considered phenomenon (i.e., group crossing decision). We present the results of a video-recorded observation about the crossing behaviour of singles and dyads at no...
This paper presents entropy maps, an approach to describing and visualising uncertainty among alternative potential movement intentions in pedestrian simulation models. In particular, entropy maps show the instantaneous level of randomness in decisions of a pedestrian agent situated in a specific point of the simulated environment with an heatmap a...
Artificial Intelligence (AI) is a core research and application area, pervading many fields of knowledge and offering new perspective in the computational landscape of the future. The main purpose of this first edition of the Summer School "Advances in Artificial Intelligence" is to gather scholars, researchers and PhD students to learn and explore...
This work presents a simulation model for unsignalized crosswalks which takes into account collisions between vehicles and pedestrians, thus allowing to assess the estimated yearly pedestrian fatality. In particular, we focus on a method to calibrate such a model combining measurable crosswalk characteristics, such as maximum speed limit or drivers...
In the context of progressive urbanization and ageing of the population, the LONGEVICITY project has the objective to study advanced solutions for enhancing the social inclusion of the elderly through walkability. The paper is focused on the application of GIS for the definition of a novel Elderly Walkability Index. This is based of the analysis of...
In the context of global progressive urbanization and ageing of the population, the LONGEVICITY Project has the objective to study advanced solutions to assess and enhance the walkability of urban environments. This is aimed at sustaining the social inclusion of the elderly citizens. The paper introduces one of the research activities of the projec...
Agent-based simulations of pedestrian crowd dynamics can support the design of transportation facilities in terms of efficiency, comfort and safety. The development of realistic models requires the acquisition of empirical evidences about human behavior. The paper reports the results of an experiment of pedestrian personal space: the area surroundi...
The use of agent-based simulation systems can provide an innovative framework to support the design of age-friendly cities, focusing on walkability assessment. This is aimed at managing the complex interaction between elderly pedestrians and vehicles at zebra crossings, in which the compliance to traffic norms plays a fundamental role. The data of...
The use of agent-based simulation systems can provide an innovative framework to support the design of age-friendly cities, focusing on walkability assessment. This is aimed at managing the complex interaction between elderly pedestrians and vehicles at zebra crossings, in which the compliance to traffic norms plays a fundamental role. The data of...
Pedestrian behavioral dynamics have been growingly investigated by means of (semi)automated computing techniques for almost two decades, exploiting advancements on computing power, sensor accuracy and availability, computer vision algorithms. This has led to a unique consensus on the existence of significant difference between uni-directional and b...
In the context of global progressive urbanization and ageing of the population, the LONGEVICITY Project has the objective to study advanced solutions to assess and enhance the walkability of urban environments (level of pedestrian-friendliness of a city in terms of usefulness, comfort, safety, attractiveness and accessibility), in order to sustain...
Multi-scale modelling is a powerful approach that has been successfully exploited in the context of simulation of traffic and transportation systems. While the paradigm allows the simulation of large cities in a already efficient fashion, the consideration of detailed environments for a precise simulation of pedestrian traffic can be still a demand...
Computer simulation for pedestrian dynamics is at the same time an application area in which research has completed its cycle and an active and lively research context in which contributions from different disciplines still produce advancements on the state of the art. The study of effects of the presence of groups in the simulated population is ob...
The dynamics of agent-based systems provide a framework to face the complexity of pedestrian-vehicle interactions in future cities, in which the compliance to traffic norms plays a fundamental role. The data of an observation performed at a non-signalized intersection are presented to provide useful insights for supporting the future development of...
This paper presents a model to simulate non-signalized pedestrian crosswalks. Principal scope is to develop a tool to be used by decision-makers to evaluate the necessity of introducing a new crosswalk and/or switching to a traffic light and estimate the potential benefits of such a measure in terms of Level of Service. The model is based on empiri...
Although it is widely recognised that the presence of groups influences microscopic and aggregated pedestrian dynamics, a precise characterisation of the phenomenon still calls for evidences and insights. The present paper describes micro and macro level original analyses on data characterising pedestrian behaviour in presence of counter-flows and...
The dynamics of agent-based models and systems provides a framework to face complex issues related to the management of future cities, such as transportation and mobility. Once validated against empirical data, the use of agent-based simulations allows to envision and analyse complex phenomena, not directly accessible from the real world, in a pred...
Environmental, demographical and psychological factors have a demonstrated impact on risky crossing behaviour. In this work we focus on the potential influence of social factors on the considered phenomenon (i.e. group crossing decision). We present the results of a video-recorded observation about the crossing behaviour of singles and dyads at non...
Environmental, demographical and psychological factors have a demonstrated impact on risky crossing behaviour. In this work we focus on the potential influence of social factors on the considered phenomenon (i.e. group crossing decision). We present the results of a video-recorded observation about the crossing behaviour of singles and dyads at non...
The dynamics of agent-based systems provide a framework to face the complexity of pedestrian/vehicle interactions in future cities, in which the compliance to traffic norms plays a fundamental role. The data of an observation performed at a non-signalized intersection are presented to provide useful insights for supporting the future development of...
Pedestrian simulation models based on Cellular Automata are viable alternatives to particle based approaches, employing a continuous spatial representation. The effects of discretisation, however, also imply some difficulties in modelling phenomena observed in reality. This paper focuses on the possibility to manage heterogeneity in the walking spe...
Several issues in transferring AI results in crowd modeling and simulation are due to the fact that control applications are aimed at achieving optimal solutions, whereas simulations have to deal with the notions of plausibility and validity. The latter requires empirical evidences that, for some specific phenomena, are still scarce and hard to acq...
This paper
presents
the tactical
level component of a hybrid agent architecture in which these decisions are enacted at the operational level by means of a floor-field based model, in a discrete simulation approach. This allows the agent to take decisions based on a static a-priori knowledge of the environment and dynamic perceivable information on...
Pedestrian
flows are characterised by
the preponderant presence
of groups, with particular reference to dyads. The paper presents a research focused on group and age-driven pedestrian behaviour in an urban crowded scenario. Data analysis was performed by using an open source tracker tool. Results showed that in situation of irregular flows (LOS B)...
The modelling
and simulation
of pedestrians
and crowd dynamics require empirical evidences and quantitative data describing the relevant phenomena that models must be able to reproduce. Computer vision can provide several tools both to semi-automatically acquire the demand of a given situation and actually configure a simulation model, as well as t...
Simulation of pedestrian and crowd dynamics is a consolidated application of agent-based models but it still presents room for improvement. Wayfinding, for instance, is a fundamental task for the application of such models on complex environments, but it still requires both empirical evidences as well as models better reflecting them. In this paper...
Computer-based simulation of pedestrian dynamics reached meaningful results in the last decade, thanks to empirical evidences and acquired knowledge fitting fundamental diagram constraints and space utilization. Moreover, computational models for pedestrian wayfinding often neglect extensive empirical evidences supporting the calibration and valida...
The calibration and validation of pedestrian simulations require the acquisition of empirical evidences of human behaviour. The current work presents the results of an experiment focused on the potentially combined effect of counter flow and grouping on pedestrian dynamics. In particular, we focused on: (i) four different configurations of flow rat...
The calibration and validation of pedestrian simulations require the acquisition of empirical evidences of human behaviour. The current work presents the results of an experiment focused on the potential combined effect of counter flow and grouping on pedestrian dynamics. In particular, we focused on four different configurations of flow ratio (the...
The modelling and simulation of the interaction among vehicles and pedestrians during cross-walking is an open challenge for both research and practical computational solutions supporting urban/traffic decision makers and managers. The social cost of pedestrians' risky behaviour pushes the development of a new generation of computational models int...
In certain situations the simultaneous dynamics of two systems influencing each other, for instance due to the fact that they share a portion of space, must be simulated to study the interaction among them. When a CA approach is adopted to model this kind of situation, we must consider that particular care in selecting the proper granularity level...