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Towards an integrated approach to crowd analysis and crowd synthesis: A case study and first results

Pattern recognition letters, 2014-07, Vol.44, p.16-29

2014

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Pedestrian Simulation with Reinforcement Learning: A Curriculum-Based Approach

Future internet, 2023-01, Vol.15 (1), p.12

2023

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AIxIA 2021 - Advances in Artificial Intelligence: 20th International Conference of the Italian Association for Artificial Intelligence, Virtual Event, December 1-3, 2021, Revised Selected Papers

1, 2022

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Mobility analysis of the aged pedestrians by experiment and simulation

Pattern recognition letters, 2014-07, Vol.44, p.58-63

2014

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Multi-scale Simulation for Crowd Management: A Case Study in an Urban Scenario

Autonomous Agents and Multiagent Systems, 2016, Vol.10002, p.147-162

2016

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Calibration and validation of a simulation model for predicting pedestrian fatalities at unsignalized crosswalks by means of statistical traffic data

Journal of Traffic and Transportation Engineering (English Edition), 2020-02, Vol.7 (1), p.1-18

2020

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Algorithmic Music for Therapy: Effectiveness and Perspectives

Applied sciences, 2021-10, Vol.11 (19), p.8833

2021

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How Academics and the Public Experienced Immersive Virtual Reality for Geo-Education

Geosciences (Basel), 2022-01, Vol.12 (1), p.9

2022

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A Novel Spatial–Temporal Analysis Approach to Pedestrian Groups Detection

Procedia computer science, 2022, Vol.207, p.2364-2373

2022

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An agent-based model for plausible wayfinding in pedestrian simulation

Engineering applications of artificial intelligence, 2020-01, Vol.87, p.103241, Article 103241

2020

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A Hybrid Agent Architecture for Enabling Tactical Level Decisions in Floor Field Approaches

Transportation research procedia (Online), 2014, Vol.2, p.618-623

2014

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On the integration of symbolic and sub-symbolic techniques for XAI: A survey

Intelligenza artificiale, 2020-01, Vol.14 (1), p.7-32

2020

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Modelling negative interactions among pedestrians in high density situations

Transportation research. Part C, Emerging technologies, 2014-03, Vol.40, p.251-270

2014

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GUEST EDITORIAL: BEST OF "AGENT BASED MODELLING AND SIMULATION 2010" (ABModSim-3)

Cybernetics and systems, 2011-09, Vol.42 (7), p.481-483

2011

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Observation results on pedestrian-vehicle interactions at non-signalized intersections towards simulation

Transportation research. Part F, Traffic psychology and behaviour, 2018-11, Vol.59, p.269-285

2018

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Epistemological Levelism and Dynamical Complex Systems: The Case of Crowd Behaviour

Information (Basel), 2013-03, Vol.4 (1), p.75-93

2013

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Analyzing crowd behavior in naturalistic conditions: Identifying sources and sinks and characterizing main flows

Neurocomputing (Amsterdam), 2016-02, Vol.177, p.543-563

2016

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Visual Analytics for Sustainable Mobility: Usability Evaluation and Knowledge Acquisition for Mobility-as-a-Service (MaaS) Data Exploration

Digital, 2024-09, Vol.4 (4), p.821-845

2024

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How to achieve fair and efficient cooperative vehicle routing?

Ai communications, 2024-01, Vol.37 (2), p.223-245

2024

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A machine learning pipeline for extracting decision-support features from traffic scenes1

Ai communications, 2024-04, Vol.37 (2), p.189-201

2024

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Agents in Traffic and Transportation (ATT 2022): Revised and Extended Papers

Ai communications, 2024-01, Vol.37 (2), p.185-187

2024

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Social groups in pedestrian crowds as physical and cognitive entities: Extent of modeling and motion prediction

Transportation research. Part A, Policy and practice, 2023-10, Vol.176, p.103820, Article 103820

2023

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Shape matters: Modelling, calibrating and validating pedestrian movement considering groups

Simulation modelling practice and theory, 2018-09, Vol.87, p.73-91

2018

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Studying Pedestrian and Crowd Dynamics through Integrated Analysis and Synthesis

IEEE intelligent systems, 2013-09, Vol.28 (5), p.56-60

2013

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Multi-agent reinforcement learning for safe lane changes by connected and autonomous vehicles: A survey

Ai communications, 2024-01, Vol.37 (2), p.203-222

2024

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Towards an integrated approach to crowd analysis and crowd synthesis: A case study and first results

Pedestrian Simulation with Reinforcement Learning: A Curriculum-Based Approach

AIxIA 2021 - Advances in Artificial Intelligence: 20th International Conference of the Italian Association for Artificial Intelligence, Virtual Event, December 1-3, 2021, Revised Selected Papers

Mobility analysis of the aged pedestrians by experiment and simulation

Multi-scale Simulation for Crowd Management: A Case Study in an Urban Scenario

Calibration and validation of a simulation model for predicting pedestrian fatalities at unsignalized crosswalks by means of statistical traffic data

Algorithmic Music for Therapy: Effectiveness and Perspectives

How Academics and the Public Experienced Immersive Virtual Reality for Geo-Education

A Novel Spatial–Temporal Analysis Approach to Pedestrian Groups Detection

An agent-based model for plausible wayfinding in pedestrian simulation

A Hybrid Agent Architecture for Enabling Tactical Level Decisions in Floor Field Approaches

On the integration of symbolic and sub-symbolic techniques for XAI: A survey

Modelling negative interactions among pedestrians in high density situations

GUEST EDITORIAL: BEST OF "AGENT BASED MODELLING AND SIMULATION 2010" (ABModSim-3)

Observation results on pedestrian-vehicle interactions at non-signalized intersections towards simulation

Epistemological Levelism and Dynamical Complex Systems: The Case of Crowd Behaviour

Analyzing crowd behavior in naturalistic conditions: Identifying sources and sinks and characterizing main flows

Visual Analytics for Sustainable Mobility: Usability Evaluation and Knowledge Acquisition for Mobility-as-a-Service (MaaS) Data Exploration

How to achieve fair and efficient cooperative vehicle routing?

A machine learning pipeline for extracting decision-support features from traffic scenes1

Agents in Traffic and Transportation (ATT 2022): Revised and Extended Papers

Social groups in pedestrian crowds as physical and cognitive entities: Extent of modeling and motion prediction

Shape matters: Modelling, calibrating and validating pedestrian movement considering groups

Studying Pedestrian and Crowd Dynamics through Integrated Analysis and Synthesis

Multi-agent reinforcement learning for safe lane changes by connected and autonomous vehicles: A survey

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