Simulation framework for pedestrian dynamics: modelling and calibration

Liberto, Carlo; Nigro, Marialisa; Carrese, Stefano; Mannini, Livia; Valenti, Gaetano; Zarelli, Cristiano

doi:10.1049/iet-its.2019.0677

Cited by 8 publications

(4 citation statements)

References 25 publications

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“…Liberto et al ( 18 ) proposed an agent-based simulation model that was calibrated from real-world laboratory experiments carried out with students. The model was calibrated to reproduce macroscopic properties of the flow, relying on three adjustment parameters and a genetic algorithm optimization technique.…”

Section: Vandv Of Pedestrian Simulation In the Literaturementioning

confidence: 99%

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Assuring Quality of Pedestrian Behavior Results Derived From Simulation Models Applied to Airport Terminals

Vieira

Silva

Alves

et al. 2022

Transportation Research Record: Journal of the Transportation R

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Computer simulation is an important tool nowadays in the design and assessment of airport terminals and other transport hubs, reducing costs, speeding up decision-making, and bringing new perspectives on scenarios targeted on either legacy or disruptive technologies. Concepts such as agent-based modelling, floor field cellular automata and social force models support a range of software technologies available in easy-to-use packages, allowing complex pedestrian behavior to be modelled in a variety of situations. On the other hand, old challenges concerning model verification and validation can potentially hamper the benefits associated with pedestrian microsimulation, leading to untrustworthy results depicted through appealing screen animations. This research aims to deliver a systematization of verification and validation procedures in pedestrian simulation models applied to the airport terminal. Acknowledging that this research is not exhaustive, categories of tests are proposed, along with measures for their assessment. Regarding pedestrian traffic diagrams, solutions for data treatment are proposed and tested, including a novel approach to the delineation of the steady-state regime. The proposed methods were tested with experimental data and agent-based modelling simulation data, demonstrating the feasibility of the procedures, along with certain cautions on their usage.

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Section: Vandv Of Pedestrian Simulation In the Literaturementioning

confidence: 99%

“…The studies (11,12,(15)(16)(17)(18)(19) focus on the enhancement of simulation methods and algorithms, using laboratory experiments with volunteers. The studies (13,14) use actual pedestrian data, assessing a previously developed simulation model.…”

Section: Vandv Of Pedestrian Simulation In the Literaturementioning

confidence: 99%

Assuring Quality of Pedestrian Behavior Results Derived From Simulation Models Applied to Airport Terminals

Vieira

Silva

Alves

et al. 2022

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

show abstract

“…Third, with advancements in computer technology, simulation models prevail as an efficient way to address the limitations of experiments. The movement of pedestrians can be represented using the governing equations of fluids (in macroscopic models [13,14]), the evolution of probability distribution (in mesoscopic models [15]), or the motion of limited-intelligent agents (in microscopic models [16,17]). Among the microscopic models that focus on individual interactions, the cellular automata (CA) model [18,19] and the social force model (SFM) [20] occupy prominent positions.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of pedestrian evacuation from narrow seated area considering exit failure: experimental and simulation results

Hu,

Chen,

Wang

et al. 2024

J. Stat. Mech.

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Narrow seated spaces with multiple exits are prevalent structures in public buildings, underscoring the paramount importance of facilitating swift evacuation in such constrained environments. In this study, we first conducted evacuation experiments in a realistic narrow seated area. By manipulating different availability conditions for two exits located at the ends of the long aisle, we studied the effects of unpredictable exit failures, specifically, how the exit switch and explicit guidance influence the evacuation process. The movement characteristics are explored in several aspects, such as pre-evacuation time, aisle conflicts, speed, distance headway, evacuation time, and time lapse. We found that once people have encountered the exit failure condition, they would demonstrate enhanced preparedness in subsequent trials, leading to expedited exit switches. With explicit guidance, people would be less hesitant and move faster in the main aisle. The fine-grid cellular automata model is extended based on the experimental observations to verify its feasibility in simulating this process. Conflict resolution and turning behavior are incorporated for a more nuanced description. The effects of the exit switch are parameterized through the informed probability and the speed reduction.

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“…Targeting objects inside an image and classifying them based on a list of available classes is at the bottom of several applications, such as instance segmentation [2], image captioning [3], and object tracking [4]. The latter has recently received a great interest in the context of crowd dynamics [5][6][7], and it is the focus of the present work, in which the recognition of pedestrians is performed by means of video recording.…”

Section: Introductionmentioning

confidence: 99%

Pedestrian Flows Characterization and Estimation with Computer Vision Techniques

et al. 2023

Self Cite

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This work describes a straightforward implementation of detecting and tracking pedestrian walking across a public square using computer vision. The methodology consists of the use of the well-known YOLOv3 algorithm over videos recorded during different days of the week. The chosen location was the Piazza Duca d’Aosta in the city of Milan, Italy, in front of the main Centrale railway station, an access point for the subway. Several analyses have been carried out to investigate macroscopic parameters of pedestrian dynamics such as densities, speeds, and main directions followed by pedestrians, as well as testing strengths and weaknesses of computer-vision algorithms for pedestrian detection. The developed system was able to represent spatial densities and speeds of pedestrians along temporal profiles. Considering the whole observation period, the mean value of the Voronoi density was about 0.035 person/m2 with a standard deviation of about 0.014 person/m2. On the other hand, two main speed clusters were identified during morning/evening hours. The largest number of pedestrians with an average speed of about 0.77 m/s was observed along the exit direction of the subway entrances during both morning and evening hours. The second relevant group of pedestrians was observed walking in the opposite direction with an average speed of about 0.65 m/s. The analyses generated initial insights into the future development of a decision-support system to help with the management and control of pedestrian dynamics.

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Simulation framework for pedestrian dynamics: modelling and calibration

Cited by 8 publications

References 25 publications

Assuring Quality of Pedestrian Behavior Results Derived From Simulation Models Applied to Airport Terminals

Assuring Quality of Pedestrian Behavior Results Derived From Simulation Models Applied to Airport Terminals

Characteristics of pedestrian evacuation from narrow seated area considering exit failure: experimental and simulation results

Pedestrian Flows Characterization and Estimation with Computer Vision Techniques

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