A modified universal pedestrian motion model: Revisiting pedestrian simulation with bottlenecks

Jian-yu, Wang; Sarvi, Majid; Ma, Jian; Haghani, Milad; Alhawsawi, Abdullah; Chen, Juan; Lin, Ping

doi:10.1007/s12273-021-0841-4

Cited by 17 publications

(11 citation statements)

References 77 publications

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“…Current studies presenting a microscopic approach often focus rather on specific indoor applications, which, along with complex and uncertain calibration processes, limit the framework's applicability. 38,39 Other contributions in this area typically concentrate on the mechanics of pedestrian movement with specific improvements such as transmission of emotions, 40 kinematic contact, 41 bottlenecks study, 42,43 evacuation scenarios, 44 or disease spread. 45 It is often mentioned that such models are computationally expensive and overly represented in pedestrian research (e.g., Tordeux et al 19 ).…”

Section: Literature Review: Agent-based Modeling Applied In An Outdoo...mentioning

confidence: 99%

From dawn to dusk: daily fluctuations in pedestrian traffic in the city center

Wozniak

2023

SIMULATION

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Pedestrian traffic in a city is subject to fluctuations throughout the day due to a variety of factors. The understanding of these variations can be achieved using properly calibrated agent-based simulation models that capture the dynamics of pedestrian movement. However, despite their significance, such models are currently underrepresented in scientific discussions. In addition, acquiring real-world pedestrian localization data for model calibration poses challenges. To address these issues, this paper presents an agent-based model specifically designed to examine pedestrian traffic fluctuations at a mesoscale level. The model uses popular times data from the Google Places service and population data from the Geographic Information System (GIS) for accurate calibration. As a result, it effectively captures the real-world dynamics of pedestrian movement in the city center. By harnessing the advantages of agent-based modeling (ABM), the model generates several valuable insights into daily pedestrian traffic. It estimates the capacity and speed of pedestrian flows and determines the daily load within the simulated area. Moreover, it enables the identification of bottlenecks and areas characterized by varying levels of pedestrian density. The model’s validation process involves comparing its output with empirical studies and pedestrian traffic data from selected points of interest (POIs). The model successfully captures key aspects associated with fundamental diagrams of pedestrian flow. Furthermore, the dynamics of pedestrians closely align with Google Places popular times data for the chosen POIs. Overall, this research contributes to advancing pedestrian traffic management and optimizing public transport organization by employing empirically calibrated agent-based simulation models.

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Section: Literature Review: Agent-based Modeling Applied In An Outdoo...mentioning

confidence: 99%

From dawn to dusk: daily fluctuations in pedestrian traffic in the city center

Wozniak

2023

SIMULATION

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“…Occupant behavior (OB) modelling has been widely used on the building level, and it has become an important factor in the investigation of building energy consumption (Dong et al 2021;Tang et al 2021), building space and facility management (Stjelja et al 2020), as well building HVAC occupant-centric controls (Yang et al 2022). Majority of current studies have devoted to the quantification and modelling of occupant behavior within the building space (Dong et al 2018), for the purpose of understanding how many persons in the space, how people use a space and how their behavior impacts on a building's energy performance and indoor air quality, together with control of airborne infections risk nowadays (Carlucci et al 2020;Du et al 2020;Qian et al 2020;Wang et al 2022). Further research often aims to address a breadth of optimization, control and occupant-centric challenges for the operation of individual buildings (Mirakhorli and Dong 2016;Park et al 2019;Ouf et al 2021;Zhang et al 2022) interpretation and prediction, various occupant behavior modelling methods characterizing complex occupant presence, movement, activities and their determinants (Hou et al 2020) have been utilized for various applications including building energy performance analysis, building architectural and engineering design, intelligent building operations, building safety design, and real estate business, etc.…”

Section: Ob Modelling For Building-and District-scale Energy Simulationmentioning

confidence: 99%

“…Further research often aims to address a breadth of optimization, control and occupant-centric challenges for the operation of individual buildings (Mirakhorli and Dong 2016;Park et al 2019;Ouf et al 2021;Zhang et al 2022) interpretation and prediction, various occupant behavior modelling methods characterizing complex occupant presence, movement, activities and their determinants (Hou et al 2020) have been utilized for various applications including building energy performance analysis, building architectural and engineering design, intelligent building operations, building safety design, and real estate business, etc. (Dong et al 2018;Jin et al 2021;Zhou et al 2021;Wang et al 2022) This paper has summarized the previous reviews of OB modelling from the perspective of model scale, purpose of review, comparative aspects, and limitations in Table 1. Undoubtfully, recent studies have laid consolidated foundation for further extension of occupant behavior modelling from building level to larger scales, such as district, community, campus and even urban scale.…”

Section: Ob Modelling For Building-and District-scale Energy Simulationmentioning

confidence: 99%

Modelling method of inter-building movement for campus-scale occupancy simulation: A case study

Zhu

Pan

et al. 2022

Build. Simul.

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As an important factor in the investigation of building energy consumption, occupant behavior (OB) has been widely studied on the building level. However so far, studies of OB modelling on the district scale remain limited. Indeed, district-scale OB modelling has been facing the challenges from the scarcity of district-scale data, modelling methods, as well as simulation application. This study initiates the extrapolation of occupancy modelling methodology from building level to district scale through proposing modelling methods of inter-building movements. The proposed modelling methods utilize multiple distribution fittings and Bayesian network to upscale the event description methods from inter-zone movement events at the building level to inter-building movement events at the district level. This study provides a framework on the application of the proposed modelling methods for a university campus in the suburbs of Shanghai, taking advantages of data sensing, monitoring and survey techniques. With the collected campus-scale occupancy data, this paper defines five patterns of inter-building movement. One pattern represents the dominated inter-building movement events for one kind of students in their daily campus life. Based on the quantitative descriptions for various inter-building movement events, this study performs the stochastic simulation for the campus district, using Markov chain models.The simulation results are then validated with the campus-scale occupancy measurement data. Furthermore, the impact of inter-building movement modelling methods on building energy demand is evaluated for the library building, taking the deterministic occupancy schedules suggested by current building design standard as a baseline.

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“…Their experimental results demonstrate that the believed reduction of evacuation time caused by an obstacle should be revisited under highly competitive conditions. In the paper of Wang et al, 21 the SF model was calibrated with controlled human experiments with different competitiveness.…”

Section: Introductionmentioning

confidence: 99%

A fine grid cellular automaton model for pedestrian evacuation considering the effect of an obstacle

et al. 2023

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A cellular automaton (CA) model with a finer discretization of space is proposed to simulate a non-emergency evacuation process in a room with an obstacle. During the evacuation process, a triangle “evading region” phenomenon has been observed through simulation and experiment on the upstream side of the spatial obstacle. In this paper, we use a simple method to generate an obstacle floor field corresponding to the triangle. We investigate the relationship between the pedestrian trajectories and the obstacle’s position. We also study the effect of the obstacle on evacuation time and average evacuation speed. Our study provides insights into the simulation of obstacle avoidance behavior of pedestrians in simple scenarios.

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A modified universal pedestrian motion model: Revisiting pedestrian simulation with bottlenecks

Cited by 17 publications

References 77 publications

From dawn to dusk: daily fluctuations in pedestrian traffic in the city center

From dawn to dusk: daily fluctuations in pedestrian traffic in the city center

Modelling method of inter-building movement for campus-scale occupancy simulation: A case study

A fine grid cellular automaton model for pedestrian evacuation considering the effect of an obstacle

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