Analysis on the Fidelity of Pedestrian Simulation Models

2011 ◽  
Author(s):  
Xiao-xiong Weng ◽  
Sheng-fu Li
Keyword(s):  
Simulation Models ◽  
Pedestrian Simulation

scholarly journals Investigating pedestrians’ obstacle avoidance behaviour

2020 ◽  
Vol 5 ◽  
Author(s):  
Abdullah Alhawsawi ◽  
Majid Sarvi ◽  
Milad Haghani ◽  
Abbas Rajabifard
Keyword(s):  
Physical Environment ◽  
Simulation Models ◽  
Avoidance Behaviour ◽  
Movement Direction ◽  
Total Speed ◽  
Lateral Direction ◽  
Video Recordings ◽  
High Speeds ◽  
The Impact ◽  
Pedestrian Simulation

Modelling and simulating pedestrian motions are standard ways to investigate crowd dynamics aimed to enhance pedestrians’ safety. Movement of people is affected by interactions with one another and with the physical environment that it may be a worthy line of research. This paper studies the impact of speed on how pedestrians respond to the obstacles (i.e. Obstacles avoidance behaviour). A field experiment was performed in which a group of people were instructed to perform some obstacles avoidance tasks at two levels of normal and high speeds. Trajectories of the participants are extracted from the video recordings for the subsequent intentions:(i) to seek out the impact of total speed, x and yaxis (ii) to observe the impact of the speed on the movement direction, x-axis, (iii) to find out the impact of speed on the lateral direction, y-axis. The results of the experiments could be used to enhance the current pedestrian simulation models.

Simulation of Pedestrians and Motorised Traffic

2014 ◽  
Vol 6 (1) ◽  
pp. 57-73 ◽  
Author(s):  
E. Papadimitriou ◽  
J.M. Auberlet ◽  
G. Yannis ◽  
S. Lassarre
Keyword(s):  
Urban Areas ◽  
Probabilistic Models ◽  
Simulation Models ◽  
Future Research ◽  
Valuable Insight ◽  
Macroscopic Models ◽  
Road Users ◽  
Agent Simulation ◽  
Key Issues ◽  
Pedestrian Simulation

The objective of this paper is the analysis of the state of the art in pedestrian simulation models and the identification of key issues for further research, with particular focus on the modelling of pedestrians and motorised traffic. A review and a comparative assessment of pedestrian simulation models are carried out, including macroscopic models, earlier meso- and miscosimulation models (mostly in Cellular Automata) and more recent Multi-Agent simulation models. The reviewed models cover a broad range of research topics: pedestrian flow and level of service, crowd dynamics and evacuations, route choice etc. However, pedestrian movement in urban areas and the interactions between pedestrians and vehicles have received notably less attention. A number of challenges to be addressed in future research are outlined: first, the need to and account for the hierarchical behavioural model of road users (strategic / tactical / operational behaviour); second, the need for appropriate description and parameterization of vehicle and pedestrian networks and their crossing points; third, the need to exploit in the simulation models the results of statistical and probabilistic models, which offer valuable insight in the determinants of pedestrian behaviour. In each case, recent studies towards addressing these challenges are outlined.

Systematic Review of Pedestrian Simulation Models with a Focus on Emergency Situations

2017 ◽  
Vol 2604 (1) ◽  
pp. 111-119 ◽  
Author(s):  
George Kouskoulis ◽  
Constantinos Antoniou
Keyword(s):  
Modeling And Simulation ◽  
State Of The Art ◽  
Simulation Models ◽  
Simulation Research ◽  
Pedestrian Movement ◽  
Emergency Situations ◽  
Pedestrian Modeling ◽  
Pedestrian Simulation ◽  
Modeling Emergency ◽  
New Framework

The literature on pedestrian modeling and simulation models is surveyed, with an emphasis on emergency situations. The state of the art is organized and presented from this perspective. Strong points and gaps in the literature are identified. The parameters that are relevant in modeling pedestrian movement are organized in a new framework and analyzed. Specific properties and characteristics of modeling emergency situations are considered, and applications of available data collection options are surveyed. This work can support researchers and practitioners interested in conducting pedestrian modeling and simulation research and applications, both general and targeted to emergency situations.

scholarly journals Simulation of Pedestrians and Motorised Traffic

2016 ◽  
pp. 1646-1662
Author(s):  
Eleonora Papadimitriou ◽  
J.M. Auberlet ◽  
George Yannis ◽  
S. Lassarre
Keyword(s):  
Urban Areas ◽  
Probabilistic Models ◽  
Simulation Models ◽  
Future Research ◽  
Valuable Insight ◽  
Macroscopic Models ◽  
Agent Simulation ◽  
Key Issues ◽  
Multi Agent ◽  
Pedestrian Simulation

The objective of this paper is the analysis of the state of the art in pedestrian simulation models and the identification of key issues for further research, with particular focus on the modelling of pedestrians and motorised traffic. A review and a comparative assessment of pedestrian simulation models are carried out, including macroscopic models, earlier meso- and miscosimulation models (mostly in Cellular Automata) and more recent Multi-Agent simulation models. The reviewed models cover a broad range of research topics: pedestrian flow and level of service, crowd dynamics and evacuations, route choice etc. However, pedestrian movement in urban areas and the interactions between pedestrians and vehicles have received notably less attention. A number of challenges to be addressed in future research are outlined: first, the need to and account for the hierarchical behavioural model of road users (strategic / tactical / operational behaviour); second, the need for appropriate description and parameterization of vehicle and pedestrian networks and their crossing points; third, the need to exploit in the simulation models the results of statistical and probabilistic models, which offer valuable insight in the determinants of pedestrian behaviour. In each case, recent studies towards addressing these challenges are outlined.

scholarly journals A Method for Joint Estimation of Homogeneous Model Parameters and Heterogeneous Desired Speeds

2020 ◽  
Vol 5 ◽  
Author(s):  
Fredrik Johansson
Keyword(s):  
Optimization Problem ◽  
Homogeneous Model ◽  
Heuristic Method ◽  
Large Data ◽  
Simulation Models ◽  
Joint Estimation ◽  
Model Parameters ◽  
Trajectory Data ◽  
Speed Distribution ◽  
Pedestrian Simulation

One of the main strengths of microscopic pedestrian simulation models is the ability to explicitly represent the heterogeneity of the pedestrian population. Most pedestrian populations are heterogeneous with respect to the desired speed, and the outputs of microscopic models are naturally sensitive to the desired speed; it has a direct effect on the flow and travel time, thus strongly affecting results that are of interest when applying pedestrian simulation models in practice. An inaccurate desired speed distribution will in most cases lead to inaccurate simulation results. In this paper we propose a method to estimate the desired speed distribution by treating the desired speeds as model parameters to be adjusted in the calibration together with other model parameters. This leads to an optimization problem that is computationally costly to solve for large data sets. We propose a heuristic method to solve this optimization problem by decomposing the original problem in simpler parts that are solved separately. We demonstrate the method on trajectory data from Stockholm central station and analyze the results to conclude that the method is able to produce a plausible desired speed distribution under slightly congested conditions.

Simulation research on pedestrian counter flow subconscious behavior

2017 ◽  
Vol 28 (02) ◽  
pp. 1750025 ◽  
Author(s):  
Yongxing Li ◽  
Hongfei Jia ◽  
Ya-Nan Zhou ◽  
Lili Yang
Keyword(s):  
Simulation Model ◽  
Lattice Gas ◽  
Simulation Models ◽  
Flow Ratio ◽  
Pedestrian Flow ◽  
Counter Flow ◽  
Simulation Research ◽  
Behavior Simulation ◽  
Walking Environment ◽  
Pedestrian Simulation

Analyzing the pedestrian subconscious behavior and walking environment in the passage, right-moving preference subconscious strength and overtaking subconscious strength are introduced into the pedestrian simulation model which is based on lattice gas model. Two pedestrian subconscious behavior simulation models, which are distinguished by whether considering pedestrian flow ratio of two directions or not, are established respectively. With the platform of MATLAB software, the simulations of pedestrian counter flow subconscious behavior are realized. The simulations indicate that compared with the pedestrian subconscious behavior simulation model without considering the pedestrian flow ratio of two directions, the model that considers the pedestrian flow ratio of two directions is better in simulating the pedestrian subconscious behavior.

scholarly journals Compression of Pedestrian Crowd in Corner Turning Subject experiment-based analysis of walking trajectories

2020 ◽  
Vol 5 ◽  
Author(s):  
Mineko Imanishi ◽  
Tomonori Sano
Keyword(s):  
Simulation Models ◽  
General Purpose ◽  
Computer Image Analysis ◽  
Crowd Density ◽  
Partition Walls ◽  
Lane Position ◽  
Subject Experiment ◽  
Corner Turning ◽  
Pedestrian Simulation ◽  
Pedestrian Crowd

In this study, pedestrian crowd dynamics at corner turns were investigated by analyzing pedestrian trajectories in a subject experiment for building more reliable, general-purpose, pedestrian simulation models. An experiment under laboratory conditions was conducted wherein a pedestrian crowd walked straight for a short distance before turning into a right-angled corner built with partition walls; the opposite sides were unwalled. Trials were performed with different widths and densities of initial participant positions. Finally, the trajectories of the pedestrians were extracted from a video through computer image analysis. The results demonstrated that pedestrian behavior at corner turns depends on lane position, lane distance (from the wall), and crowd density.

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