Hybrid Dynamic Route Planning Model for Pedestrian Microscopic Simulation at Subway Station

Gao, Yong-Xin; Chen, Feng; Wang, Zijia

doi:10.1155/2019/5207814

Cited by 3 publications

(2 citation statements)

References 46 publications

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“…Asano calculate the shortest path and obtains the desired walking direction [14]. Gao designed the LRP model to select the route [15].…”

Section: Planning Layermentioning

confidence: 99%

Three-Layers Model of Pedestrian in 2D Complex Space

Zhang

2022

J. Phys.: Conf. Ser.

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Walking is the basic way of human movement. How to model pedestrian in complex space is a challenge. Various models such as social force and cellular automaton have been proposed. These models can reproduce some macroscopic characteristics of pedestrian, but are not very effective in complex space. This paper proposes a pedestrian model framework, including mental-planning-moving three layers. The mental layer depicts the mental state of pedestrians, selects the movement mode, destination, and speed. The planning layer performs route planning and determines the sequence of temporary target points. The moving layer could embed social force model to realize physical movement. The framework can introduce incomplete information and uncertainty, which makes the pedestrian’s decision-making probabilistic, and the trajectory has a certain degree of randomness. A pedestrian simulation software has been developed, and multiple simulation experiments have been performed in a complex two-dimensional space. The results show that the model can describe the pedestrian in a complex space realistically.

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“…Asano calculate the shortest path and obtains the desired walking direction [14]. Gao designed the LRP model to select the route [15].…”

Section: Planning Layermentioning

confidence: 99%

Three-Layers Model of Pedestrian in 2D Complex Space

Zhang

2022

J. Phys.: Conf. Ser.

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“…Mesmer and Bloebaum [43] further introduced Bayesian game theory into the exit selection model. Gao et al [44] adopted the Logit method to determine the route by taking the distance factor and density factor into consideration. Liu et al [45] and Fu et al [46] also pointed out that the distance and density were two important factors to determine the selection of exit.…”

mentioning

confidence: 99%

A Fuzzy-Theory-Based Cellular Automata Model for Pedestrian Evacuation From a Multiple-Exit Room

et al. 2020

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The exit selection behavior of pedestrians plays an important part in the process of evacuation. This paper proposes a cellular automata model based on fuzzy logic method for simulating the evacuation of pedestrians from a multiple-exit room. When pedestrians select the exit, the distance and density are adopted as two important input variables in the fuzzy logic method, and the probability of selecting each exit is defined as the output variable of fuzzy logic method. The output variable of fuzzy logic, exit width and herding behavior are combined to determine the target exit. The competitiveness of each pedestrian is calculated by logit model to solve the position conflicts among pedestrians. The validation of the model is demonstrated by comparing the simulation data with the real data. The effects of attributes of pedestrians, exits and obstacles on evacuation are studied in simulations. Results show that large public facilities should control the inflows of pedestrians, and the reasonable increase of the exit quantity and exit width are effective for improving the evacuation efficiency. In the design of buildings, obstacles need to be designed reasonably, which should not be too large or too small. At the same time, obstacles should be kept at a certain distance from the exit, so as to ease the exit congestion and improve the evacuation efficiency. This paper takes the advantages of fuzzy logic method to solve the exit selection problem, which can effectively integrate the robustness with physiological-based "perception-action" behavior, the experience knowledge of pedestrians and the perception information of the surrounding environment into the decision-making process. INDEX TERMS Cellular automata model, exit selection, fuzzy logic method, logit model, pedestrian evacuation I. INTRODUCTION

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