Simulation of pedestrian flow based on cellular automata: A case of pedestrian crossing street at section in China

2013 ◽  
Vol 392 (13) ◽  
pp. 2847-2859 ◽  
Author(s):  
Shumin Feng ◽  
Ning Ding ◽  
Tao Chen ◽  
Hui Zhang
Keyword(s):  
Cellular Automata ◽  
Pedestrian Flow ◽  
Pedestrian Crossing

Study on bi-direction pedestrian flow using cellular automata simulation

2010 ◽  
Vol 389 (3) ◽  
pp. 527-539 ◽  
Author(s):  
Hao Yue ◽  
Hongzhi Guan ◽  
Juan Zhang ◽  
Chunfu Shao
Keyword(s):  
Cellular Automata ◽  
Pedestrian Flow

Scramble and Crosswalk Signal Timing

1998 ◽  
Vol 1636 (1) ◽  
pp. 83-87 ◽  
Author(s):  
Mark R. Virkler
Keyword(s):  
Field Study ◽  
High Volume ◽  
Signalized Intersections ◽  
Signal Timing ◽  
Pedestrian Flow ◽  
Crossing Time ◽  
Time Required ◽  
Pedestrian Crossing

A variety of methods have been developed for determining appropriate pedestrian crossing times at signalized intersections. Although many of these methods have useful applications, all have significant shortcomings when estimating the crossing time required under high-volume conditions and with two-way flow within a crosswalk. Existing methods are described. A field study conducted to address these shortcomings is then described. The results of the study are used to develop relationships to describe pedestrian flow at signalized crossings. Recommendations are then made to improve the signal timing parameters used for higher-volume pedestrian flows.

scholarly journals Potential field cellular automata model for pedestrian flow

2012 ◽  
Vol 85 (2) ◽  
Author(s):  
Peng Zhang ◽  
Xiao-Xia Jian ◽  
S. C. Wong ◽  
Keechoo Choi
Keyword(s):  
Cellular Automata ◽  
Potential Field ◽  
Pedestrian Flow ◽  
Cellular Automata Model

Potential field cellular automata model for overcrowded pedestrian flow

2020 ◽  
Vol 16 (3) ◽  
pp. 749-775 ◽  
Author(s):  
Peng Zhang ◽  
Xiao-Yang Li ◽  
Hua-Yu Deng ◽  
Zhi-Yang Lin ◽  
Xiao-Ning Zhang ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Potential Field ◽  
Pedestrian Flow ◽  
Cellular Automata Model

A STUDY ON THE EVACUATION OF PEOPLE IN A HALL USING THE CELLULAR AUTOMATON MODEL

2007 ◽  
Vol 18 (03) ◽  
pp. 359-367 ◽  
Author(s):  
ROUHANG CHEN ◽  
BING QIU ◽  
CHAOYING ZHANG ◽  
LINGJIANG KONG ◽  
MUREN LIU
Keyword(s):  
Cellular Automata ◽  
Lattice Gas ◽  
Spatial Configuration ◽  
Transition Probability ◽  
Initial Density ◽  
Lattice Gas Model ◽  
Escape Time ◽  
Pedestrian Flow ◽  
Cellular Automata Model ◽  
Random Walkers

We have modified the transition probability calculations in the lattice gas model of biased-random walkers. Adopting the collision-avoided rules, a new cellular automata model of pedestrian flow which updates in parallel is established. Using this model, we have simulated and studied the evacuation process of people in a hall. The spatial configuration of people is presented, which is more consistent with the scene of reality than that presented in the lattice-gas model. It is found that the escape time tc closely depends on the width of the door and the initial density of people, it scales as tc ∝ W-0.55±0.01 and tc ∝ ρ0.98±0.01 ≈ ρ.

Game theory modeling for vehicle–pedestrian interactions and simulation based on cellular automata

2019 ◽  
Vol 30 (04) ◽  
pp. 1950025 ◽  
Author(s):  
WenJing Wu ◽  
RunChao Chen ◽  
Hongfei Jia ◽  
Yongxing Li ◽  
ZhiKang Liang
Keyword(s):  
Game Theory ◽  
Traffic Flow ◽  
Arrival Rate ◽  
Video Data ◽  
Game Model ◽  
Pedestrian Flow ◽  
Hybrid Strategy ◽  
Traffic Performance ◽  
Traffic Conflicts ◽  
Pedestrian Crossing

In order to study the effect of crossing pedestrians on traffic performance at crosswalk without signal control, the work develops a game theory-based description of pedestrian–vehicle interactions, considering the decision-making uncertainty. The hybrid strategy of the game is obtained. The relevant parameters of the game model are calibrated by collected video data. The cellular automaton simulation system composed of a two-way four-lane traffic flow and pedestrian flow is constructed with the game model imbedded for identifying the effect of crossing pedestrians on traffic performance. The influencing factors are identified with their correlation analyzed by numerical simulation of different traffic conditions. According to the simulation results, the arrival rate of pedestrians has a great impact on traffic volume and pedestrian delay. The severity of conflicts between vehicles and pedestrians is classified and the causes are identified by analyzing the arrival rate of pedestrians and vehicles, respectively, and their relationship between one another. In addition, the threshold of traffic flow and pedestrian flow causing traffic conflicts and delay is proposed, also including the threshold of pedestrian arrival rate which will induce force crossing behaviors. The results show that the proposed model reconstructs the traits of traffic and pedestrian flow and their conflicts phenomenon at crosswalks. It provides some practical references for transportation agencies to meet pedestrians time-cost and comfort needs in crossing streets when they design pedestrian crossing facilities.

scholarly journals Exploring the Effects of Different Walking Strategies on Bi-Directional Pedestrian Flow

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Lili Lu ◽  
Gang Ren ◽  
Wei Wang ◽  
Chen Yu ◽  
Chenzi Ding
Keyword(s):  
Cellular Automata ◽  
Simulation Experiment ◽  
Critical Density ◽  
Pedestrian Flow ◽  
Average Speed ◽  
Different Characteristics

Three types of different walking behaviors (right preference, conformity, and space priority) are taken into account to model bi-directional pedestrian flow in the channel with cellular-automata formulation. The fundamental diagrams ofR-pedestrian flow,C-pedestrian flow, andS-pedestrian flow are obtained from the simulation result to analyze the effect of these behaviors on bi-direction flow. TheC-pedestrian flow has the minimum critical density andR-pedestrian flow has the highest, while theS-pedestrian flow has higher average-speed than other two types of pedestrian flow under the same density. Further, through the study of pedestrian distribution in the channel and the proportion of pedestrians not able to move to the front cell, reasons leading to different characteristics of these three types of pedestrian flow are analyzed. Moreover, the simulation experiment based on BehaviorSearch is designed to explore the optimal percentages ofR-pedestrian,C-pedestrian, andS-pedestrian in pedestrian flow. The result of the experiment shows that the condition that makes the highest average speed of pedestrian flow is not that pedestrian flow consists of purely one type of pedestrians, but pedestrian flow mixed withS-pedestrians as majority andC-pedestrians andR-pedestrians as minority.

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