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Optimization Scheme of Large Passenger Flow in Huoying Station, Line 13 of Beijing Subway System

Jin Zhou, Haochen Wang, Di Sun, Siqiang Xu, Meng Lv, Feifei Yu
2020 Computers Materials & Continua  
is lowered; passengers could move freely in the hall and no new congestion points would form.  ...  The authors adopt Queuing theory and Anylogic simulation software to simulate the original and the optimized schemes of Huoying Station to distribute the passenger flow.  ...  Different countries have different strategies to alleviate the mass passenger flow of the subway system, with the operation mode, signal system, etc., as the principal manifestation [Cheng (2019) ].  ... 
doi:10.32604/cmc.2020.09865 fatcat:a33tvnahezfhzivedxsq2yjkbi

Analysis of Walking-Edge Effect in Train Station Evacuation Scenarios: A Sustainable Transportation Perspective

Xie, Liang, Song, Dong
2019 Sustainability  
Obstacles can guide the movement of passengers by channelizing pedestrian flows.  ...  Due to the highly developed rail transit over the past decades, the phenomena of complex individual self-organized behaviors and mass crowd dynamics have become a great concern in the train station.  ...  According to daily traffic statistics, 800 and 200 passengers are randomly distributed in the waiting hall and lobby, with a total of 1000 people in the entire station hall.  ... 
doi:10.3390/su11247188 fatcat:sfl2tuz3q5hexhuts2tpbvufqe

Modeling and Simulation of Departure Passenger's Behavior Based on an Improved Social Force Approach: A Case Study on an Airport Terminal in China

Yaping Zhang, Jialin Li, Dexuan Kong, Xiaoqing Xing, Qian Luo, Jian Mao, Hui Yao
2021 Advances in Civil Engineering  
Simulation results show that the proposed model can simulate departure passengers' path planning behaviors at an acceptable accuracy level.  ...  Based on the theory of original social force model, video data from a departure hall of a large airport terminal in China were analyzed to summarize passengers' path planning characteristics.  ...  Discussing the reason why such simulation results appeared, we find that after passengers 1 and 2 chose channel y (m) x (m) 3 because it was close to them with not many waiting people, passengers 3 to  ... 
doi:10.1155/2021/6657017 fatcat:psw6xe2jazgopbdd65dy2j65la

A Hybrid Model for the Impact of COVID-19 Prevention Measures on the Sustainable Development of the Aviation System

Hongli Zhu, Yang Qin, Qiao Zhao, Qirui Zhao, Tushar Jain
2022 Mathematical Problems in Engineering  
Simulating passenger boarding will aid government agencies in improving airport equipment and facilities, facilitating passengers' reasonable travel plans, avoiding large-scale contact, preventing the  ...  the agent-based model and discrete event simulation.  ...  waiting hall capacity (1-B).  ... 
doi:10.1155/2022/5430328 fatcat:dgpidm3sojefvnq6plqb5evk4a

An Energy-Efficient Elevator Operating System that Considers Sensor Information and Electricity Price Changes in Smart Green Buildings

Hyunkyoung Choi, Kyungwoon Cho, Hyokyung Bahn
2019 Journal of Modeling and Optimization  
Specifically, when the number of passengers becomes large, EOS increases the number of working elevator cars to reduce the waiting time of passengers.  ...  Smart buildings are also equipped with sensors that can collect various physical data such as temperature, motion, and light.  ...  With respect to the waiting time criterion, it is important to guarantee the tolerable latency of each passenger.  ... 
doi:10.32732/jmo.2019.11.1.1 fatcat:fctffxzsojcbhejwe5tbgrbxhe

Simulation and Optimization of Pedestrian Regular Evacuation in Comprehensive Rail Transit Hub – A Case Study in Beijing

Qiaochu Chen, Yan Bai, Nan Zheng
2020 Promet (Zagreb)  
Then, a social force-based simulation model of Beijing West Railway Station was constructed in PTV Viswalk.  ...  Furthermore, the simulation model could also be used to evaluate the effectiveness of different optimization measures as long as certain model parameters were changed beforehand.  ...  for Line 7 Up 300 s Waiting for Line 7 Up Table 6 - 6 Density distribution of pedestrian flow changing with simulation time (transfer hall) Density distribution of pedestrian flow Time Note  ... 
doi:10.7307/ptt.v32i3.3318 fatcat:jxnps5murffpzbwofj3k7q5jd4

An Approach Employing Polysemous Rules to Complement Legacy Rules for the Elevator Operation

Tsutomu INAMOTO, Chikara OHTA, Hisashi TAMAKI, Hajime MURAO
2010 Journal of Advanced Mechanical Design, Systems, and Manufacturing  
Fig. 7 Distributions of mass objective ratios of operational rules acquired for LS1, LS2, and LS3.  ...  Furthermore, polysemous rules, which are selected among those acquired by the GBML method, are successfully applied to harder problems with more elevators than those used in learning.  ...  to waiting passengers at floor 2.  ... 
doi:10.1299/jamdsm.4.651 fatcat:qytpw2jl7fgu5b2t67gtr2gqpe

Sensor and Dynamic Pricing Aware Vertical Transportation in Smart Buildings

Hyunkyoung Choi, Kyungwoon Cho, Hyokyung Bahn
2019 Complexity  
By using this information, our ECS aims at minimizing both the electricity cost and the waiting time of passengers.  ...  Experimental results with the simulator we developed show that our ECS outperforms the scheduling configuration that does not consider sensor information or electricity price changes.  ...  With respect to the waiting time criterion, it is important to guarantee the threshold of tolerable waiting time by passengers.  ... 
doi:10.1155/2019/7026810 fatcat:wom24auv5vgf3d6pbqjddbzgm4

Modeling and Simulation of Passenger Traffic in a National Airport [article]

Javier Enciso, Juan Vargas, Pablo Martínez
2016 arXiv   pre-print
Different effects of structural changes are shown and provide judging elements for decision makers regarding passenger traffic in airport design.  ...  This paper presents a pedestrian modeling study in which a national airport passenger flow was analyzed. The study was conducted at Vanguardia National Airport in Villavicencio, Meta, Colombia.  ...  ACKNOWLEDGMENT The authors would like to express their gratitude to the University of the Llanos for supporting the efforts of the research team trough the study-group Advanced Simulation Concepts (ASC  ... 
arXiv:1604.02704v1 fatcat:avkshhd77zewdnzrr3d4ewysei

Area claims of the passengers at mass public transport hubs

2013 Transport Problems  
areas in the premises of public mass transport change nodes.  ...  It is aimed especially at a structure of passengers using public transport expressing the percentage of each of the groups for which different areal demands are characteristic.  ...  , that this is not caused by a survey error, but by the fact, that this category wait for their connections in places different from those, where the survey was carried out, i.e. waiting rooms and halls  ... 
doaj:915d19a1852444bea18696b829bbb41f fatcat:unvuap4xc5aebm5j2byljs3k34

Sensitivity Analysis of a Transit Bottleneck Model

Fabien Leurent, Cyril Pivano
2019 Transportation Research Procedia  
In urban mass transit, station platforms constitute waiting areas for incoming users willing to board service vehicles.  ...  Abstract In urban mass transit, station platforms constitute waiting areas for incoming users willing to board service vehicles.  ...  Let us analyze the sensitivity of passenger stocks (eqn. 21) and of individual average wait times (eqn. 33) at stations Lyon and Halles respectively.  ... 
doi:10.1016/j.trpro.2018.12.213 fatcat:axfq2v4v5bf4lhidfx5sqf5yi4


2016 JES. Journal of Engineering Sciences  
Then, Flow-density analysis inside ticket hall of each station was carried out using micro-simulation software.  ...  The results showed that the stations accessibility does not achieve needs of passengers with disabilities.  ...  To evaluate the level of service in each hall, the flow density resulted from simulation were compared to flow density of the defined six categories (A-F) for service level in horizontal walks and waiting  ... 
doi:10.21608/jesaun.2016.117609 fatcat:hcc3tonscrgb7jpn5dv5ws63s4

Analysis on Alighting and Boarding Movement Laws in Subway Using Modified Social Force Model

Feng Chen, Yongxin Gao, Zijia Wang, Yan Liu
2020 Collective Dynamics  
This paper presents a multi-agent simulator based on social force model to simulate each passenger's boarding and alighting behavior both in a train and on a platform seamlessly.  ...  Passengers can be divided into three types: to board, alight and stay in train. They have different individual attributes and follow different walking rules.  ...  In the simulation system, personal characteristics (body size, mass, expected speed, etc.) are considered with certain random distributions.  ... 
doi:10.17815/cd.2020.64 fatcat:2lt5pviv4jbfvlftxvbu7i7vki

Concept Layout Model of Transportation Terminals

Li-ya Yao, Li-shan Sun, Wu-hong Wang, Hui Xiong
2012 Discrete Dynamics in Nature and Society  
Efficient terminals can improve operation of passenger transportation networks, adjust the layout of public transportation networks, provide a passenger guidance system, and regulate the development of  ...  Passenger demand and terminal structure were decomposed into several demand units and structural elements following the principle of reverse engineering.  ...  Passengers are divided into four types: those arriving in mass and departing in mass, arriving individually and departing in mass, arriving in mass and departing individually, and arriving individually  ... 
doi:10.1155/2012/148216 fatcat:preklp3cqffnpen4vse6mbhdoq

A Simulation Method of Personnel Evacuation Management Based on Mulit-Agent Models

Zhang Yingfei, Zhang Gongpeng, Wang Ruixin, Hu Xiaobing
2020 2020 IEEE Symposium Series on Computational Intelligence (SSCI)  
compared with those before the control measures to verify the effectiveness of the proposed system in the evacuation process.  ...  With the proposed system, we test some specific control measures for high-risk sections in a given area by analyzing evacuation time, road congestion, etc., and the data after the control measures are  ...  It's very popular in traffic simulation with a variant of the model because it can simulate a more realistic evacuation environment [17] [18] [19] [20] .  ... 
doi:10.1109/ssci47803.2020.9308274 fatcat:f5aop7ezgjfn5k3ahpecsnmgli
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