Author
Listed:
- Zhijian Fu
(School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, P. R. China†National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, P. R. China)
- Liang Xia
(School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, P. R. China)
- Hongtai Yang
(School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, P. R. China†National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, P. R. China)
- Xiaobo Liu
(School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, P. R. China†National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, P. R. China)
- Jian Ma
(School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, P. R. China)
- Lin Luo
(#xB6;State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, P. R. China)
- Lizhong Yang
(#xB6;State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, P. R. China∥Collaborative Innovation Center for Urban Public Safety, Hefei 230026, P. R. China)
- Junmin Chen
(*Faculty of Geosciences and Environmental Engineering, State-Province Joint Engineering Laboratory of Spatial, Information Technology of High-Speed Rail Safety, Southwest Jiaotong University, Chengdu 610031, P. R. China)
Abstract
Properties of pedestrian may change along the moving path, for example, as a result of fatigue or injury, which has never been properly investigated in the past research. The paper attempts to study tactical overtaking in pedestrian flow. That is difficult to be modeled using a microscopic discrete model because of the complexity of the detailed overtaking behavior, and crossing/overlaps of pedestrian routes. Thus, a multi-velocity floor field cellular automaton model explaining the detailed psychical process of overtaking decision was proposed. Pedestrian can be either in normal state or in tactical overtaking state. Without tactical decision, pedestrians in normal state are driven by the floor field. Pedestrians make their tactical overtaking decisions by evaluating the walking environment around the overtaking route (the average velocity and density around the route, visual field of pedestrian) and obstructing conditions (the distance and velocity difference between the overtaking pedestrian and the obstructing pedestrian). The effects of tactical overtaking ratio, free velocity dispersion, and visual range on fundamental diagram, conflict density, and successful overtaking ratio were explored. Besides, the sensitivity analysis of the route factor relative intensity was performed.
Suggested Citation
Zhijian Fu & Liang Xia & Hongtai Yang & Xiaobo Liu & Jian Ma & Lin Luo & Lizhong Yang & Junmin Chen, 2017.
"Simulation study of overtaking in pedestrian flow using floor field cellular automaton model,"
International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 28(05), pages 1-17, May.
Handle:
RePEc:wsi:ijmpcx:v:28:y:2017:i:05:n:s0129183117500590
DOI: 10.1142/S0129183117500590
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Citations
Citations are extracted by the
CitEc Project, subscribe to its
RSS feed for this item.
Cited by:
- Li, Yang & Chen, Maoyin & Zheng, Xiaoping & Dou, Zhan & Cheng, Yuan, 2020.
"Relationship between behavior aggressiveness and pedestrian dynamics using behavior-based cellular automata model,"
Applied Mathematics and Computation, Elsevier, vol. 371(C).
- Fu, Libi & Liu, Yuxing & Shi, Yongqian & Zhao, Yongxiang, 2021.
"Dynamics of bidirectional pedestrian flow in a corridor including individuals with disabilities,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
- Shi, Yihan & Xu, Jie & Zhang, Hui & Jia, Limin & Qin, Yong, 2022.
"Walking model on passenger in merging passage of subway station considering overtaking behavior,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:ijmpcx:v:28:y:2017:i:05:n:s0129183117500590. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijmpc/ijmpc.shtml .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.