Lane-design for mixed pedestrian flow in T-shaped passage

Yongxing Li, Xiaoxia Yang, Zijia Wang, Liang Chen and Yanyan Chen

Physica A: Statistical Mechanics and its Applications, 2022, vol. 589, issue C

Abstract: T-shaped passage is one of the most important facilities in urban rail transit station, and the crowded phenomena always appear during peak hours. Mixed pedestrian flow in T-shaped passage may generate some conflicts, which causes a lot of delays for passengers. For reducing conflicts and improving efficiency in T-shaped passage, we designed the walking lanes for mixed pedestrian flow with different origins (Os) and destinations (Ds), and the preference strength was proposed to perform lane-design rule. A cellular automata (CA) based pedestrian simulation model with the lane-design was built, and we simulated the mixed pedestrian flow with the effect of lane-design on the platform of MATLAB software. Simulation results indicate that pedestrian conflicts were reduced and the efficiency of passing was improved. Reasonable lane-design was useful for mixed pedestrian flow, and it could provide technical support for the planning and design of pedestrian facilities.

Keywords: T-shaped passage; Mixed pedestrian flow; Lane-design; CA (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437121008621
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:589:y:2022:i:c:s0378437121008621

DOI: 10.1016/j.physa.2021.126593

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().