Skip to content
Research Article Open access CC BY 4.0

Research on Pedestrian Deceleration Behavior Based on Buffer Space

Denghui Liu, Bo Zhang

Journal of Engineering Research and Reports · pp. 31–38 · Published 26 Aug 2022

10.9734/jerr/2022/v23i317598

Abstract

Understanding the specific mechanism of pedestrian deceleration behavior can better provide data support and parameter calibration for pedestrian flow simulation. In this paper, by introducing a buffer space, designed the pedestrians walking single file experiment and field observation, has obtained the pedestrian buffer space data under different speed, speed - buffer space mathematical model is established, the results show that the pedestrian expected speed and size of the buffer space were positively correlated, pedestrian movement normally, their relation can be used on the two lower limit function, said In the running state, it can be represented by a linear function.

Pedestrian traffic deceleration mechanism behavioral decision making buffer space

References (9)

  1. 1 Dynamical model of traffic congestion and numerical simulation [DOI]
  2. 2 Properties of pedestrians walking in line: Fundamental diagrams [DOI]
  3. 3 Extraction and quantitative analysis of microscopic evacuation characteristics based on digital image processing [DOI]
  4. 4 Natural discretization of pedestrian movement in continuous space [DOI]
  5. 5 Pedestrian dynamics in single-file movement of crowd with different age compositions [DOI]
  6. 6 Spontaneous synchronization of motion in pedestrian crowds of different densities [DOI]
  7. 7 Experimental study on microscopic moving characteristics of pedestrians in built corridor based on digital image processing [DOI]
  8. 8 A continuous distance model (CDM) for the single-file pedestrian movement considering step frequency and length [DOI]
  9. 9 Single-file pedestrian flow experiments under high-density conditions [DOI]

Cited by 0

No indexed citations yet.

Article metrics

Real usage data collected on this platform.

11

Page views

0

PDF downloads

0

Outbound clicks

0

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.