Analysis of Pedestrian Flow Characteristics in Tao Poon MRT Station Walkway from Closed-circuit Television (CCTV) Cameras

Authors

  • เสถียร แก้วคำ ภาควิชาวิศวกรรมโยธา คณะวิศวกรรมศาสตร์ มหาวิทยาลัยเชียงใหม่
  • Songyot Kitthamkesorn Department of Civil Engineering Faculty of Engineering Chiang Mai University

Keywords:

Bangkok Mass Rapid Transit, pedestrian traffic flow theory, Computer vision

Abstract

This research aims to find pedestrian characteristics and calibration macroscopic pedestrian traffic flow parameter. To provide basic information for design of walkway facilities in the railway station. Collecting data by recording video with CCTV and developing computer vision software to help extract data from video to calibrate the parameters using the basic variable correlation model, the flow theory of various pedestrian traffic flows. In case of study the relationship between the basic variables of the pedestrian traffic flow, the parameters were calibrated with the data in study area and found average walking speed at 1.50 m/s and Underwood's model has the best tendency and accuracy that are consistent with context of study area, the relationship between velocity and densityhas R2 = 0.944 and has the relationship equation as follow: Velocity and Density:v=1.9 e=- k/0.36 , Flow Rate and Velocity: q=1.9 ke=- k/0.36 , Rate and Density:. This research found level of service of walkway in this study hasA level follow by standard of HCM 2010

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Published

2022-09-19

How to Cite

[1]
แก้วคำ เ. and S. Kitthamkesorn, “ Analysis of Pedestrian Flow Characteristics in Tao Poon MRT Station Walkway from Closed-circuit Television (CCTV) Cameras”, ncce27, vol. 27, pp. TRL23–1, Sep. 2022.

Issue

Section

Intelligent Transportation, Traffic and Logistics Engineering