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Vissim Pedestrian Calibration

This repository contains the python scripts of my undergraduate research study. They involve the use of the Vissim COM interface.

  • Calibration.py - script to calibrate the significant pedestrian walking behavior parameters under the adapted Social Force Model in Vissim. Calibration was done using Genetic Algorithm.
  • Validation.py - script to validate the potential calibrated parameters. Validation was done through Theil's Indicator U and Root Mean Square Percentage Error (RMSPE).
  • Analysis_GreenTiming.py - script used to establish an empirical relationship between pedestrian volume and minimum pedestrian green cycle time. Analysis was done by using the calibrated parameters in Vissim.
  • Analysis_SpeedDensity - script used to establish an empirical relationship between pedestrian density and walking speed. Analysis was done by using the calibrated parameters in Vissim.

DISCLAIMER: Data collection is not included in this repository.

Prerequisites

  1. Python 3

  2. Vissim License (Trial version does not have access to COM Interface)

Configuration

  • Python
pip install -r requirements.txt