Open AccessCalibration Method for Microscopic Simulation Model of Urban Expressway Using Internet Traffic Operation Data
Author(s) -
Bo Wang,
Jingang Gu
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/688/2/022047
Subject(s) - latin hypercube sampling , vissim , calibration , traffic simulation , process (computing) , computer science , set (abstract data type) , sensitivity (control systems) , the internet , sampling (signal processing) , data set , hypercube , simulation , monte carlo method , engineering , microsimulation , mathematics , statistics , transport engineering , artificial intelligence , electronic engineering , filter (signal processing) , parallel computing , world wide web , computer vision , programming language , operating system
To develop a calibration method for microscopic simulation model of urban expressway using internet traffic operation data, a practical calibration process is proposed in this study. In this process, a sensitivity analysis was conducted to detect those parameters that impose the most influence on simulation model. Then the Latin Hypercube Sampling Method is used to generate workable amount of parameter sets for simulation run. The parameter set that produces the least discrepancy between the simulation model and the actual condition would be the calibrated parameter values. To demonstrate the feasibility of the proposed method, an example of the Inner Loop Expressway network in Wuxi City is modelled and calibrated using VISSIM. After calibration, the simulation model can accurately represent real-world condition.