Deployment and Calibration of Large-Scale Mesoscopic Dynamic Traffic Assignment Model of Melbourne, Australia
Deployment of a large-scale simulation-based Dynamic Traffic Assignment (DTA) model requires a large number of demand and supply input parameters to be calibrated. In this paper, the authors report the ongoing efforts on calibration of a large-scale mesoscopic DTA model of Melbourne, Australia. The authors utilize multiple data sets consisting of big traffic data from freeway loop detectors, SCATS, and probe travel times. The authors classify and calibrate the traffic flow fundamental diagrams against empirical data from a large number of sites. For the demand-side calibration, a bi-level optimization problem is solved to estimate time-dependent origin-destination matrices, where the upper level aims to minimize the discrepancy between the estimated and observed traffic data and the lower level generates the assignment proportions matrix using the simulation-based DTA model. Calibration results of the Melbourne Central Business District (CBD) are presented. Results demonstrate a 50% reduction in root mean square error (RMSE) and a significant increase in R-squared from 0.53 to 0.92 after implementation of an iterative and data-rich calibration process.
-
Supplemental Notes:
- This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.
-
Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Shafiei, Sajjad
- Gu, Ziyuan
- Sarvi, Majid
- Saberi, Meead
-
Conference:
- Transportation Research Board 96th Annual Meeting
- Location: Washington DC, United States
- Date: 2017-1-8 to 2017-1-12
- Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; References; Tables;
- Pagination: 17p
- Monograph Title: TRB 96th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Data mining; Demand; Mathematical models; Origin and destination; Traffic assignment; Traffic flow; Travel time
- Geographic Terms: Melbourne (Australia)
- Subject Areas: Highways; Planning and Forecasting; Safety and Human Factors;
Filing Info
- Accession Number: 01632425
- Record Type: Publication
- Report/Paper Numbers: 17-04108
- Files: TRIS, TRB, ATRI
- Created Date: Apr 19 2017 3:39PM