DocumentCode
3681844
Title
Large-Scale Dynamic Traffic Assignment: Practical Lessons from an Application in Sydney, Australia
Author
Melissa Duell;Nima Amini;Sai Chand;Hanna Grzybowska;Neeraj Saxena;S. Travis Waller
Author_Institution
Sch. of Civil &
fYear
2015
Firstpage
1735
Lastpage
1740
Abstract
Traditional static traffic assignment models no longer meet the strategic planning needs of most major metropolitan areas, especially in regard to evaluating major infrastructure projects. One promising possibility is dynamic traffic assignment (DTA), which has been receiving greater attention in the research community for the last ten years. This work describes the ongoing experience of building the first large-scale DTA model in Australia. We divide our experiences into categories regarding data, implementation, and visualization, and we discuss the challenges faced as well as our methods for overcoming those challenges. Finally, we discuss initial model results and the calibration process. In the future, the DTA model described here could aid in evaluating important policy decisions and infrastructural development in the context of the macro/meso-scale network operation. This project serves as a proof of concept for the Australia region and may provide valuable insight to other practitioners interested in emerging areas of transport planning and traffic modeling.
Keywords
"Data models","Calibration","Computational modeling","Vehicles","Vehicle dynamics","Australia","Data visualization"
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on
ISSN
2153-0009
Electronic_ISBN
2153-0017
Type
conf
DOI
10.1109/ITSC.2015.282
Filename
7313374
Link To Document