Large-Scale Dynamic Traffic Assignment: Practical Lessons from an Application in Sydney, Australia

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Contributors

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.

Details

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE 18th International Conference on Intelligent Transportation Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1735-1740
Number of pages6
ISBN (electronic)9781467365956, 9781467365956, 9781467365956, 9781467365956
Publication statusPublished - 30 Oct 2015
Peer-reviewedYes

Publication series

SeriesInternational Conference on Intelligent Transportation (ITSC)
ISSN2153-0009

Conference

Title2015 18th IEEE International Conference on Intelligent Transportation Systems
Abbreviated titleITSC 2015
Conference number18
Duration15 - 18 September 2015
CityLas Palmas de Gran Canaria
CountrySpain

External IDs

ORCID /0000-0002-2939-2090/work/141543792

Keywords

Keywords

  • Australian application, Dynamic traffic assignment, Large scale