An Open GMNS Dataset of a Dynamic Multi-Modal Transportation Network Model of Melbourne, Australia

Fatemeh Nourmohammadi, Mohammadhadi Mansourianfar, Sajjad Shafiei, Ziyuan Gu and Meead Saberi
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Fatemeh Nourmohammadi: Department of Industrial Engineering, Khajeh Nasir University of Technology, Tehran 19991-43344, Iran
Mohammadhadi Mansourianfar: Research Center for Integrated Transport Innovation (rCITI), School of Civil and Environmental Engineering, University of New South Wales (UNSW), Sydney, NSW 2052, Australia
Sajjad Shafiei: Transport Analytics Group, DATA61, CSIRO, Sydney, NSW 2015, Australia
Ziyuan Gu: Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing 210096, China
Meead Saberi: Research Center for Integrated Transport Innovation (rCITI), School of Civil and Environmental Engineering, University of New South Wales (UNSW), Sydney, NSW 2052, Australia

Data, 2021, vol. 6, issue 2, 1-9

Abstract: Simulation-based dynamic traffic assignment models are increasingly used in urban transportation systems analysis and planning. They replicate traffic dynamics across transportation networks by capturing the complex interactions between travel demand and supply. However, their applications particularly for large-scale networks have been hindered by the challenges associated with the collection, parsing, development, and sharing of data-intensive inputs. In this paper, we develop and share an open dataset for reproduction of a dynamic multi-modal transportation network model of Melbourne, Australia. The dataset is developed consistently with the General Modeling Network Specification (GMNS), enabling software-agnostic human and machine readability. GMNS is a standard readable format for sharing routable transportation network data that is designed to be used in multimodal static and dynamic transportation operations and planning models.

Keywords: GMNS; dynamic traffic assignment model; multi-modal transportation network; Melbourne; open data (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2021
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