{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T16:11:22Z","timestamp":1762272682746,"version":"build-2065373602"},"reference-count":32,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2021,2,19]],"date-time":"2021-02-19T00:00:00Z","timestamp":1613692800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/data6020021","type":"journal-article","created":{"date-parts":[[2021,2,19]],"date-time":"2021-02-19T20:54:08Z","timestamp":1613768048000},"page":"21","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["An Open GMNS Dataset of a Dynamic Multi-Modal Transportation Network Model of Melbourne, Australia"],"prefix":"10.3390","volume":"6","author":[{"given":"Fatemeh","family":"Nourmohammadi","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering, Khajeh Nasir University of Technology, Tehran 19991-43344, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammadhadi","family":"Mansourianfar","sequence":"additional","affiliation":[{"name":"Research Center for Integrated Transport Innovation (rCITI), School of Civil and Environmental Engineering, University of New South Wales (UNSW), Sydney, NSW 2052, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sajjad","family":"Shafiei","sequence":"additional","affiliation":[{"name":"Transport Analytics Group, DATA61, CSIRO, Sydney, NSW 2015, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2059-4809","authenticated-orcid":false,"given":"Ziyuan","family":"Gu","sequence":"additional","affiliation":[{"name":"Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing 210096, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6526-239X","authenticated-orcid":false,"given":"Meead","family":"Saberi","sequence":"additional","affiliation":[{"name":"Research Center for Integrated Transport Innovation (rCITI), School of Civil and Environmental Engineering, University of New South Wales (UNSW), Sydney, NSW 2052, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,2,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1287\/trsc.12.3.183","article-title":"A model and an algorithm for the dynamic traffic assignment problems","volume":"12","author":"Merchant","year":"1978","journal-title":"Transp. Sci."},{"key":"ref_2","unstructured":"Chiu, Y.C., Bottom, J., Mahut, M., Paz, A., Balakrishna, R., Waller, S., and Hicks, J. (2011). Dynamic Traffic Assignment: A Primer, Transportation Research Board. Transportation Research Circular E-C153."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1023\/A:1012827724856","article-title":"Foundations of dynamic traffic assignment: The past, the present and the future","volume":"1","author":"Peeta","year":"2001","journal-title":"Netw. Spat. Econ."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1023\/A:1012831808926","article-title":"Dynamic Network Traffic Assignment and Simulation Methodology for Advanced System Management Applications","volume":"1","author":"Mahmassani","year":"2001","journal-title":"Netw. Spat. Econ."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1016\/j.trb.2018.03.011","article-title":"Dynamic traffic assignment: A review of the methodological advances for environmentally sustainable road transportation applications","volume":"111","author":"Wang","year":"2018","journal-title":"Transp. Res. Part B Methodol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.trc.2012.02.006","article-title":"A dynamic traffic assignment model for highly congested urban networks","volume":"24","author":"Gao","year":"2012","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.trc.2007.07.002","article-title":"Dynamic micro-assignment modeling approach for integrated multimodal urban corridor management","volume":"16","author":"Zhou","year":"2008","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1381","DOI":"10.1016\/j.ejor.2006.07.054","article-title":"Application of a simulation-based dynamic traffic assignment model","volume":"189","author":"Florian","year":"2008","journal-title":"Eur. J. Oper. Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1016\/j.trc.2007.08.002","article-title":"A bi-criterion dynamic user equilibrium traffic assignment model and solution algorithm for evaluating dynamic road pricing strategies","volume":"16","author":"Lu","year":"2008","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"80","DOI":"10.3141\/2041-09","article-title":"Simulation-based framework for transportation network management in emergencies","volume":"2041","author":"Balakrishna","year":"2008","journal-title":"Transp. Res. Rec. J. Transp. Res. Board"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.trc.2014.01.002","article-title":"Development of origin\u2013destination matrices using mobile phone call data","volume":"40","author":"Iqbal","year":"2014","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"102709","DOI":"10.1016\/j.trc.2020.102709","article-title":"Estimating MFDs, trip lengths and path flow distributions in a multi-region setting using mobile phone data","volume":"118","author":"Paipuri","year":"2020","journal-title":"Transp. Res. Part C"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Croce, A.I., Musolino, G., Rindone, C., and Vitetta, A. (2019). Transport system models and big data: Zoning and graph building with traditional surveys, FCD and GIS. ISPRS Int. J. Geo-Inf., 8.","DOI":"10.3390\/ijgi8040187"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Croce, A.I., Musolino, G., Rindone, C., and Vitetta, A. (2020). Route and Path Choices of Freight Vehicles: A Case Study with Floating Car Data. Sustainability, 12.","DOI":"10.3390\/su12208557"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.trc.2014.11.006","article-title":"An enhanced SPSA algorithm for the calibration of Dynamic Traffic Assignment models","volume":"51","author":"Lu","year":"2015","journal-title":"Transp. Res. Part C: Emerg. Technol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3141\/2090-01","article-title":"Calibration of Dynamic Traffic Assignment Models with Point-to-Point Traffic Surveillance","volume":"2090","author":"Vaze","year":"2009","journal-title":"Transp. Res. Rec. J. Transp. Res. Board"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"104","DOI":"10.3182\/20090902-3-US-2007.0056","article-title":"Off\u2013line and on\u2013line calibration of Dynamic Traffic Assignment Systems","volume":"42","author":"Antoniou","year":"2009","journal-title":"IFAC Proc. Vol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"101","DOI":"10.3141\/1876-11","article-title":"Calibration and Application of a Simulation-Based Dynamic Traffic Assignment Model","volume":"1876","author":"Mahut","year":"2004","journal-title":"Transp. Res. Rec. J. Transp. Res. Board"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.simpat.2018.04.006","article-title":"Calibration and Validation of a Simulation-based Dynamic Traffic Assignment Model for a Large-Scale Congested Network","volume":"86","author":"Shafiei","year":"2018","journal-title":"Simul. Model. Pract. Theory"},{"key":"ref_20","unstructured":"Smith, S., Berg, I., and Yang, C. (2020). General Modeling Network Specification: Documentation, Software, and Data."},{"key":"ref_21","unstructured":"(2021, February 01). GitHub. Available online: https:\/\/github.com\/zephyr-data-specs\/GMNS."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"331","DOI":"10.2495\/UT130261","article-title":"Transport demand modelling in Melbourne","volume":"130","author":"Spiridonos","year":"2013","journal-title":"WIT Trans. Built Environ."},{"key":"ref_23","unstructured":"ArcGIS (2021, February 01). Choosing an Edge Snap Method. Available online: https:\/\/desktop.arcgis.com\/en\/arcmap\/10.3\/manage-data\/editing-existing-features\/choosing-an-edge-snap-method.htm."},{"key":"ref_24","unstructured":"Google Maps Platform (2021, February 01). Distance Matrix Service. Available online: https:\/\/developers.google.com\/maps\/documentation\/javascript\/distancematrix."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.trc.2017.08.012","article-title":"A big data approach for clustering and calibration of link fundamental diagrams for large-scale network simulation applications","volume":"94","author":"Gu","year":"2018","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"638","DOI":"10.1111\/mice.12444","article-title":"Surrogate-based toll optimization in a large-scale heterogeneously congested network","volume":"34","author":"Gu","year":"2019","journal-title":"Comput. Aided Civil Infrastruct. Eng."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"102894","DOI":"10.1016\/j.trc.2020.102894","article-title":"Simulation-based optimization of toll pricing in large-scale urban networks using the network fundamental diagram: A cross-comparison of methods","volume":"122","author":"Gu","year":"2021","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/j.trc.2019.10.016","article-title":"A bi-partitioning approach to congestion pattern recognition in a congested monocentric city","volume":"109","author":"Gu","year":"2019","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"972","DOI":"10.1177\/0361198120933267","article-title":"Integration of Departure Time Choice Modeling and Dynamic Origin\u2013Destination Demand Estimation in a Large-Scale Network","volume":"2674","author":"Shafiei","year":"2020","journal-title":"Transp. Res. Rec."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"72","DOI":"10.3141\/2669-08","article-title":"Sensitivity-Based Linear Approximation Method to Estimate Time-Dependent Origin\u2013Destination Demand in Congested Networks","volume":"2669","author":"Shafiei","year":"2017","journal-title":"Transp. Res. Rec."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"12654","DOI":"10.1073\/pnas.1800474115","article-title":"Macroscopic dynamics and the collapse of urban traffic","volume":"115","author":"Olmos","year":"2018","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1616","DOI":"10.1038\/s41467-020-15353-2","article-title":"A simple contagion process describes spreading of traffic jams in urban networks","volume":"11","author":"Saberi","year":"2020","journal-title":"Nat. Commun."}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/6\/2\/21\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:26:32Z","timestamp":1760160392000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/6\/2\/21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,19]]},"references-count":32,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2021,2]]}},"alternative-id":["data6020021"],"URL":"https:\/\/doi.org\/10.3390\/data6020021","relation":{},"ISSN":["2306-5729"],"issn-type":[{"type":"electronic","value":"2306-5729"}],"subject":[],"published":{"date-parts":[[2021,2,19]]}}}