Traffic Flow Reconstruction Using Two-Stage Optimization Based on Microscopic and Macroscopic Features

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dc.contributor.authorHuang, Jung-Haoen_US
dc.contributor.authorLai, Bo-Yunen_US
dc.contributor.authorWong, Sai-Keungen_US
dc.contributor.authorLin, Wen-Chiehen_US
dc.contributor.editorChristie, Marcen_US
dc.contributor.editorHan, Ping-Hsuanen_US
dc.contributor.editorLin, Shih-Syunen_US
dc.contributor.editorPietroni, Nicoen_US
dc.contributor.editorSchneider, Teseoen_US
dc.contributor.editorTsai, Hsin-Rueyen_US
dc.contributor.editorWang, Yu-Shuenen_US
dc.contributor.editorZhang, Eugeneen_US
dc.date.accessioned2025-10-07T06:02:40Z
dc.date.available2025-10-07T06:02:40Z
dc.date.issued2025
dc.description.abstractThis paper presents a two-stage optimization method for traffic reconstruction that considers both microscopic and macroscopic features. The method employs a microscopic driving model and uses the average speeds in the lanes as a macroscopic metric to reconstruct traffic that balances the characteristics of traffic flow and vehicle behaviors. Our results on the NGSIM dataset, conducted primarily on straight road segments, demonstrate that the proposed method effectively balances the preservation of microscopic-level details with the simulation of macroscopic traffic flows. Both stages of our method outperform previous work in their respective domains. Furthermore, animated results rendered in the CARLA simulator highlight the realism of the generated driving behaviors, underscoring the model's ability to accurately reproduce various scenarios observed in real-world traffic. By recovering physical simulation parameters from real data, our framework can be utilized to generate diverse, realistic traffic flows, supporting applications such as traffic animation, data augmentation, system testing, and traffic behavior analysis.en_US
dc.description.sectionheadersVehicle Dynamics and Interactions
dc.description.seriesinformationPacific Graphics Conference Papers, Posters, and Demos
dc.identifier.doi10.2312/pg.20251262
dc.identifier.isbn978-3-03868-295-0
dc.identifier.pages11 pages
dc.identifier.urihttps://doi.org/10.2312/pg.20251262
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/pg20251262
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies → Procedural animation; Interactive simulation
dc.subjectComputing methodologies → Procedural animation
dc.subjectInteractive simulation
dc.titleTraffic Flow Reconstruction Using Two-Stage Optimization Based on Microscopic and Macroscopic Featuresen_US
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