Overcoming Data Scarcity in Calibrating SUMO Scenarios With Evolutionary Algorithms

Traffic simulations play a crucial role in urban planning and mobility management by providing insights into transportation systems. However, their effectiveness heavily depends on accurate demand calibration, often requiring large amounts of observational data. This poses a challenge in settings w...

書誌詳細
出版年:	SUMO Conference Proceedings
主要な著者:	Jakob Kappenberger, Heiner Stuckenschmidt
フォーマット:	論文
言語:	英語
出版事項:	TIB Open Publishing 2025-07-01
主題:	Microscopic traffic simulation Calibration Evolutionary Algorithm SUMO Simulation Data
オンライン･アクセス:	https://www.tib-op.org/ojs/index.php/scp/article/view/2590

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