Calibration of Traffic Flow Simulation Towards Realistic Human Behavior
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- 価格
- 一般価格(税込):¥1,100 会員価格(税込):¥880
- 文献番号
- 20219036
- 文献・情報種別
- その他の国際会議
- 掲載ページ
- 1-4(Total 4 p)
- 発行年月
- 2021年 9月
- 出版社
- (公社)自動車技術会
- 言語
- 英語
書誌事項
著者(英) | 1) Sefa Yilmaz-Niewerth, 2) Aleksandar Trifunović, 3) Bernhard Friedrich, 4) Silvia Thal, 5) Adrian Sonka, 6) Roman Henze |
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勤務先(英) | 1) Technische Universität Braunschweig, 2) Technische Universität Braunschweig, 3) Technische Universität Braunschweig, 4) Technische Universität Braunschweig, 5) Technische Universität Braunschweig, 6) Technische Universität Braunschweig |
抄録(英) | For the investigation of driving functions and corresponding components (e.g. sensor and camera systems), automated vehicle manufacturers and related industrial partners rely on simulations. In particular, to investigate advanced vehicle systems in urban areas, simulation setups have to be applied based on realistic traffic scenarios. The presented work outlines a methodology for adapting the longitudinal driving behavior of ambient traffic in microscopic traffic flow simulation based on real driving data. For this purpose, the optimization is performed on the simulation’s car-following model to fit the existing dataset. Accordingly, the desired driving behavior is adapted by calibrating the cumulative acceleration probability. The calibration result obtained a total error of 4.60% between simulation and real driving. After the completed calibration, the results show that the presented methodology is suitable to replicate similar acceleration probabilities for a given dataset. 翻訳 |