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Summary & Details

Calibration of Traffic Flow Simulation Towards Realistic Human Behavior

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Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20219036

Paper/Info type: Other International Conferences

Pages: 1-4(Total 4 p)

Date of publication: Sep 2021

Publisher: JSAE

Language: English

Detailed Information

Author(E)	1) Sefa Yilmaz-Niewerth, 2) Aleksandar Trifunović, 3) Bernhard Friedrich, 4) Silvia Thal, 5) Adrian Sonka, 6) Roman Henze
Affiliation(E)	1) Technische Universität Braunschweig, 2) Technische Universität Braunschweig, 3) Technische Universität Braunschweig, 4) Technische Universität Braunschweig, 5) Technische Universität Braunschweig, 6) Technische Universität Braunschweig
Abstract(E)	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.

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