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A Foresighted Driver Model derived from Integral Expected Risk

Eggert, Julian ; Müller, Fabian (2021)
A Foresighted Driver Model derived from Integral Expected Risk.
2019 IEEE Intelligent Transportation Systems Conference (ITSC). Auckland, New Zealand (27.-30.10.2019)
doi: 10.26083/tuprints-00019147
Conference or Workshop Item, Secondary publication, Postprint

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Item Type: Conference or Workshop Item
Type of entry: Secondary publication
Title: A Foresighted Driver Model derived from Integral Expected Risk
Language: English
Date: 2021
Place of Publication: Darmstadt
Year of primary publication: 2019
Publisher: IEEE
Book Title: ITSC 2019 Conference Proceedings
Collation: 8 ungezählte Seiten
Event Title: 2019 IEEE Intelligent Transportation Systems Conference (ITSC)
Event Location: Auckland, New Zealand
Event Dates: 27.-30.10.2019
DOI: 10.26083/tuprints-00019147
Corresponding Links:
Origin: Secondary publication service

Current efforts in Advanced Driver Assistant Systems and Autonomous Driving research target at making the vehicles more intelligent, in terms of understanding what is going on and selecting the most appropriate behaviors. A crucial element of this research is the prediction of the evolution of the current driving situation with microscopic driver models. In this paper we present a microscopic driver model with a gradient-like, simple behavior generation that is fully and concisely derived from mathematical risk theory. Following this model, drivers act by estimating the expected, integral future risks and benefits and by seeking the best instantaneous tradeoff between these quantities, choosing the immediate action that reduces the hypothetical risks in the most efficient way. We show how this model is able to incorporate different risk types and situation parameters, allowing an extension and generalization to variable scenarios.

Status: Postprint
URN: urn:nbn:de:tuda-tuprints-191477
Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Robotics (from 01.08.2022 renamed Control Methods and Intelligent Systems)
Date Deposited: 14 Jul 2021 12:11
Last Modified: 09 Dec 2022 11:06
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/19147
PPN: 483252875
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