Game Theory-Based Traffic Modeling for Calibration of Automated Driving Algorithms
Game Theory-Based Traffic Modeling for Calibration of Automated Driving Algorithms
- New search for: Li, Nan
- New search for: Zhang, Mengxuan
- New search for: Yildiz, Yildiray
- New search for: Kolmanovsky, Ilya
- New search for: Girard, Anouck
- New search for: Li, Nan
- New search for: Zhang, Mengxuan
- New search for: Yildiz, Yildiray
- New search for: Kolmanovsky, Ilya
- New search for: Girard, Anouck
Abstract Automated driving functions need to be validated and calibrated so that a self-driving car can operate safely and efficiently in a traffic environment where interactions between it and other traffic participants constantly occur. In this paper, we describe a traffic simulator capable of representing vehicle interactions in traffic developed based on a game-theoretic traffic model. We demonstrate its functionality for parameter optimization in automated driving algorithms by designing a rule-based highway driving algorithm and calibrating the parameters using the traffic simulator.
Document information
Game Theory-Based Traffic Modeling for Calibration of Automated Driving Algorithms
2018-06-28
18 pages
Article/Chapter (Book)
Electronic Resource
English
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