Predictive Fuzzy Markov Decision Strategy for Autonomous Driving in Highways Conference Paper

abstract

• 2018 IEEE. This paper presents a model for lane changing in highway driving. It consists of two main parts; threat assessment by assessing the interaction between traffic participants captured in terms of fuzzy logic and a decision making approach based on the concept of Markov Decision Process (MDP). The combined system forms a predictive Fuzzy Markov Decision Process (FMDP). A model predictive control (MPC) scheme for trajectory generation/control complements this decision process. Multiple driving scenarios are evaluated in a visual simulation environment to verify the potential use of the proposed method and reported in the paper.

name of conference

• 2018 IEEE Conference on Control Technology and Applications (CCTA)

authors

• Langari, Gholamreza

published proceedings

• 2018 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (CCTA)

author list (cited authors)

• Coskun, S., & Langari, R.

citation count

• 10

complete list of authors

• Coskun, Serdar||Langari, Reza

publication date

• January 2018

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

Digital Object Identifier (DOI)

• 10.1109/ccta.2018.8511369

International Standard Book Number (ISBN) 13

• 9781538676981

start page

• 1032

end page

• 1039

volume

• 00

URL

• http://dx.doi.org/10.1109/ccta.2018.8511369