Fuzzy logic control for shared-autonomy in automotive swarm environment

• Published in: 2007 IEEE International Conference on Systems, Man and Cybernetics pp. 196 - 201
• Main Authors: Sengstacken, A.J., DeLaurentis, D.A., Akbarzadeh-T, M.-R.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-10-2007
• Subjects: Automotive engineering; Fuzzy logic; Humans; Intelligent sensors; Intelligent vehicles; Machine intelligence; Road vehicles; Transportation; Vehicle driving; Vehicle safety
• ISBN: 142440990X; 9781424409907
• ISSN: 1062-922X; 2577-1655
• DOI: 10.1109/ICSMC.2007.4414094

The need for greater capacity in automotive transportation (in the midst of constrained resources) and the convergence of key technologies from multiple domains may eventually produce the emergence of a "swarm" concept of operations. The swarm, a collection of vehicles traveling at high speeds and in close proximity, will require management techniques to ensure safe, efficient, and reliable vehicle interactions. We propose a shared-autonomy approach in which the strengths of both human drivers and machines are employed in concert for this management. Inspired by prior research, a fuzzy logic-based control implementation is developed and described in this paper for the purpose of exploring the shared-autonomy concept.