Document Type
Book Chapter
Publication Date
2016
Abstract
With self-driving vehicles announced for the 2020s, today’s challenges in Intelligent Transportation Systems (ITS) lie in problems related to negotiation and decision making in (spontaneously formed) car collectives. Due to the close coupling and interconnectedness of the involved driver-vehicle entities, effects on the local level induced by cognitive capacities, behavioral patterns, and the social context of drivers, would directly cause changes on the macro scale. To illustrate, a driver’s fatigue or emotion can influence a local driver-vehicle feedback loop, which is directly translated into his or her driving style, and, in turn, can affect driving styles of all nearby drivers. These transitional, yet collective driver state and driving style changes raise global traffic phenomena like jams, collective aggressiveness, etc. To allow harmonic coexistence of autonomous and self-driven vehicles, we investigate in this chapter the effects of socially-inspired driving and discuss the potential and beneficial effects its application should have on collective traffic.
Publication Title
Human Computer Confluence Transforming Human Experience Through Symbiotic Technologies
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
Recommended Citation
Riener, A.,
Jeon, M.,
&
Ferscha, A.
(2016).
17 Human-Car confluence: “Socially-Inspired driving mechanisms”.
Human Computer Confluence Transforming Human Experience Through Symbiotic Technologies, 294-310.
http://doi.org/10.1515/9783110471137-017
Retrieved from: https://digitalcommons.mtu.edu/cls-fp/42
Version
Publisher's PDF
Publisher's Statement
Publisher's version of record: https://doi.org/10.1515/9783110471137-017