"autonomous traffic" is a correct and usable term in written English.
It is used to refer to a form of road transportation that is regulated by automated computer systems and sensors, in which vehicles do not always require inputs from a human driver. For example, "With the rapid advancements in technology, many countries are transitioning to autonomous traffic on roads for safety and efficiency."
The conducted experiment shows that the algorithm is able to guarantee repeatability under autonomous traffic flow.
This paper presents an algorithm that achieves the transition from autonomous traffic to a predefined start condition for a play.
Still, the former achieves agent coordination based on a traditional centralized mechanism, while in the latter coordination emerges upon the lateral interaction of autonomous traffic management agents.
The experiment also showed that the subjects drove faster in the presence of controlled everyday life traffic normally used in the VTI driving simulator than in autonomous traffic.
The aim is to achieve the same initial play conditions for each subject, which can be problematic since the traffic situation around the subject will be dependent upon each subject's actions while driving in autonomous traffic.
By reviewing and analyzing literature, we found that VCC is a technologically feasible and economically viable technological shifting paradigm for converging intelligent vehicular networks towards autonomous traffic, vehicle control and perception systems.
Here we have described the construction and faithful expression of a novel trafficking reporter protein, specifically designed for the detection and characterization of autonomous trafficking motifs.
Parameterized heuristics offers an elegant and powerful theoretical framework for design and analysis of autonomous adaptive traffic management agents in communication networks.
Autonomous protein trafficking is one of the major regulatory mechanisms for signal transduction in eukaryotic cells.
This size selection is mediated by MP which has evolved to usurp the non-cell autonomous RNA trafficking pathway through plasmodesmata.
Among the chief obstacles to driverless cars, it is predicted, will be bullying by drivers who refuse to let autonomous vehicles into traffic or who repeatedly cut in, knowing that the machines will timidly give way.
