Third, a closed-loop model that describes HRU-HRU/AV interactions will be developed and used to predict which explicit gestures HRUs need to receive from AVs. Second, we will create two unique facilities (linked simulators and a test track setup with synchronized data logging) to determine the effectiveness of implicit anthropomorphic and implicit mechanistic gestures in staged HRU-HRU/AV encounters. The effectiveness of the gestures will be assessed regarding whether HRUs are willing and able to use the AVs’ gestures, and in terms of safety and efficiency of the AV-HRU encounters.įirst, we will perform naturalistic on-road studies and large online surveys to identify how HRUs apply implicit and explicit gestures, and to derive prototypical traffic scenarios where gesturing is important. We will study the largely unexplored topic of how HRUs communicate with each other, and examine whether AVs’ gestures should be human-like (anthropomorphic) or nonhuman (mechanistic), and implicit (embedded in vehicle motion) or explicit (visual/auditory signs). This research aims to devise novel AV-to-HRU communication methods. Because AVs have excellent sensor and computational abilities, the opportunity arises to develop AV-to-HRU communication that not only emulates but also surpasses the information content of HRU-to-HRU communication. In the coming decades, our roads will be populated with an unprecedented mixture of automated vehicles (AVs) and human road users (HRUs) such as pedestrians, cyclists, and manually driven cars.Ī bottleneck is that current AVs do not communicate to HRUs, making AV-HRU encounters inefficient and potentially accident-prone as compared to HRUs who fluently move in traffic through mutual communication of their states and intentions.
#Microsoft silverlight driver
We combine engineering domains such as simulator hardware, traffic flow theory, control theory, and mathematical driver modelling with psychological domains such as human action and perception, cognitive modelling, vigilance, distraction, psychophysiology, and mode/situation awareness, to optimally address the interdisciplinary domain of human factors. HFauto bridges the gap between engineers and psychologists through a multidisciplinary research and training programme. What are the effects of HAD on accident risk and transport efficiency? How can the automation understand the driver’s state and intentions?
#Microsoft silverlight manual
How should human-machine-interfaces (HMI) be designed to support transitions between automated and manual control? However, before automated driving can be safely deployed on public roads we have to deal with imminent human factors questions, such as: Highly automated driving (HAD) has the potential to resolve these problems and major car makers foresee that HAD will be technically ready for commercialisation within one decade from now. Road transport is an essential part of society but the burden of traffic crashes, congestion, and poll ution is enormous. Again no help.To generate knowledge on Human Factors of automated driving towards safer road transportation. I've also set the NotifyOnly key to True to stop remediation. I've also downloaded a batch file that uninstalls Silverlight, removes its Installer\Products key, and deletes the Program Files x86 folder, again it didn't help. I've gone through the tips in these two threads and no success came: Is the problem here), and reinstalled it using the "/skipprereq:silverlight.exe" parameter, to no avail. I've uninstalled the SCCM client (though I'm not sure SCCM
We have no Silverlight deployments at all in SCCM so I'm even less sure why it keeps reinstalling on some servers. True to MicroShaft form, there is no detectable pattern to this.įor example, on our CA pair, it stays off of one but keeps reinstalling on the other. But on a few dozen it keeps reinstalling. On most servers it uninstalls and stays uninstalled. We decided to remove Silverlight from servers that don't need it.
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