https://www.linkedin.com/pulse/flow-real-driver-autonomy-cooperation-organisations-bart-vanderhaegen
Flow does exactly that: it drives the autonomy and cooperation in teams that optimises the collective efforts to drive the shared goals home. Here is an introductionary talk about the concept of

https://www.youtube.com/watch?v=XnPy3uVc3xo
Most organizations are driven by the carrot and stick model where you get rewarded or punished. But what if this was not the only way? What if we could make

https://www.forbes.com/sites/forbesbusinesscouncil/2023/06/21/navigating-the-autonomy-paradox-and-striving-for-flow/
Embracing the Autonomy Paradox, then, is not just about survival—it's about truly living. It's about embracing the entirety of our existence and striving for that optimal state of flow where we

https://www.linkedin.com/posts/janko-kotz%C3%A9_flow-the-real-driver-of-autonomy-cooperation-activity-7151546836497969153-ctI6
First, the focus should shift from whether to grant autonomy to what kind of autonomy suits a particular context. Second, the study highlights the power of randomness in team formation.

https://www.flowresearchcollective.com/blog/role-of-flow-in-mastery
Yet, it's almost impossible to talk about mastery, momentum, and why this driver may be our "single biggest motivator" without discussing flow. This is where curiosity, passion, purpose, autonomy, and mastery come back into the story. Our five most powerful intrinsic drivers do double duty as flow triggers.

https://www.apolloadvisor.com/unlocking-flow-state-motivation-autonomy-mastery-purpose/
In our quest for productivity, fulfillment, and the ever-elusive flow state, we must remember that traditional carrot-and-stick motivators are not the sole drivers of human behavior. Daniel H. Pink's "Drive" highlights the importance of intrinsic motivators - autonomy, mastery, and purpose - in achieving our highest motivation and performance

https://dspace.mit.edu/bitstream/handle/1721.1/148679/1710.05465v4.pdf?sequence=2
Flow: A Modular Learning Framework for Mixed Autonomy Traffic The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation: Wu, Cathy, Kreidieh, Abdul Rahman, Parvate, Kanaad, Vinitsky, Eugene and Bayen, Alexandre M. 2022. "Flow: A Modular Learning Framework for Mixed Autonomy

https://maytiv.runi.ac.il/articles/flow-the-real-driver-of-autonomy-cooperation-in-organisations/
סוג הקובץ: Most organizations are driven by the carrot and stick model where you get rewarded or punished. But what if this was not the only way? What if we could make work, a better place, a happier place and a more productive one? Bart Vanderhaegen proposes 3 simple rules to achieve FLOW, a motivational […]

https://arxiv.org/pdf/1710.05465v3.pdf
Studies in isolated autonomy are often evaluated with respect to known human or expert performance for a similar task. For example, the performance of a self-driving vehicle in the isolated autonomy context is typically measured against that of a human driver [9], [10]. Similarly, expert demonstrations are

https://www.researchgate.net/publication/354110527_Flow_A_Modular_Learning_Framework_for_Mixed_Autonomy_Traffic
Flow [31] is a DRL-based framework for mixed autonomy traffic, which acts as an interface between traffic simulators (e.g., Sumo [32] and Aimsun [33]) and RL libraries. The Flow framework not only

https://ieeexplore.ieee.org/document/9489303
Abstract: The rapid development of autonomous vehicles (AVs) holds vast potential for transportation systems through improved safety, efficiency, and access to mobility. However, the progression of these impacts, as AVs are adopted, is not well understood. Numerous technical challenges arise from the goal of analyzing the partial adoption of autonomy: partial control and observation

https://www.nae.edu/19579/19582/21020/221074/221209/Influencing-Interactions-between-Human-Drivers-and-Autonomous-Vehicles
For instance, the presence of a large number of autonomous vehicles on roads can influence the state of traffic—such as congestion, delay, or flow—and hence human drivers' routing choices. We now discuss the challenges arising in mixed-autonomy traffic settings where a large number of autonomous and human-driven vehicles interact.

https://www.nature.com/articles/s41599-020-00646-0
The 'irony of autonomy' is a riff on Lisanne Bainbridge's "irony of automation ": "the automatic control system has been put in because it can do the job better than the operator, but

https://www.sciencedirect.com/science/article/pii/S0378437123010099
The real-time communication and precision computing of connected autonomous driving enable shorter response delays and increased travel speeds, minimizing the influence of human drivers' personality traits, preferences, and skills, thereby allowing for enhanced vehicle throughput [2]. To evaluate the effect of CAV on traffic efficiency

https://sciencepolicyreview.org/2020/08/a-self-driving-license-ensuring-autonomous-vehicles-deliver-on-the-promise-of-safer-roads/
Levels of Autonomy: The Society of Automotive Engineers (SAE) defines six levels of autonomy for AVs [10]: Level 0 (L0): No Automation A human performs all driving tasks at all times. Emergency braking or lane departure warnings are allowed. Level 1 (L1): Driver Assistance A driver controls the vehicle in the majority of driving tasks; the vehicle may feature a single automated systems (e.g

https://link.springer.com/article/10.1007/s13369-023-08625-8
As autonomous vehicles (AVs) and human-driven vehicles (HVs) are expected to share the road for the foreseeable future, understanding how to improve the stability of mixed-autonomy platoons is crucial. This paper introduces a novel adaptive control strategy tailored for a specific platoon configuration termed as " $$1+n+1$$ 1 + n + 1 ", consisting of a leading AV, n intervening vehicles

https://www.futurewattage.com/article/current-state-of-vehicle-autonomy
Level 3 Automation: Conditional Automation. At level 3 autonomy, the vehicle can drive without the driver's input on the key elements of driving but only under certain conditions such as limited speed, freeway conditions or self-parking. When these conditions are satisfied, the car requires no driver input and theoretically the driver doesn

https://www.tandfonline.com/doi/full/10.1080/01441647.2021.1879310
We analyse U.S. patents related to autonomous driving technology in a systematic manner through cross-citation analysis (CCA) and main path analysis (MPA). The former reveals knowledge flow among major players, while the latter uncovers the technology development trajectory and the associated players.

https://www.vidoevo.com/video/WG5QeTN1cWuRpVmMzeG8/flow-the-real-driver-of-autonomy-cooperation-in-anisations-bart-vanderhaegen-tedxulb
Flow: the real driver of autonomy & cooperation in organisations | Bart Vanderhaegen | TEDxULB Upload, share, download and embed your videos. Watch premium and official videos free online. Download Millions Of Videos Online. The latest music videos, short movies, tv shows, funny and extreme videos. Discover our featured content.

https://arxiv.org/pdf/2310.18776.pdf
A Deployment of Mixed Autonomy Traffic Control Examined. To examine the mixed autonomy traffic control deployment, we examine the control vehicle density, con-trol vehicle penetration rate in vehicle flow, vehicle volume, and looping I-24 driving routes. Vehicle density is a measure of the number of vehicles per roadway length,

https://opendrivelab.com/challenge2024/
The field of autonomy is rapidly evolving, and recent advancements from the machine learning community, such as large language models (LLM) and world models, bring great potential. ... Benchmarking sensorimotor driving policies with real data is challenging due to the limited scale of prior datasets and the misalignment between open- and closed

https://www.semanticscholar.org/paper/Leveraging-Vehicle-Connectivity-and-Autonomy-to-in-Li-Chen/6192863b2efebfeb134e5f3fba8eb5547e509713
A controller for use in a connected and autonomous vehicle (CAV) to stabilize the flow of human-driven vehicles (HDVs) that are upstream of the CAV, and consequently to lower collision risk in the upstream traffic environment and it is shown that the designed controller can significantly improve both the stability of the mixed traffic stream and the safety of both CAVs and HDVs in the stream

https://spectrum.ieee.org/autonomous-vehicles-great-at-straights
The paper, authored by two researchers at the University of Central Florida, analyzed data from 2,100 accidents involving advanced driving systems (SAE Level 4) and advanced driver-assistance

https://www.axios.com/2024/06/18/self-driving-cars-generative-ai
The advancements in artificial intelligence that brought us AI chatbots and image generators are now fueling a fresh approach to self-driving cars.. Why it matters: Autonomous vehicle (AV) development is essentially stuck — it's still too difficult and expensive to scale up the technology into a profitable business. By tapping the power of generative AI, some companies see a faster, more

http://www.wucathy.com/blog/wp-content/uploads/2019/09/wu2019flow.pdf
Studies in isolated autonomy are often evaluated with respect to known human or expert performance for a similar task. For example, the performance of a self-driving vehicle in the isolated autonomy context is typically measured against that of a human driver [9], [10]. Similarly, expert demonstrations are

https://electrek.co/2024/06/20/ceo-ford-getting-close-level-3-autonomous-driving-hands-eyes-off/
Level 3 autonomy will allow you to go hands and eyes off the road on the highway in a couple years so then your car becomes like an office. You could do a conference call and all sorts of stuff.

https://www.ohsu.edu/sites/default/files/2024-06/OCTRI_PDF_BIP_Awardees_2024.06.20.pdf
a major driver of morbidity. If PCa-mediated bone destruction could be delayed or inhibited, it would improve both the ... and is the first and only to replicate real human bone- like structure and function on a ... is currently a well-established and working prototype that is ready for testing in real-world situations where autonomy decisions

https://seekingalpha.com/article/4701496-tesla-reality-vs-hypothesis-bad-news-continues
Learn about Cathie Wood's forecast for Tesla, Inc. stock reaching $2,600 and the company's robotaxi unveil date and market performance. Click for my TSLA update.