نتایج جستجو برای: stop and go traffic

تعداد نتایج: 16853803  

2017
Rachel C. Adams Natalia S. Lawrence Frederick Verbruggen Christopher D. Chambers

Training individuals to inhibit their responses towards unhealthy foods has been shown to reduce food intake relative to a control group. Here we aimed to further explore these effects by investigating the role of stimulus devaluation, training protocol, and choice of control group. Restrained eaters received either inhibition or control training using a modified version of either the stop-sign...

2005
Demin Li Jie Zhou Jiacun Wang Hao Xu

The fluid-flow model is suitable for vehicle traffic on highways but not for pedestrian movements with frequent “stop-and-go” behavior. Considering the change of a mobile’s velocity within a short time is limited due to physical restrictions, therefore a mobile user’s future velocity is likely to be correlated with its past and current velocity. Since Gauss–Markov model captures the essence of ...

Journal: :Developmental psychology 1999
B R Williams J S Ponesse R J Schachar G D Logan R Tannock

The stop-signal procedure was used to examine the development of inhibitory control. A group of 275 participants, 6 to 81 years of age, performed a visual choice reaction time (go) task and attempted to inhibit their responses to the go task when they heard a stop signal. Reaction times to the stop and go signals were used to assess performance in inhibition and response execution, respectively...

Journal: :Optometry 2004
Gary J Williams Gregory Kitchener Leonard J Press Glen T Steele

We walk down a street, step up and down curbs, maneuver around objects and other pedestrians and adjust our pace, while visually monitoring our position. Moments later we get into our car, drive at highway speed through traffic and judge where we are relative to other vehicles while anticipating the flow of traffic. We arrive at baseball practice where we pick up a bat, walk to the plate, miss ...

Journal: :Frontiers in Human Neuroscience 2020

2018
Zlatan Ajanovic Bakir Lacevic Barys Shyrokau Michael Stolz Martin Horn

This paper presents a framework for fast and robust motion planning designed to facilitate automated driving. The framework allows for real-time computation even for horizons of several hundred meters and thus enabling automated driving in urban conditions. This is achieved through several features. Firstly, a convenient geometrical representation of both the search space and driving constraint...

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