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The simulation model was calibrated and validated using traffic characteristics such as volume, density, speeds, occupancy time, etc., and then used to predict the exposure.
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Computation of the latter requires knowledge of the ultrasonic properties, viz, density, speed and attenuation coefficients.
We also introduced a new mobility model in which the relationship between vehicle density, speed, and the follow-on distance rule is derived.
Alternatively, these sensors can be driven in combination with other ultrasonic techniques to simultaneously determine the density, speed of sound and viscosity of samples.
Crowd flow control is accomplished by shaping the walkway in plan, in order to modify the pedestrian density, speed and walking frequency.
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High variability across a relatively small space was partially described by predictor variables related to traffic (bus stop density, speed limits, traffic counts, distance to traffic lights), atmospheric chemistry (ozone, dew point), and environment (land use, trees).
Two decades of microprocessor architecture driven by quantitative 90/10 optimization has delivered an extraordinary 1000-fold inprovemicroprocessorrocessor performance, enabled by transistor scaling which improved density, speed, and energy.
The following parameters were considered for noise level modeling: small-scale topography of the area, dimensions of buildings, noise barriers, street axis, vehicle-type specific traffic density, speed limit, and type of street surface.
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