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From the traffic flow theory [4], mean speed, flow, and density are related through is F = v λ d (4). Figure 5 shows the relationships among these parameters.
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The highway network is simulated using a first order macroscopic model called LWR model which is a mathematical traffic flow model that formulates the relationships among traffic flow characteristics in terms of density, flow, and mean speed of the traffic stream.
In macroscopic models, the aggregate behavior of traffic was described and the characteristics of traffic flow like average velocity, density, flow, and mean speed of a traffic stream were studied.
In addition, fitting curves among traffic flow, density, and space mean speed are acquired.
The method firstly converts time mean speed to space mean speed by introducing the coefficient of variation and standard error of space speed, and then, acquires traffic density through the relationship between traffic flow, density, and space mean speed in traffic flow theory.
And I mean speed!
Intensity doesn't necessarily mean speed, though.
That means speed is king.
It means speed, right?
Vf – Free speed, Vfavg – Mean free speed, Vmax = Maximum Speed, Vavg – Mean Speed, qmax – Maximum flow, qs - Specific flow, qsmax – Maximum specific flow, K – Density, Kmax – Maximum density, d – descending, a – ascending, U - Unidirectional flow, B – Bidirectional flow, C – Crossing.
The eigenfrequencies are poles of the Rayleigh conductivity, and are found to vary in proportion toU/L, whereUis mean flow speed andLis the maximum streamwise length of the aperture, but to be only weakly dependent on aperture shape.
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