Characteristics and Initial Density Distribution in Traffic Flow Wave Equation

Click For Summary

Discussion Overview

The discussion revolves around the characteristics and initial density distribution in the context of a traffic flow wave equation. Participants explore the mathematical formulation of the governing equation, the derivation of density variations, and the implications for visualizing these relationships in a space-time diagram.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant presents the governing equation of motion for traffic flow and seeks to derive the variation of the initial density distribution.
  • Another participant suggests that the density can be expressed as $\rho = t\beta_0 + \rho(x_0,0)$ and discusses the implications of this expression.
  • Concerns are raised about treating $\rho$ as a constant during integration, with a suggestion to substitute for $\rho$ before integrating.
  • Further clarification is sought regarding the term $\frac{2\beta_0 u_{\text{max}} t}{\rho_{\text{max}}}$ in the context of the equation for $x$.
  • Participants discuss the use of Mathematica for sketching a space-time diagram, with one expressing unfamiliarity with the software.
  • There is a suggestion that the graph of the relationship between $x$ and $t$ would be parabolic, contingent on specific values for the constants involved.

Areas of Agreement / Disagreement

Participants express differing views on the integration approach and the treatment of variables, indicating that multiple competing perspectives remain unresolved. There is also uncertainty regarding the specific values needed for graphing the equations.

Contextual Notes

Limitations include the dependency on specific values for constants in the equations, which affects the ability to graph the relationships accurately. The discussion also highlights unresolved mathematical steps in the derivation process.

Dustinsfl
Messages
2,217
Reaction score
5
Suppose that along a stretch of highway the net flow of cars entering (per unit length) can be taken as a constant $\beta_0$.
The governing equation of motion is then
$$
\frac{\partial\rho}{\partial t} + c(\rho)\frac{\partial\rho}{\partial x} = \beta_0
$$
where
$$
c(\rho) = u_{\text{max}}\left(1 - \frac{2\rho}{\rho_{\text{max}}}\right).
$$
Show that the variation of the initial density distribution is given by
$$
\rho = \beta_0t + \rho(x_0,0)
$$
along a characteristic emanating from $x = x_0$ described by
$$
x = x_0 + u_{\text{max}}\left(1 - \frac{2\rho(x_0,0)}{\rho_{\text{max}}}\right)t - \beta_0\frac{u_{\text{max}}}{\rho_{\text{max}}}t.
$$

What I have done so far is:
$\frac{dt}{dr} = 1\Rightarrow t = r + c$ but when $t = 0$, we have $t = r$.

$\frac{dx}{dr} = c(\rho)\Rightarrow x = tu_{\text{max}}\left(1-\frac{2\rho}{\rho_{\text{max}}}\right)+c$ but when $t=0$, we have
$$
x = tu_{\text{max}}\left(1-\frac{2\rho}{\rho_{\text{max}}}\right) + x_0.
$$

$\frac{d\rho}{dr} = \beta_0\Rightarrow \rho = t\beta_0 + c$

How do I get to
$$
\rho(x,t) = t\beta_0 +\rho(x_0,0)
$$
and their characteristic?
 
Physics news on Phys.org
Hi dwsmith, :)

dwsmith said:
$\frac{d\rho}{dr} = \beta_0\Rightarrow \rho = t\beta_0 + c$

How do I get to
$$
\rho(x,t) = t\beta_0 +\rho(x_0,0)
$$
and their characteristic?

\[\rho = t\beta_0 + c\]

When, \(t=0\) we have, \(\rho(x=x_{0},t=0)=\rho(x_{0},0)\). Therefore,

\[\rho=t\beta_{0}+\rho(x_{0},0)\]

dwsmith said:
$\frac{dx}{dr} = c(\rho)\Rightarrow x = tu_{\text{max}}\left(1-\frac{2\rho}{\rho_{\text{max}}}\right)+c$ but when $t=0$, we have
$$
x = tu_{\text{max}}\left(1-\frac{2\rho}{\rho_{\text{max}}}\right) + x_0.
$$

This is incorrect. Note that \(\rho\) depends on \(t\) but you have considered it as a constant when integrating. The correct method is to substitute for \(\rho\) first so as to obtain,

\[\frac{dx}{dr}=\frac{dx}{dt}=c(\rho)=u_{\text{max}}\left(1 - \frac{2\rho}{\rho_{\text{max}}}\right)\]

\[\Rightarrow \frac{dx}{dt}=u_{\text{max}}\left(1 - \frac{2\rho(x_{0},0)}{\rho_{\text{max}}}\right)-\frac{2\beta_{0}u_{\text{max}}t}{\rho_{\text{max}}}\]

Integration gives,

\[x=x_{0}+u_{\text{max}}\left(1 - \frac{2\rho(x_{0},0)}{\rho_{\text{max}}}\right)t-\frac{\beta_{0}u_{\text{max}}t^{\color{red}2}}{ \rho_{\text{max}}}\]

Kind Regards,
Sudharaka.
 
Sudharaka said:
\[\Rightarrow \frac{dx}{dt}=u_{\text{max}}\left(1 - \frac{2\rho(x_{0},0)}{\rho_{\text{max}}}\right)-\frac{2\beta_{0}u_{\text{max}}t}{\rho_{\text{max}}}\]

Where did this piece come from?

$$\frac{2\beta_{0}u_{\text{max}}t}{\rho_{\text{max}}}$$
 
dwsmith said:
Where did this piece come from?

$$\frac{2\beta_{0}u_{\text{max}}t}{\rho_{\text{max}}}$$

Substitute \(\rho=t\beta_{0}+\rho(x_{0},0)\) for \(\rho\) in \(\frac{dx}{dt}=c(\rho)=u_{\text{max}} \left(1 - \frac{2\rho}{\rho_{\text{max}}}\right)\)
 
Sudharaka said:
Substitute \(\rho=t\beta_{0}+\rho(x_{0},0)\) for \(\rho\) in \(\frac{dx}{dt}=c(\rho)=u_{\text{max}} \left(1 - \frac{2\rho}{\rho_{\text{max}}}\right)\)

How can I use Mathematica to sketch the space time diagram?
 
dwsmith said:
How can I use Mathematica to sketch the space time diagram?

I have never used Mathematica so I won't be able to answer your question. By space-time diagram do you mean the graph between \(x\) and \(t\) ?
 
Sudharaka said:
I have never used Mathematica so I won't be able to answer your question. By space-time diagram do you mean the graph between \(x\) and \(t\) ?

Yes
 
dwsmith said:
Yes

In that case it is a parabola. But do you have any specific values for the constants, \(x_{0},\,u_{\text{max}},\,\rho(x_{0},0),\,\rho_{ \text{max}}\mbox{ and }\beta_{0}\) ?
 
Sudharaka said:
In that case it is a parabola. But do you have any specific values for the constants, \(x_{0},\,u_{\text{max}},\,\rho(x_{0},0),\,\rho_{ \text{max}}\mbox{ and }\beta_{0}\) ?
No.
 
  • #10
dwsmith said:
No.

Then it seems problematic as to how you would graph this equation in any mathematical software. What you can only say is that the graph between \(x\) and \(t\) is parabolic.
 

Similar threads

  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 3 ·
Replies
3
Views
4K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 5 ·
Replies
5
Views
4K
Replies
1
Views
1K
  • · Replies 12 ·
Replies
12
Views
2K
Replies
8
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 5 ·
Replies
5
Views
735
  • · Replies 17 ·
Replies
17
Views
3K