U.S. Department of Transportation
Federal Highway Administration
1200 New Jersey Avenue, SE
Washington, DC 20590
202-366-4000
The following are equations and example computations of using relevant data to compute unknowns rather than field counting for the most common interchange configurations.
Source: Federal Highway Administration.
FIGURE K-1. TYPICAL DIAMOND INTERCHANGES
(1)
(2)
(3)
(4)
While formulas 1 and 3 require cross street data, ramps 1 and 3 can be counted and formulas 2 and 4 can be used to estimate ramps 2 and 4.
Example
A diamond interchange located on an E/W freeway has directional mainline data both upstream and downstream of the interchange. Two ramps need to be counted in order to use formulas (3) and (5). Ramps R1 and R4 were counted and the following data are now known:
M1E |
= |
25,000 |
R1 |
= |
1,200 |
M2E |
= |
23,200 |
R4 |
= |
2,350 |
M1W |
= |
31,000 |
|
|
|
M2W |
= |
30,000 |
|
|
|

Source: Federal Highway Administration.
FIGURE K-2. DIAMOND INTERCHANGE RAMP ESTIMATION PROBLEM
R2 |
= |
(M1W - M2W ) + R1 |
R2 |
= |
(31,000 - 30,000) + 1,200 |
R2 |
= |
2,200 |
R4 |
= |
(M2E - M1E ) + R3 |
2,350 |
= |
(23,200 - 25,000) + R3 |
2,350 |
= |
-1,800 + R3 |
R3 |
= |
4,150 |

Source: Federal Highway Administration.




While formulas 5 and 8 require cross street data, ramps 2 (or loop 1) and 4 can be counted and formulas 6 and 7 can be used to estimate ramps 1 and 3.
Example
A trumpet interchange located on an E/W freeway has directional mainline data both upstream and downstream of the interchange. Two ramps need to be counted in order to use formulas (9) and (10). Ramps R1 and R4 were counted and the following data are now known:
M1E |
= |
21,000 |
M2E |
= |
19,300 |
M1W |
= |
16,500 |
M2W |
= |
18,900 |
R1 |
= |
2,800 |
R4 |
= |
2,650 |

Source: Federal Highway Administration.
FIGURE K-4. TRUMPET INTERCHANGE RAMP ESTIMATION PROBLEM
R1 |
= |
(M2W - M1W ) + L1 |
2,800 |
= |
(18,900 - 16,500)+ L1 |
2,800 |
= |
2,400 + L1 |
L1 |
= |
400 |
R3 |
= |
(M1E- M2E ) + R4 |
R3 |
= |
(21,000 - 19,300) + 2,650 |
R3 |
= |
4,350 |

Source: Federal Highway Administration.
FIGURE K-5. TYPICAL CLOVERLEAF INTERCHANGE
Cloverleaf interchanges are the most complex and data intensive scenario for volume to ramp count relationships.
Formulas (9) through (12) can be used directly assuming some combination of mainline, cross street, and ramp volumes are known for a given year.
A weight factor does not need to be used for exit ramps when approaching the cross street because vehicles do not have an option of which direction to take once on a ramp.




Mainline and cross-street AADTs available with one ramp known.
{R1 , L1 , R2 , L2 }
{R3 , L3 , R4 , L4 }
For example, if R1 is already known, then count L1, R2, or L2 plus two ramps from the second group.
If only mainline AADT data are available, count three ramps from each of the following lists:
{R1 , L1 , R2 , L2 }
{R3 , L3 , R4 , L4 }
With six ramps counted, use formulas (9) and (11) to determine the volumes for the remaining ramps.
Example
A cloverleaf interchange located at an intersection of two freeways has directional mainline (E/W) data both upstream and downstream of the interchange. Two ramps need to be counted in order to use formulas (9) and (11). Ramps R1 and R4 were counted and the following data are now known:
M1E |
= |
54,000 |
M2E |
= |
51,500 |
M1W |
= |
58,500 |
M2W |
= |
59,000 |
R1 |
= |
2,500 |
L1 |
= |
2,100 |
R2 |
= |
2,800 |
R3 |
= |
2,200 |
L3 |
= |
2,450 |
R4 |
= |
2,500 |

Source: Federal Highway Administration.
R1 = (M2W - M1W ) + (L1 - L2 ) + R2
2,500 = (59,000 - 58,500) + (2,100 - L2 ) + 2,800
2,500 = 5,400- L2
L2 = 2,900
R3 = (M1E - M2E ) + (L3 - L4 ) + R4
2,200 = (54,000 - 51,500) + (2,450 - L4) + 2,500
2,200 = 7,400 - L4
L4 = 5,250