Sub-problem 3a - Page 7 of 7 |
ID# C203A07 |
Sub-problem 3a: Shenendehowa Campus AM & PM peak - Existing Conditions
Heavy
Vehicles
What
would happen if the heavy vehicle percentages were ignored? Let’s
compare the results from the base case AM and PM peak
hour analyses with results if the correction factors were
left out. For complete input data for each of
these analyses click
here.
Exhibit 2-33 demonstrates
the differences in delay that will be obtained by neglecting the percent heavy
vehicle correction. In both the AM and PM conditions, the delays are smaller when the
correction factors are omitted. The differences in the AM peak are
slightly larger than they are during the PM peak. This is due to the
slightly higher volumes that occur during the AM peak.
Exhibit 2-33. Shenendehowa Campus Effects of Heavy Vehicles |
Dataset |
Time Period |
HV Correction |
EB |
WB |
NB |
SB |
OA |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
22 |
AM (base) |
Yes |
33.9 |
12.4 |
27.5 |
39.8 |
12.0 |
22.0 |
25.0 |
33.9 |
30.7 |
19.2 |
19.2 |
25.9 |
29 |
AM |
No |
29.4 |
12.0 |
24.2 |
36.7 |
11.6 |
20.7 |
22.8 |
29.3 |
26.9 |
19.2 |
19.2 |
23.3 |
23 |
PM |
Yes |
27.2 |
7.9 |
25.5 |
23.9 |
14.5 |
15.6 |
18.7 |
21.6 |
20.5 |
16.2 |
16.2 |
20.3 |
30 |
PM |
No |
22.2 |
7.6 |
20.9 |
23.0 |
13.8 |
14.9 |
19.3 |
22.5 |
21.4 |
16.7 |
16.7 |
18.3 |
Discussion:
A
sensitivity analysis was not conducted. It might be useful to see how much
the performance predictions change if the percentage of trucks grows. Then
you could understand how important it is to have an accurate estimate for the
analysis and the sensitivity to variations that occur in normal traffic.
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Sub-problem 3b