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Sub-problem 3a - Page 3 of 7

ID# C203A03

Sub-problem 3a: Shenendehowa Campus AM & PM peak - Existing Conditions

The PM peak is similar. The 15-minute counts are shown in Exhibit 2-29, and the peak hour is highlighted in yellow. Comparing the PM peak to the AM peak in Exhibit 2-27, we can see that the PM peak eastbound rights and the westbound lefts are significantly less then in the AM peak. Also, the westbound through volume is much larger. Finally, there’s a major change in the percentage of heavy vehicles. In the AM peak, the percentages were 15% for the westbound left and 9% for the eastbound right. In the PM peak, they are 26% for the westbound left and 41% for the eastbound right.

Exhibit 2-29. Shenendehowa Campus PM peak hour volumes
Time Eastbound Westbound Northbound Southbound Total
LT TH RT Tot LT TH RT Tot LT TH RT Tot LT TH RT Tot
16:00 0 193 21 214 29 183 1 213 37 1 74 112 4 0 2 6 545
16:15 0 182 18 200 27 231 0 258 25 1 52 78 1 0 0 1 537
16:30 0 208 23 231 32 196 1 229 31 0 54 85 3 0 0 3 548
16:45 0 187 13 200 24 216 0 240 31 0 35 66 1 0 1 2 508
17:00 0 209 11 220 25 221 0 246 21 1 23 48 1 0 2 3 517
17:15 0 175 25 200 12 258 7 277 29 0 25 54 0 0 3 3 534
17:30 1 210 15 226 23 224 3 250 26 0 15 41 3 1 1 5 522
17:45 0 193 15 208 28 219 2 249 18 0 19 37 7 0 0 7 501
PM Peak 770 75 845 112 826 2 940 124 2 215 341 9 0 3 12 2,138
PHF 0.93 0.82 0.91 0.88 0.89 0.50 0.91 0.84 0.50 0.73 0.76 0.56 1.00 0.38 0.50 0.96
%HV 0.02 0.41 0.06 0.26 0.03 0.00 0.05 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.05

Exhibit 2-30 compares the delays and levels of service for the AM and PM peaks. Dataset 23 contains the input data for the PM peak analysis. Overall, the delays in the PM peak are slightly smaller than the AM peak.  

Exhibit 2-30. Shenendehowa Campus AM & PM peak hour delays and levels of service
Dataset PHF Conditions HV Correction Performance Measure Eastbound Westbound Northbound Southbound OA
LT TH RT Tot LT TH RT Tot LT TH RT Tot LT TH RT Tot
22
AM		 Overall Yes Delay 33.9 12.4 27.5 39.8 12.0 22.0 25.0 33.9 30.7 19.2 19.2 25.9
LOS C B C D B C C C C B B C
v/c 0.94 0.49 - 0.64 0.50 - 0.59 0.79 - 0.09 - -
23
PM		 Overall Yes Delay 27.2 7.9 25.5 23.9 14.5 15.6 18.7 21.6 20.5 16.2 16.2 20.3
LOS C A C C B B B C C B B C
v/c 0.92 0.15 - 0.25 0.72 - 0.45 0.62 - - - -

The question we want to raise is this: do either of these conditions shown in the table above occur? Are these good representations of the conditions in either peak hour? Are they pessimistic? Optimistic? We need to look at the individual 15-minute intervals to find the answer.

We must be careful not to oversimplify this analysis, because there isn’t any real carryover in queues from one 15-minute interval to the next. If there were, we would need have to do a series of cascading analyses across sequential slices to capture the effects of queue spillover.

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