To examine (1) PHF, (2) heavy vehicles & (3) impact dilution.

3a: AM & PM Peak Hour - Existing Conditions

3b: PM Peak Hour - With Conditions

Problem 3: Shenendehowa Campus

Characteristics of Moe Road Intersection

Signalized & fully actuated

2 lanes EB (left-through & exclusive right)

2 lanes WB (left & through-right)

2 lanes NB (left & through-right)

1 lane SB (left-through-right)

The volumes to/from the north are extremely small because a church is the only building generating traffic on that approach

Arrival Patterns

Large volumes exist on the EB, WB and NB approaches Traffic leaving the Shenendehowa campus uses the NB left and right

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

What does the PHF account for?

Variations in flows that occur during the heaviest hour of traffic

When you input the hourly volumes and the peak hour factor, you will evaluate the conditions that exist during the peak 15 minutes, the time when the facility is most heavily loaded.

We will use the highly peaked flows at the entrance to the Shenendehowa campus to show how the peak hour factor works and the effects it has.

When is the AM peak hour?

LT TH RT Tot LT TH RT Tot LT TH RT Tot LT TH RT Tot

7:00 0 113 19 132 19 132 0 151 12 0 22 34 0 0 0 0 317

7:15 0 118 27 145 35 149 0 184 18 0 30 48 0 0 0 0 377

7:30 0 120 41 161 41 168 1 210 11 0 21 32 1 0 0 1 404

7:45 0 172 64 236 86 166 1 253 6 0 18 24 0 0 0 0 513

8:00 0 171 111 282 106 128 5 239 33 1 53 87 0 1 1 2 610

8:15 0 190 58 248 78 153 2 233 47 0 79 126 2 0 0 2 609

8:30 0 166 54 220 45 94 9 148 27 0 41 68 1 0 2 3 439

8:45 0 151 62 213 68 121 12 201 27 2 59 88 7 1 6 14 516

AM Peak 0 678 285 963 297 496 28 821 134 3 232 369 10 2 9 21 2,174

PHF 1 0.89 0.64 0.85 0.7 0.81 0.58 0.86 0.71 0.38 0.73 0.73 0.36 0.5 0.38 0.38 0.89

%HV 0 0.03 0.09 0.05 0.15 0.06 0.04 0.09 0.13 0 0.08 0.09 0 0 0.11 0.05 0.07

Exhibi 2-27. Shenendehowa Campus AM peak hour volumes

TimeEastbound Westbound Northbound Southbound Intersection

Total

What other observations should be made?

High variability

Doing a standard peak hour analysis we get a LOS = C

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 0.5 0.91 0.84 0.5 0.73 0.76 0.56 1 0.38 0.5 0.96

%HV 0.02 0.41 0.06 0.26 0.03 0 0.05 0 0 0 0 0 0 0 0 0.05

Exhibit 2-29. Shenendehowa Campus PM peak hour volumes

TimeEastbound Westbound Northbound Southbound

Total

When is the PM peak hour?

What other observations should be made?

- Not as much variability as the AM peak

- Less EB rights & WB lefts than in the AM peak

- Major increase in % of heavy vehicles, relative to AM peak, on some approaches

Comparison of delays & LOS for the AM & PM peaks

LT TH RT Tot LT TH RT Tot LT TH RT Tot LT TH RT Tot

Delay 12 28 40 22 25 31 19 26

LOS B C D C C C B C

v/c 0.5 - 0.6 - 0.6 - - -

Delay 7.9 26 24 16 19 21 16 20

LOS A C C B B C B C

v/c 0.2 - 0.3 - 0.5 - - -

22 AM

23 PM

Exhibit 2-30. Shenendehowa Campus AM & PM peak hour delays and levels of service

Dataset

PHF Conditions

HV Correction

Performance Measure

Eastbound Westbound Northbound SouthboundOA

Overall Yes

33.9 12

0.94 0.5

33.9 19.2

C B C B

0.79 0.09

Overall Yes

27.2 14.5 21.6 16.2

C B C B

0.92 0.72 0.62 -

What observations can be made?

- Similar LOS

- There is less delay in the PM Peak

Questions to consider:

- Are either of the conditions shown in this table likely to occur?

- Are these good representations of the conditions in either peak hour?

- Are they pessimistic? Optimistic?

How would the results change if only the peak 15 minute period was considered?

L T R Tot L T R Tot L T R Tot L T R Tot

delay 12.4 27.5 39.8 22 25 30.7 19.2 25.9

LOS B C D C C C B C

delay 21.8 39.6 58.3 32.2 35.8 47.9 25.1 38

LOS C D E C D D C D

delay 21.8 27.8 51.6 29.7 29.9 32.6 24.5 29.2

LOS C C D C C C C C

delay 12.1 24.3 48.5 26.6 - - 19.7 -

LOS B C D C - - B -

delay 10.8 18.4 28.4 16.3 19.4 19.6 17.1 17.8

LOS B B C B B B B B

delay 18 18 37.6 21.3 26.5 31.7 24.9 26.7

LOS B B D C C C C C

12.9 34 24.9

C B C C28

Internal 8:45-9:00

Yes34.9

11 19.7 17.1

C B B B27

Internal 8:30-8:45

Yes20.8

15.6 33.7 19.7

C B C B26

Internal 8:15-8:30

Yes28.1

12.2 34.3 24.5

C B C C25

Internal 8:00-8:15

Yes31.8

15.4 54.9 25.1

D B D C24

By Movement

Yes50

12 33.9 19.2

C B C B22

Base Case Overall

Yes33.9

Exhibit 2-31. Shenendehowa Campus AM peak hour delays by 15 minute interval 

Dataset

PHF Condition

HV Correction

Performance Measure

EB WB NB SBOA

How does the delay change between base case and by-movement?

The by-movement delay is highly over estimated based on the data collected for each 15 minute time period

How would the results change if only the peak 15 minute period was looked at?

L T R Tot L T R Tot L T R Tot L T R Tot

delay 12.4 27.5 39.8 22 25 30.7 19.2 25.9

LOS B C D C C C B C

delay 21.8 39.6 58.3 32.2 35.8 47.9 25.1 38

LOS C D E C D D C D

delay 21.8 27.8 51.6 29.7 29.9 32.6 24.5 29.2

LOS C C D C C C C C

delay 12.1 24.3 48.5 26.6 - - 19.7 -

LOS B C D C - - B -

delay 10.8 18.4 28.4 16.3 19.4 19.6 17.1 17.8

LOS B B C B B B B B

delay 18 18 37.6 21.3 26.5 31.7 24.9 26.7

LOS B B D C C C C C

12.9 34 24.9

C B C C28

Internal 8:45-9:00

Yes34.9

11 19.7 17.1

C B B B27

Internal 8:30-8:45

Yes20.8

15.6 33.7 19.7

C B C B26

Internal 8:15-8:30

Yes28.1

12.2 34.3 24.5

C B C C25

Internal 8:00-8:15

Yes31.8

15.4 54.9 25.1

D B D C24

By Movement

Yes50

12 33.9 19.2

C B C B22

Base Case Overall

Yes33.9

Exhibit 2-31. Shenendehowa Campus AM peak hour delays by 15 minute interval 

Dataset

PHF Condition

HV Correction

Performance Measure

EB WB NB SBOA

Is there consistency between the original peak hour analyses and each of the 15-minute interval analyses?

No, there are significant differences

Effects of Heavy Vehicles

What would happen if the heavy vehicle percentages were ignored?

L T R Tot L T R Tot L T R Tot L T R Tot

22AM

(base)Overall Yes Delay 12.4 27.5 39.8 22 25 30.7 19.2 25.9

29 AM Overall No Delay 12 24.2 36.7 20.7 22.8 26.9 19.2 23.3

23 PM Overall Yes Delay 7.9 25.5 23.9 15.6 18.7 20.5 16.2 20.3

30 PM Overall No Delay 7.6 20.9 23 14.9 19.3 21.4 16.7 18.322.2 13.8 22.5 16.7

27.2 14.5 21.6 16.2

29.4 11.6 29.3 19.2

OA

33.9 12 33.9 19.2

Exhibit 2-33. Shenendehowa Campus Effects of Heavy Vehicles

Dataset

Time Period

PHF Condition

HV Correction

Performance Measure

EB WB NB SB

The result would be a significant decrease in delay, but of course the intersection would not be accurately evaluated

Sub-problem 3b: Shenendehowa Campus PM peak - With Conditions

L T R Tot L T R Tot L T R Tot L T R Tot

Delay 7.7 24.3 25.5 15.5 20 23 17.2 20.2

95-Queue 1.5 - 3.1 - 3.9 - - -

Queue 0.7 - 1.5 - 1.9 - - -

Delay 7.2 26.9 27.3 15.6 22 26.1 18.7 21.7

95-Queue 1.5 - 3.3 - 4.2 - - -

Queue 0.7 - 1.6 - 2.1 - - -

Delay 7.1 27.5 27.8 15.6 22.7 27.2 19.2 22.2

95-Queue 1.5 - 3.4 - 4.3 - - -

Queue 0.7 - 1.6 - 2.1 - - -18.1 15 4 0.2

31.1 26.3 8 0.3

29.3 14.1 29.8 19.2

33PM 2004 With

+30%Yes 56

17.2 14.4 3.9 0.2

29.8 25.5 7.8 0.3

28.7 14.1 28.5 18.7

32 PM 2004 With Yes 55

23 7.2 0.3

14.4 12.8 3.6 0.2

OA

31PM 2004 Without

Yes 52

25.9 14.1 24.7 17.2

25.6

Exhibit 2-35. Shenendehowa Campus Growth and Sensitivity Analysis Results

Dataset

ConditionHV

CorrectCycle Length

Performance Measure

EB WB NB SB

What would the effects be at this intersection if the traffic at Maxwell Drive were increased? The sensitivity analysis

suggests the changes in overall delay are quite small

What have we learned?

We’ve seen that you have to be careful in using the peak hour factor.

It’s good to incorporate a PHF so that the conditions in the peak 15 minutes are examined. But unless you know the flows all peak simultaneously, it’s not good to use peak hour factor values that are movement specific.

We’ve also seen that it is important to pay attention to the heavy vehicle percentages.

We’ve seen that there are ways to check for impacts from site-generated traffic.