Problem 3 shenendehowa campus
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Problem 3: Shenendehowa Campus. To examine (1) PHF, (2) heavy vehicles & (3) impact dilution. 3a: AM & PM Peak Hour - Existing Conditions 3b: PM Peak Hour - With Conditions. Characteristics of Moe Road Intersection Signalized & fully actuated 2 lanes EB (left-through & exclusive right)

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Problem 3: Shenendehowa Campus

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Problem 3 shenendehowa campus

Problem 3: Shenendehowa Campus

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)


Problem 3 shenendehowa campus

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

  • Traffic leaving the Shenendehowa campus uses the NB left and right

Arrival Patterns

  • Large volumes exist on the EB, WB and NB approaches


Sub problem 3a shenendehowa campus am pm peak existing conditions

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

What does the PHF account for?

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.

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.


Problem 3 shenendehowa campus

When is the AM peak hour?

What other observations should be made?

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

High variability


Problem 3 shenendehowa campus

What other observations should be made?

When is the PM peak hour?

- 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

Comparison of delays & LOS for the AM & PM peaks

What observations can be made?

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?

- Similar LOS

- There is less delay in the PM Peak


Problem 3 shenendehowa campus

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

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


Problem 3 shenendehowa campus

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

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

Effects of Heavy Vehicles

What would happen if the heavy vehicle percentages were ignored?

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

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

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

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.


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