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	PHF Condition	HV Correction	Performance Measure	EB				WB				NB				SB				OA
					L	T	R	Tot	L	T	R	Tot	L	T	R	Tot	L	T	R	Tot
22	AM (base)	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
29	AM	Overall	No	Delay	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	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
30	PM	Overall	No	Delay	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.

 to Sub-problem 3b