Problem 5: Interstate 87 Interchange

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Presentation transcript:

Problem 5: Interstate 87 Interchange We will show how to apply the HCM procedures to study several different points within the interchange. 5a: Freeway merges and diverges 5b:Route 146 weaving section 5c: Stop-controlled intersections

Characteristics of the I-87 Interchange Partial cloverleaf with 3 on-ramps and 3 off-ramps SB there is: single-lane off-ramp (direct) leading to Route 146 W single-lane off-ramp (loop ramp) leading to Route 146 E double-lane on-ramp (semi-direct) for both WB and EB traffic on Rt 146 NB there is: Double-lane off-ramp. It expands to a triple-lane ramp then becomes 4 approach lanes (2 leading WB and 2 leading EB) single lane on-ramp (loop) from Route 146 EB single lane on-ramp (direct) from Route 146 WB The I-87 interchange is labeled Intersection E in Exhibit 2-1. An aerial photograph of the facility is shown in Exhibit 2-47. The interchange is a partial cloverleaf with three on-ramps and three off-ramps. Southbound, there is a single-lane off-ramp (direct) leading to Route 146 west, a single-lane off-ramp (loop ramp) leading to Route 146 east, and a double-lane on-ramp (semi-direct) for both westbound and eastbound traffic on Route 146. About a quarter of the way along the ramp, traffic from Route 146 westbound joins traffic from Route 146 eastbound to form a two-lane ramp that reduces to a single lane ramp before merging with I-87. In the northbound direction, there is a double-lane off-ramp. It expands to a triple-lane ramp then becomes four approach lanes (two leading westbound and two leading eastbound) at Intersection F. (Exhibit 2-48 is a schematic of the intersection.) There is a single lane on-ramp (loop) from Route 146 eastbound and a single lane on-ramp (direct) from Route 146 westbound. In the picture the entrance to this latter ramp is just west of Intersection F.

Sub-problem 5a: I-87 Interchange - Merges and Diverges on the Freeway What parameter defines level-of-service at a ramp junction? The density of vehicles within the ramp influence area. Observations? Where is the ramp influence area? Merging and diverging points on the freeway are always important places to study in terms of capacity and performance. They’re also confusing spots to study because several ramp combinations must be examined (involving upstream and/or downstream ramps) to get an accurate sense of how the ramp is performing or will perform. Having entered information for the subject ramp and the upstream ramp does not mean that both have been studied. If two ramps are close to one another in a given location (here there are three), each must be examined to reach closure. You can study the upstream ramp first, entering the information about the downstream ramp as required; then study the downstream ramp, entering the information about the upstream ramp as required. In this case you need to study the middle ramp two ways, first treating it as a subject ramp with an upstream influencing ramp, then as a subject ramp with an influencing downstream ramp. The analysis result that predicts the worse ramp performance is the one to report. The level of service measure at a ramp junction is the density of vehicles within the ramp influence area. As shown in Exhibit 2-53, this is an imaginary box encompassing the ramp and the two lanes closest to the ramp. This is the area at the merge or diverge location that is most congested or most affected by the presence of the merge or diverge. Here the freeway speeds will be the slowest and the amount of turbulence the greatest. The inputs you have to provide are the freeway volume upstream of the merge, the number of lanes on the freeway, the freeway free-flow speed, the volume on the ramp, whether the ramp is on the right-hand or left-hand side, the free-flow speed on the ramp, the length of the deceleration lane (or lengths if there are two lanes), the volume on the upstream or downstream ramp (if there is one), the location of that ramp (upstream or downstream), and the volume on that ramp. You also have to indicate the peak hour factor, percent trucks and percent RV’s for all three volumes. We will look at the six ramps starting upper left and moving counter clockwise: the southbound-to-westbound off-ramp, the southbound-to-eastbound loop ramp, the southbound on-ramp, the northbound off-ramp, the eastbound-to-northbound loop ramp, then the westbound-to-northbound on-ramp. It is the downstream/upstream area within 1,500 feet of the merge/diverge point, respectively, and includes the two right-most lanes.

Single Lane Ramps southbound-to-westbound off-ramp How does this ramp perform? southbound-to-westbound off-ramp AM Existing condition: Freeway volume upstream = 3,751 vph Ramp volume = 437 vph The downstream off-ramp volume = 314 vph AM Without condition: Freeway volume upstream = 3,841 vph Ramp volume = 455 vph The downstream off-ramp volume = 326vph AM With condition: Freeway volume upstream = 3,851 vph Ramp volume = 565 vph LOS = C (all cases)

Multiple Lane Ramps Observations? How would a second lane affect ramp performance? Observations? The densities for a single lane are more than twice that of a double lane ramp!!!

Sub-problem 5b: I-87 Interchange: Route 146 Weaving Section In the HCM what are the input variables for analyzing weaving sections? Type of weave (A, B, or C) Length of the weaving section Free-flow speed Terrain The 4 weaving volumes Peak hour factor Percent trucks Percent recreational vehicles Between the southbound-to-eastbound off-ramp and the eastbound-to-northbound on-ramp there is a short weaving section. All of the traffic leaving the off-ramp heads east on Route 146, while all of the traffic for the on-ramp comes from Route 146 to the west. Weaving sections can occur on freeways and on arterials. This is one example. The HCM methodology for analyzing weaves makes provision for considering weaves on arterials. In the context of the HCM, the inputs you need to provide are: the type of weave (A, B, or C); the length of the weaving section; the free-flow speed; the terrain; and the four weaving volumes and characteristics of those volumes like the peak hour factor, the percent trucks, and the percent recreational vehicles. The LOS performance measures are the density within the weaving section (passenger cars per mile per lane) and the weaving speed. The density determines the level of service.

Performance of the Route 146 weaving section under a variety of conditions Exhibit 2-60 shows the performance of the Route 146 weaving section under a variety of conditions. The density ranges from 14.69 to 26.43 pcpmpl and the speed ranges from 41.74 to 43.95 mph. The LOS is either B or C. In the PM Peak, we move from low B to high C as we progress from PM Existing to PM Without conditions and the PM With conditions are just slightly worse.

It is necessary to use an accurate critical gap value!!! Prediction of Delays at the Terminus of the Southbound-to-Eastbound Off-ramp How realistic is it to assume a critical gap of 6.2 seconds for right-turning vehicles? These results are not consistent with field conditions, therefore the critical gap must be much shorter To study the terminus of the southbound-to-eastbound off-ramp as an unsignalized intersection, we looked at the PM With condition (Dataset 65). Exhibit 2-61 shows that we found. If we stick to the 6.2 second critical gap that’s assumed for typical right turns, we get LOS D, a delay of 31.7 seconds, and a 95th-percentile queue of 4.56 vehicles. This is inconsistent with the field conditions we observed. The critical gap used by the drivers at this location must be much shorter. We looked at what would happen if we assumed a much shorter gap, like the 4.1 seconds assumed for left turns from the major street. The delay then becomes 15 seconds and the LOS is B. There’s a need to be careful about the critical gap value being used at this location. We think 4.1 seconds is more realistic than 6.2 seconds. How realistic is it to assume a critical gap of 4.1 seconds for right-turning vehicles? These results are closer to observed field conditions It is necessary to use an accurate critical gap value!!!

Sub-problem 5: I-87 Interchange – stop-controlled intersections The ramp is busy enough that there is a constant queue during the PM peak. The ramp is at or just beyond capacity. The AM peak is also busy, but a constant queue does not form. We can model this ramp as an unsignalized intersection. It is a single lane right turn onto a four-lane arterial. Exhibit 2-62 shows the predicted performance of the ramp under the AM and PM peak hour conditions (Datasets 66-73). The ramp is heavily loaded during both time periods. We adjusted the critical gap downward from 6.2 seconds, which is the default, to 5.3 seconds, to get a PM Peak hour performance that matched the queue length observed in the field. All of the analyses (except the modified ones) were done with that value. The predicted AM peak delays range from 29.6 to 74.3 seconds and the PM peaks range from 86.4 to 243 seconds. The AM Existing and PM Existing values are consistent with delays observed in the field. The higher values in the Without and With conditions are unacceptable. One potential solution is an auxiliary lane on Route 146 running several hundred feet west from the ramp terminal. This would create a merge condition instead of a yield, and there may be adequate space to do this. Another possibility is to improve the sight distances at the end of the ramp to see if the motorists can use a shorter critical gap. We determined a 4.1 second gap would achieve tolerable operating conditions during both the AM and PM with condition. A gap that short yields delays in the PM With condition that are as good as or better than those predicted for the AM Existing and PM Existing conditions. What might be done to mitigate the LOS F predictions?

What have we learned? The interchange is adequate with the site-generated traffic, except for the SB-to-WB off-ramp and the WB left onto the SB on-ramp. In the context of the HCM procedures, we’ve seen how a variety of methods can be used to explore the performance of specific locations within the interchange, including: Merge and diverge analyses to the major ramp terminals Weaving analysis of the EB section of highway between the two loop ramps Use of the unsignalized intersection analysis methodology to assess the performance of two stop-controlled intersections What have we learned from this problem? Maybe the most important thing we’ve learned, in the context of the case study, is that the interchange is adequate with the site-generated traffic, except for the southbound-to-westbound off-ramp and the westbound left onto the southbound on-ramp. In the context of the HCM procedures, we’ve seen how a variety of methods can be used to explore the performance of specific locations within the interchange. We’ve applied merge and diverge analyses to the major ramp terminals, we’ve done a weaving analysis of the eastbound section of highway between the two loop ramps, and we’ve used the unsignalized intersection analysis methodology to assess the performance of two unsignalized junctions.