Problem 4: Clifton Country Road
Problem 4 Printable Version
The intersection of
Clifton Country Road and Route 146 (Intersection
D) is the most complex, busiest, largest, and most complex in the network.
Exhibit 2-36 shows an aerial photograph of the site. (North is toward the
top.)
Exhibit 2-36. Clifton Country Road Aerial Photograph |
The main question at
this intersection will be: are geometric changes and/or adjustments in
signal timing needed to accommodate the site-generated traffic? Since a
lot of the site-generated traffic will be going to and from I-87, the
signal timings will have to change, dictated by the actuated controller. But geometric changes might be needed as
well. In the process of answering these questions, we can use this
intersection to illustrate a number of analysis issues.
|
Exhibit 2-37.
Clifton Country Road and Route 146 intersection configuration |
As you can see in
Exhibit 2-37, the intersection’s eastbound approach is five lanes wide
(left, triple through, and signalized right). The westbound approach is
also five lanes wide (double left, double through, and free right). The
southbound approach has three lanes (left, left/through, and
right/through) while the northbound approach has four (double left,
through, and free right). The eastbound left-turn bay is about 150 feet
long. The westbound left-turn
bay is about 400 feet long so it can accommodate heavy volumes coming from
I-87. On the southbound
approach, there’s space to store about 10 cars per lane to the upstream intersection with Old Route 146. On the northbound approach,
about 20 cars can be stored per lane prior to the first side road
intersection. [ Back
] [Continue ] to Base Case Condition |
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Problem 4: Clifton Country Road
As you can tell from the
overview of the network we presented in the introduction, there are large
shopping plazas both north and south of the intersection.
The road to the north ends in a shopping center parking lot while the
one to the south threads its way between the Clifton Park Center shopping
mall on the east and the Shopper’s World shopping center on the west.
About a tenth of a mile
east of the intersection is the freeway interchange with I-87. That location
will be the focal point of Problem 5.
To the west is the Maxell Drive intersection that was the focal point of
Problem 1.
Base Case Phasing and Volumes
Analysis Plans Description of Analyses
Overarching Issues
Sub-problem 4a: AM peak hour - Existing
Conditions
Sub-problem 4b:
PM peak hour - Existing Conditions
Sub-problem 4c: 2004 PM - With vs Without
Conditions
Discussion
Discussion:
This is a complicated intersection. The challenge is to be clear about how the intersection is being
represented in the analysis and be careful about interpreting the results.
Primarily, the lane configurations and lane utilization make the
analysis a challenge.
[ Back ] [Continue
] to Base Case Condition |
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Problem
4: Clifton Country Road
Base Case Phasing and Volumes
The signal control is
fully-actuated. Exhibit 2-38 shows the phasing. Phases 1-3 are for the
east-west flows. The first phase is often skipped because the eastbound
left turning volumes are small. Phases 4-5 are for the north-south
movements except that Phase 4 has a protected green for the eastbound
right.
|
Exhibit 2-38. Clifton Country Road Signal Phasing |
|
Exhibit 2-39. Clifton
Country Road Intersection Volumes for Existing AM & PM Peak Hours |
The intersecting
volumes are generally high.
Exhibit 2-39 shows the AM and PM peak hour flows for the base case. No standing
queues exist at the end of the peak hour. The largest volumes are on the
eastbound and westbound approaches. The
westbound through volume is generally the largest, as I-87 generates a lot
of traffic. The eastbound through is also quite large due to traffic
going toward I-87. The
volumes on the north and southbound approaches are relatively small in the
AM peak hour and much larger in the PM peak hour.
This is because of the shopping center-related traffic. |
to Analysis Plans |
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|
Exhibit 2-39. Clifton
Country Road Intersection Volumes for Existing AM & PM Peak Hours
|
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Problem 4: Clifton Country Road
Analysis
Plans
As we illustrate the traffic
impact assessment, we will explore a number of issues at this
intersection, as
Exhibit 2-3 indicated in the introduction. The intersection lends itself
to consideration of time periods, relationships among HCM methodologies,
consideration of times to use other tools, interpretation of results, etc.
As we found with the Moe Road analysis, lane utilization will again be
important in the context of the AM Existing
conditions. In addition, we’re going to talk
about general modeling issues such as
lane groups,
lost
time,
time periods to analyze, and chapter relationships. We'll also focus on
the AM Existing condition and look at lane utilization,
coordination, and lane grouping. For the PM
Existing condition we will examine queue spillback,
right-turns-on-red, and demand versus
volume. Finally,
we’ll look at the PM With condition and analyze
our assumptions about future conditions, geometric changes, and feedback.
to Overarching Issues
|
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Problem
4: Clifton Country Road
Overarching
Issues
Several overarching issues
relate to this intersection. There are some things to discuss before
turning to the main purpose of the case study: seeing how to mitigate the
impacts from the site-generated traffic.
The first relates to
how many time periods we should analyze. That is, what time periods should
be considered in examining the intersection’s performance? The answer is
several. Clearly, the AM and PM peak hours should be
examined. The intersection is part of a major east-west arterial, next to
a major freeway interchange. However, the Saturday shopping peak should be
examined as well. The intersection is adjacent to three major shopping
centers.
We also need to think
about whether there’s a peak hour of the generator that’s
different from all three time periods, or a peak traffic condition that
relates to this specific intersection. For example, we might want to
examine the conditions on a Friday afternoon peak hour when the shopping
volumes are heavier than they are during the rest of the week. Moreover,
we might want to do a separate analysis of the intersection for the Friday
afternoon and Saturday midday conditions during the November-December
holiday shopping season. The three adjacent shopping centers see a
significant growth in patronage during that timeframe. In fact, queues for
the westbound left turn can reach as far as the bridges under I-87. The intersection shouldn't
necessarily be designed to accommodate these relatively rare events, but
it might be appropriate to indicate
what the
performance is like during these time periods and how many
hours during the year the intersection will be in this condition.
This intersection is
somewhat difficult to analyze in an isolated fashion, and care is needed. The most
important reason is that there are queues on the southbound, northbound,
and westbound approaches that can spill back into other facilities.
We will analyze those facilities along with the Clifton
Country Road intersection to make sure that we’ve taken into account
the impacts in the results we present.
to Sub-problem 4a |
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Problem 4: Clifton Country Road
To treat the problem in this more systematic
manner, we need to do an unsignalized intersection analysis at the two-way
stop controlled intersection just to the north (visible in the
aerial
photograph). We will also do an analysis of the all-way stop controlled
intersection beyond. We will also look at the two-way stop controlled
intersection to the south. This means doing analyses based on Chapter 16 and
Chapter 17 simultaneously.
In doing this, we also
have to be careful to account for evidence of modifications to typical driver behavior. For example, when the westbound left-turn bays get
congested, drivers that want to go south turn right instead, go north to the TWSC intersection at Old Route 146,
then make a U-turn to again
be headed south. They know the southbound approach will get a green before
the next time the westbound left turn does. This action adds traffic to the Old
Route 146 intersection and lengthens the queue on the southbound approach.
This discussion
demonstrates the intersection may require other analysis methods. We may
consider using a network analysis package that can simultaneously look at
the performance of all the intersections we’ve discussed.
Discussion:
We
return to the same discussion format used initially in the case study. We
revisit the basic issues to identify the problem, how it should be
approached, how large the study network should be, and what analysis tools
need to be employed. Do you have facilities that are similar, where the
general issue decisions you made for the overall problem need to be
revisited and refined to address a more site-specific problem?
to Sub-problem 4a |
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Sub-problem 4a: Clifton Country Road AM peak
hour - Existing Conditions
The AM Existing
conditions are well suited for looking at three issues: lane utilization,
coordination, and lane group definitions. These issues have to be considered
in all the other time periods as well. We will use the AM Existing condition
to provide numerical results.
Analyses: Lane Utilization Coordination Lane Group Definitions
to
Sub-problem 4a |
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Sub-problem 4a: Clifton
Country Road AM peak hour - Existing Conditions
Lane
Utilization
Lane utilization is an important issue on
all four approaches. In the case of the
eastbound approach, the I-87
southbound on-ramp is immediately downstream of the intersection. The right-hand-most through lane
is used far more than the other two.
There’s a secondary impact for drivers wanting to turn right who can’t
get into the auxiliary right-turn lane because the long queue blocks
access. For the westbound approach, the double left has unbalanced lane
use. The innermost lane is sometimes blocked by the outer one. Traffic
tends to use the outer lane because it leads to the Shoppers World Plaza
and some convenience stores. In the case of the northbound approach, the
double left has balanced lane use. The
right-most lane leads to stores on the north side of Route 146 just west
of the intersection, but there are also drivers who want to continue west,
so both lanes see substantial use. For
the southbound approach, the lane use is
not necessarily unbalanced, but the lane use designations are complex (left, left/through,
and through/right). We will study that approach separately.
Exhibit 2-40 shows the differences between including and not including lane
utilization. The utilization values employed by movement are shown in the
bottom line of the table.
In
Dataset
32 (the base case) and
Dataset
33 (no lane utilization) the impact is
substantial for the eastbound throughs. With the lane utilization
included, that movement has a delay of 28.6 seconds per vehicle. Without
it, the delay is only 22.5 seconds per vehicle, a 27% difference.
Exhibit 2-40.
Clifton Country Road Effects of Lane Utilization |
Condition* |
Performance Measure |
Eastbound |
Westbound |
Northbound |
Southbound |
OA |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
Dataset 32 Base
Case |
Delay |
34.5 |
28.6 |
10.2 |
25.6 |
31.3 |
21.0 |
12.9 |
23.4 |
33.1 |
32.0 |
33.2 |
33.0 |
32.3 |
31.2 |
32.0 |
25.9 |
v/c |
0.03 |
0.81 |
0.24 |
- |
0.53 |
0.73 |
- |
- |
0.41 |
0.20 |
0.34 |
- |
0.40 |
0.21 |
- |
- |
95-Queue |
0.2 |
15.6 |
5.3 |
- |
6.9 |
20.0 |
- |
- |
4.4 |
2.2 |
3.2 |
- |
4.4 |
2.5 |
- |
- |
Queue |
0.1 |
8.3 |
2.6 |
- |
3.5 |
11.0 |
- |
- |
2.1 |
1.1 |
1.6 |
- |
2.2 |
1.2 |
- |
- |
Dataset 33 No
Lane Utilization |
Delay |
34.5 |
22.5 |
10.2 |
20.5 |
30.9 |
19.6 |
12.9 |
22.4 |
33.2 |
32.0 |
33.2 |
33.0 |
32.3 |
31.2 |
32.0 |
23.4 |
v/c |
0.03 |
0.57 |
0.24 |
- |
0.51 |
0.68 |
- |
- |
0.42 |
0.20 |
0.34 |
- |
0.40 |
0.21 |
- |
- |
95-Queue |
0.2 |
13.1 |
5.3 |
- |
6.9 |
19.1 |
- |
- |
4.4 |
2.2 |
3.2 |
- |
4.4 |
2.5 |
- |
- |
Queue |
0.1 |
6.8 |
2.6 |
- |
3.4 |
10.4 |
- |
- |
2.2 |
1.1 |
1.6 |
- |
2.2 |
1.2 |
- |
- |
|
Observed Lane
Utilization |
1.00 |
0.67 |
1.00 |
- |
0.91 |
0.88 |
1.00 |
- |
0.97 |
1.00 |
1.00 |
- |
1.00 |
0.95 |
- |
*Using an 82-second cycle length
during the a.m. peak hour
The
differences for the other movements aren’t as remarkable, because the lane
utilization values are closer to the defaults. The defaults are 1.0 for
single lanes and 0.95 for double lanes. In the case of the northbound left, the delay in the base case is actually
lower than in the no utilization situation because the observed lane
utilization is higher than would have been assumed by default.
to Sub-problem 4a |
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Sub-problem 4a - Clifton
Country Road AM peak hour - Existing Conditions
Coordination
Since this intersection is part of a network, we must determine whether coordination would be useful for the eastbound
approach. The westbound approach has traffic coming from both southbound
and northbound off-ramps as well as Route 146, so coordination wouldn’t be
as useful there.
Exhibit 2-41 shows that if the eastbound arrival type were to change from 3 (Dataset
32) to 5 (Dataset
34), the average delay would drop from 28.6 to 20.1 seconds per
vehicle for the eastbound throughs and from 10.2 to 2.4 seconds per
vehicle for the eastbound rights. Those are decreases of 30% and 76%
respectively. Similarly, the average queues for the through lanes would
drop from 8.3 to 7.5 vehicles and the 95th percentile queue
length would drop from 15.6 to 14.2 vehicles. If we assume the
coordination is worse than random arrivals, for example, arrival type 1 (Dataset
35), the average delays for the throughs rise from 28.6 to 37.1
seconds per vehicle (for the rights, an increase from 10.2 to 18.0
seconds per vehicle). The queue lengths increase as well.
Exhibit 2-41. Clifton Country Road Impacts of Coordination on the
Eastbound Approach |
Condition* |
Performance Measure |
Eastbound |
Westbound |
Northbound |
Southbound |
OA |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
Dataset 32 Base
Case |
Delay |
34.5 |
28.6 |
10.2 |
25.6 |
31.3 |
21.0 |
12.9 |
23.4 |
33.1 |
32.0 |
33.2 |
33.0 |
32.3 |
31.2 |
32.0 |
25.9 |
v/c ratio |
0.03 |
0.81 |
0.24 |
- |
0.5 |
0.7 |
- |
- |
0.41 |
0.20 |
0.34 |
- |
0.4 |
0.2 |
- |
- |
95-Queue |
0.2 |
15.6 |
5.3 |
- |
6.9 |
20.0 |
- |
- |
4.4 |
2.2 |
3.2 |
- |
4.4 |
2.5 |
- |
- |
Queue |
0.1 |
8.3 |
2.6 |
- |
3.5 |
11.0 |
- |
- |
2.1 |
1.1 |
1.6 |
- |
2.2 |
1.2 |
- |
- |
Dataset 34
Arrival Type 5 EB TH&RT |
Delay |
34.5 |
20.1 |
2.4 |
17.2 |
31.3 |
21.0 |
12.9 |
23.4 |
33.1 |
32.0 |
33.2 |
33.0 |
32.3 |
31.2 |
32.0 |
22.6 |
v/c ratio |
0.03 |
0.81 |
0.24 |
- |
0.5 |
0.7 |
- |
- |
0.41 |
0.20 |
0.34 |
- |
0.4 |
0.2 |
- |
- |
95-Queue |
0.2 |
14.2 |
1.7 |
- |
6.9 |
20.0 |
- |
- |
4.4 |
2.2 |
3.2 |
- |
4.4 |
2.5 |
- |
- |
Queue |
0.1 |
7.5 |
0.8 |
- |
3.5 |
11.0 |
- |
- |
2.1 |
1.1 |
1.6 |
- |
2.2 |
1.2 |
- |
- |
Dataset 35
Arrival Type 1 EB TH&RT |
Delay |
34.5 |
37.1 |
18.0 |
33.9 |
31.3 |
21.0 |
12.9 |
23.4 |
33.1 |
32.0 |
33.2 |
33.0 |
32.3 |
31.2 |
32.0 |
29.1 |
v/c ratio |
0.03 |
0.81 |
0.24 |
- |
0.5 |
0.7 |
- |
- |
0.41 |
0.2 |
0.34 |
- |
0.4 |
0.2 |
- |
- |
95-Queue |
0.2 |
16.5 |
8.1 |
- |
6.9 |
20.0 |
- |
- |
4.4 |
2.2 |
3.2 |
- |
4.4 |
2.5 |
- |
- |
Queue |
0.1 |
8.8 |
4.1 |
- |
3.5 |
11.0 |
- |
- |
2.1 |
1.1 |
1.6 |
- |
2.2 |
1.2 |
- |
- |
*Using an 82-second cycle length during the a.m. peak hour
to Sub-problem 4a |
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Sub-problem 4a: Clifton
Country Road AM peak hour - Existing Conditions
Lane Group
Definitions
In most analyses, it’s easy to correctly define the
lane groups. In the
case of Moe Road, for example, there are left-turn lanes, through lanes,
and through-and-right lanes. On the eastbound and westbound approaches, we
considered the through lane and the through-and-right lane to be a
two-lane through-and-right group. In these latter
situations, we assume that 1) the right turning vehicles are in the
right-most lane and 2) the through traffic distributes itself between the
right-most lane and the next inner lane to balance the per-lane flow
rates.
The HCM is capable of
analyzing many different lane groupings: exclusive lefts (one, two, three,
etc. lanes), shared left-and-through lanes, through lanes, shared
right-and-through lanes, exclusive rights, etc. But it cannot do
lane-by-lane analyses, and there are some lane groups that it doesn’t
accommodate easily. One of those is the southbound approach.
The southbound approach
has the following lane configuration: left, left/through, and
through/right. The HCM doesn’t provide for an exclusive left-turn
lane in conjunction with a left/through lane. That means you have to
decide how this approach should be modeled. Two criteria must be satisfied. First, the innermost lane
gets as much use as the center lane and the outermost lane gets very little use. Second, the queue lengths on
the innermost lane and center lane are about balanced.
We
compared and contrasted three ways to represent the southbound approach.
In
Dataset 32,
the base case, which we prefer, we assume the innermost
lanes are used only for left turns, and the outermost lane is used for throughs and rights,
shown as the first condition in
Exhibit 2-42. This
simplification is not a major misrepresentation of the way the
approach works, but it is a simplification. There are through vehicles that use the middle lane. That option produces equal delays for
the lefts and the throughs and rights, and the queue length estimates
(average and 95th percentile) for the left-turning lanes are
double those of the through-and-right lane. That is consistent with the
field observations.
to Sub-problem 4b
|
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Sub-problem 4a: Clifton Country Road AM
peak hour - Existing Conditions
Exhibit 2-42.
Clifton Country Road Effects of Lane Group Treatments for the
Southbound Approach |
Condition* |
Performance Measure |
Eastbound |
Westbound |
Northbound |
Southbound |
OA |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
Dataset 32 Base Case |
Delay |
34.5 |
28.6 |
10.2 |
25.6 |
31.3 |
21.0 |
12.9 |
23.4 |
33.1 |
32.0 |
33.2 |
33.0 |
32.3 |
31.2 |
32.0 |
25.9 |
v/c ratio |
0.03 |
0.8 |
0.2 |
- |
0.5 |
0.7 |
- |
- |
0.4 |
0.2 |
0.3 |
- |
0.4 |
0.2 |
- |
- |
95-Queue |
0.2 |
15.6 |
5.3 |
- |
6.9 |
20.0 |
- |
- |
4.4 |
2.2 |
3.2 |
- |
4.4 |
2.5 |
- |
- |
Queue |
0.1 |
8.3 |
2.6 |
- |
3.5 |
11.0 |
- |
- |
2.1 |
1.1 |
1.6 |
- |
2.2 |
1.2 |
- |
- |
Dataset 36 Single SB Lane Group |
Delay |
34.5 |
28.6 |
10.2 |
25.6 |
31.3 |
21.0 |
12.9 |
23.4 |
33.1 |
32.0 |
33.2 |
33.0 |
31.8 |
31.8 |
25.9 |
v/c ratio |
0.0 |
0.8 |
0.2 |
- |
0.5 |
0.7 |
- |
- |
0.4 |
0.2 |
0.3 |
- |
0.4 |
- |
- |
95-Queue |
0.2 |
15.6 |
5.3 |
- |
6.9 |
20.0 |
- |
- |
4.4 |
2.2 |
3.2 |
- |
3.8 |
- |
- |
Queue |
0.1 |
8.3 |
2.6 |
- |
3.5 |
11.0 |
- |
- |
2.1 |
1.1 |
1.6 |
- |
1.8 |
- |
- |
Dataset 37 SB Grouping as L, LT, TR |
Delay |
34.5 |
28.6 |
10.2 |
25.6 |
31.3 |
21.0 |
12.9 |
23.4 |
33.1 |
32.0 |
33.2 |
33.0 |
49.9 |
30.5 |
45.4 |
26.6 |
v/c ratio |
0.0 |
0.8 |
0.2 |
- |
0.5 |
0.7 |
- |
- |
0.4 |
0.2 |
0.3 |
- |
0.8 |
0.1 |
- |
- |
95-Queue |
0.0 |
15.6 |
5.3 |
- |
6.9 |
20.0 |
- |
- |
4.4 |
2.2 |
3.2 |
- |
10.1 |
1.2 |
- |
- |
Queue |
0.1 |
8.3 |
2.6 |
- |
3.5 |
11.0 |
- |
- |
2.1 |
1.1 |
1.6 |
- |
5.2 |
0.6 |
- |
- |
*Using an 82.0
second cycle length during the a.m. peak hour
You can also group all
the movements together and have a generic 3-lane approach (Dataset
36). That produces the Single SB Group results shown in Exhibit
2-42. The results aren’t significantly different from those in the base case,
but the distinction is lost between the innermost two lanes and the outer
lane.
You could also create a
scenario that looks like field observations: a single
left-turn lane, two lanes assigned partially to through movements, and
shared lefts and rights (Dataset
37). However, this produces a result that is very
different from the base case, as seen in the third scenario in the table. The delays for the southbound left are quite large, 49.9 seconds per
vehicle, and the queue length values are two-and-a-half times those of the
base case. This lane grouping definition
doesn’t match the field conditions.
We have
identified a way to model the situation that matches the behavior that’s
been observed in the field. In this case, the base case or the single SB
lane group seems best.
to Sub-problem 4b |
Page Break
Sub-problem 4b: Clifton Country Road PM peak hour - Existing Conditions
We could examine many issues based on the PM Existing conditions. A
few are lane utilization, coordination, lane groups, lost time, critical
movements, signal timing, and queue length. Of these, we have
examined lost time or right turns on red. We will
use the PM Existing condition to look at these two issues as well
as the difference between demand and volume.Analyses:
Lost
Time
Demand
vs. Volume
Right
Turns On Red
to Sub-problem 4b |
Page Break
Sub-problem
4b: Clifton Country Road PM peak hour - Existing Conditions
Lost Time
Start-up lost time is the seconds of
green that go unutilized because it takes the lead vehicles a little while
to get going. The HCM default is 2 seconds. Sometimes, the intersection geometry
lengthens this figure. In this case, the
northbound and southbound approaches have a slightly longer lost time,
because of an upgrade and the geometry of the left-turn moves. It takes the discharging queues a short while to get
organized before vehicles start to flow smoothly. Increasing the start-up
lost time to 3 seconds, which is what we’ve assumed, lets us account for
the delay due to the slope.
At the end of the
green, you also have to specify the extension of effective green.
This is the number of seconds, after the light goes yellow, that vehicles
are still entering the intersection. The HCM assumes 2 seconds. The HCM's
default assumptions, then, are that the
specified green time is the same as the length of the effective green time. The ideas are different, but the numbers are the same. If you have a
green 20 seconds long, and a yellow that’s 3 seconds long, then the lost
start-up time means that vehicles are moving during only 18 of
the 20 seconds of green, losing 2 seconds. On the other hand, if
you assume a green time extension of 2 seconds, vehicles are still
entering the intersection for 2 of the 3 seconds of yellow, gaining the two seconds of lost time.
By
assuming the start-up lost time is 3 seconds and leaving the extension of
green unchanged at 2 seconds, we assume the amount of
effective green available to the northbound and southbound flows is one
second shorter than the green time we assign. If the green time is 20
seconds, subtracting 3 and adding back 2 means we have 19 seconds of
effective green.
to Sub-problem 4b |
Page Break
Sub-problem 4b: Clifton Country Road PM peak hour - Existing Conditions
Demand vs. Volume
When you collect turning movement counts at an intersection, you are
recording the output from the intersection, but not necessarily the input. Traffic counts record the vehicles that
have been processed by the intersection, leaving uncounted those that are queued up
and waiting to
be processed. The counts you collect are volumes, and the arrivals are demand. In many cases, congested intersections have demand/volume
ratios greater than 1.0 during the peak hour. That is, the arriving
demands are greater than the intersection can handle. Queues begin to form
and grow while the demand to capacity (D/C) ratio is greater than 1.0. They only begin to
dissipate when the D/C ratio becomes less than 1.0.
In
Exhibit 2-43, we see the
base case (Dataset 38) results for the PM Existing
conditions. The delays range from 13.1 to 54.7 seconds per vehicle, the
queues reach up to 10.9 vehicles on average and 20.0 vehicles at the 95th
percentile, and the v/c ratios are 0.40 to 0.98. Five of the v/c ratios
are 0.80 or above.
Exhibit 2-43. Clifton Country Road PM Existing Base Case Conditions
|
Condition |
Cycle
Length |
Performance Measure |
Eastbound |
Westbound |
Northbound |
Southbound |
OA |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
Dataset 38
Base Case |
84.0 |
Delay |
41.8 |
50.4 |
14.0 |
40.9 |
52.3 |
20.4 |
13.1 |
32.4 |
37.3 |
50.5 |
54.7 |
45.5 |
53.2 |
35.7 |
48.5 |
39.9 |
v/c ratio |
0.40 |
0.97 |
0.45 |
- |
0.92 |
0.69 |
- |
- |
0.69 |
0.81 |
0.82 |
- |
0.91 |
0.60 |
- |
- |
95-Queue |
1.8 |
20.0 |
11.4 |
- |
16.7 |
18.9 |
- |
- |
9.0 |
12.5 |
10.6 |
- |
14.5 |
8.9 |
- |
- |
Queue |
0.9 |
10.9 |
5.9 |
- |
9.0 |
10.3 |
- |
- |
4.6 |
6.5 |
5.5 |
- |
7.7 |
4.5 |
- |
- |
The intersection is near capacity. Not all of the approaches
have v/c ratios at or greater than 1.0, but a number of them have specific
movements that are close. On some days, this
intersection is over capacity. Demand probably does exceed capacity, and
queues form.
When we examine the PM With condition, we need to be
prepared to check for D/C ratios greater than one and take appropriate
actions.
to Sub-problem 4b |
Page Break
Sub-problem 4b: Clifton Country Road PM peak hour - Existing Conditions
Right Turns on
Red
In all of the datasets for the Clifton
Country Road intersection we assumed there are a substantial right
turns on red (RTOR) for the eastbound, westbound, and northbound
approaches. (click
here to open any one of the datasets.) Each of these three
approaches has an auxiliary right turn lane. The one difference among them
is that the eastbound right-turn lane is quite short and the right turn on
red is often difficult to make because the lane is blocked, the westbound
lefts are turning, or the southbound throughs are in motion.
Exhibit 2-44 shows
you the difference in predicted performance between the base case PM
Existing condition and condition where the RTOR on the eastbound,
westbound and southbound approaches are prohibited. Follow the link to
see
Dataset 38
(2002 PM base case)
or
Dataset 39
(RTOR prohibited) datasets.
In the base case, 10% of the eastbound rights turn right on red. For the
westbound approach, all of the right turns are omitted because there is a
separate right-turn auxiliary lane and there isn’t much opposing traffic.
For the northbound approach, as many vehicles turn right during phases 1
and 2 as westbound lefts in a single lane (550/2). Another 10% of the
northbound rights move during other times when the light is red
northbound. Southbound, there are no right turns on red. In the RTOR
prohibited dataset, all the right-turn-on-red volumes are set to zero
except for the northbound approach where the volume is set to 275,
reflecting the number of right turns that move when the westbound left is
moving.
Notice that the eastbound and westbound RTOR values can be zero and the
intersection can still function well. Neither of these RTOR prohibitions
causes a catastrophic increase in delay. The eastbound right-turn delay
grows from 14.0 to 14.5 seconds per vehicle. The westbound delay grows from
13.1 to 16.3 seconds per vehicle. The base case assumes that these auxiliary
lanes are reachable, meaning that the length of the eastbound lane must be
10-20 cars long to be reachable 50-95% of the time, and the westbound lane
must be 10-19 cars long.
For the northbound
approach, a RTOR prohibition creates LOS F (these results are not shown in
the table.) In fact, the smallest feasible RTOR value is 297 vehicles. That
is, if the RTOR value was decreased from the base case, through some traffic
engineering treatment, the smallest it could be would be 297 vph and still
have LOS F for the northbound rights.
Exhibit 2-44. Clifton Country Road PM Peak Hour Effects of RTOR
|
Condition |
Cycle Length |
Performance Measure |
Eastbound |
Westbound |
Northbound |
Southbound |
OA |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
Dataset 38 Base Case |
84.0 |
Delay |
41.8 |
50.4 |
14.0 |
40.9 |
52.3 |
20.4 |
13.1 |
32.4 |
37.3 |
50.5 |
54.7 |
45.5 |
53.2 |
35.7 |
48.5 |
39.9 |
v/c ratio |
0.40 |
0.97 |
0.45 |
- |
0.92 |
0.69 |
- |
- |
0.69 |
0.81 |
0.82 |
- |
0.91 |
0.60 |
- |
- |
95-Queue |
1.8 |
20.0 |
11.4 |
- |
16.7 |
18.9 |
- |
- |
9.0 |
12.5 |
10.6 |
- |
14.5 |
8.9 |
- |
- |
Queue |
0.9 |
10.9 |
5.9 |
- |
9.0 |
10.3 |
- |
- |
4.6 |
6.5 |
5.5 |
- |
7.7 |
4.5 |
- |
- |
Dataset 39 Downward Adjusted RTOR |
85.0 |
Delay |
41.8 |
50.4 |
14.5 |
40.3 |
52.3 |
20.4 |
16.3 |
30.0 |
37.3 |
50.5 |
79.7 |
52.7 |
53.2 |
35.7 |
48.5 |
39.7 |
v/c ratio |
0.40 |
0.97 |
0.50 |
- |
0.92 |
0.69 |
0.39 |
- |
0.69 |
0.81 |
0.95 |
- |
0.91 |
0.60 |
- |
- |
95-Queue |
1.8 |
20.0 |
13.0 |
- |
16.7 |
18.9 |
9.1 |
- |
9.0 |
12.5 |
13.9 |
- |
14.5 |
8.9 |
- |
- |
Queue |
0.9 |
10.9 |
6.8 |
- |
9.0 |
10.3 |
4.6 |
- |
4.6 |
6.5 |
7.3 |
- |
7.7 |
4.5 |
- |
- |
to Sub-problem 4c |
Page Break
Sub-problem 4b: Clifton Country Road PM
peak hour - Existing Conditions
Notice that we can drop
the eastbound and westbound RTOR values to zero and the intersection still functions well.
Neither of these right turns has catastrophic increases in delay. The
eastbound right-turn delay grows from 14.0 to 14.5 seconds per vehicle. The
westbound delay grows from 13.1 to 16.3 seconds per vehicle. The base case
assumes that these auxiliary lanes are
reachable, meaning that the length of the eastbound lane must be 10-20
cars long to be reachable 50-95% of the time, and the westbound lane must be 10-19 cars long.
For the northbound
approach, however, the RTOR value cannot drop to zero without creating
LOS F. In fact, the smallest feasible RTOR value is 297 vehicles. That
means, of the 508 northbound right turns, 58% (297/508) must be
able to make a RTOR to make the intersection work. The intersection
currently operates this way; no standing queue exists in that lane.
to Sub-problem 4c |
Page Break
Sub-problem
4c: Clifton Country Road 2004 PM - With vs.
Without Conditions
It’s in the
comparison of the with versus without conditions for the
future design year, the traffic impact assessment finds its main
emphasis. What network enhancements are required to accommodate the
without conditions? Nominally, those improvements are the
responsibility of the owning and operating agency. The differences
between the without and the with condition are traceable
to the development.
At
the Clifton Country Road intersection, we can look at this without
versus with comparison in the context of the PM peak, one of the
major times when the impacts occur. Exhibit 2-45 presents the intersecting
volumes for three conditions: the Year 2004 volumes without the site (2004
PM without); the percentage distribution of outgoing traffic (eastbound) and
incoming traffic (westbound through, northbound left, southbound right);
the site-generated traffic (vehicles per hour); the year 2004 with
conditions; and the year 2004 with conditions with 30% more site-generated
traffic. We will use each of the three intersecting volume
conditions in our analysis.
Exhibit 2-45. Clifton Country Road Year 2004 Without and With
Intersecting Volumes
|
Scenario |
Eastbound |
Westbound |
Northbound |
Southbound |
Total |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
2004 PM Without |
33 |
985 |
389 |
1,407 |
572 |
961 |
267 |
1,800 |
352 |
232 |
528 |
1,112 |
493 |
168 |
16 |
677 |
4,996 |
% Addition Distributed |
1% |
35% |
14% |
50% |
0% |
36% |
0% |
36% |
13% |
0% |
0% |
13% |
0% |
0% |
1% |
1% |
100% |
Site-Generated Traffic |
3 |
106 |
41 |
150 |
0 |
108 |
0 |
108 |
40 |
0 |
0 |
40 |
0 |
0 |
2 |
2 |
300 |
2004 PM With |
36 |
1,089 |
431 |
1,556 |
572 |
1,069 |
267 |
1,898 |
392 |
232 |
528 |
1,152 |
493 |
168 |
18 |
679 |
5,285 |
2004 PM With +30% |
37 |
1,121 |
443 |
1,601 |
572 |
1,091 |
267 |
1,930 |
404 |
232 |
528 |
1,164 |
493 |
168 |
18 |
679 |
5,374 |
to Sub-problem 4c |
Page Break
Sub-problem 4c: Clifton Country Road 2004 PM - With vs.
Without Conditions
Without
In the PM Without condition, the interesting issue is the
intersection’s performance. This situation sets the standard against
which the PM With condition is compared.
Exhibit 2-46 shows the
performance of the intersection under four conditions: PM Without (Dataset
40); a PM With condition in which the site-generated flows
are at their expected values (Dataset
41); a PM With condition in which the site-generated traffic
is 30% greater than those expected values (Dataset 42); and a PM With condition in
which intersection enhancements have been made to improve the facility’s
performance (Dataset
43).
In the PM Without
condition, the delays are substantial. They range from 13.7 to
62 seconds per vehicle, with many being above 50. The overall average
delay is 56.2 seconds per vehicle. The average queue lengths are
predominantly around 8-12 vehicles and the 95th percentile
queue lengths range up to 21 vehicles. Five of the v/c ratios are 0.80 or
above.
With
The with condition makes the
situation worse. Delays are higher (the average delay is higher by 5.5 seconds per vehicle),
v/c ratios are higher, and queues are longer.
With Plus 30-Percent We
will explore the impacts even further by examining a situation where
the site-generated traffic was 30% greater than projected.
That scenario is presented third. One movement (the eastbound through) now
has a v/c greater than 1.0, several movements are at LOS E, and the
overall intersection level of delay is 51
seconds per vehicle.
to Sub-problem 4c |
Page Break
Sub-problem 4c: Clifton Country Road 2004
PM - With vs. Without Conditions
Exhibit 2-46. Clifton Country Road Scenario Investigations-Without &
With Site-Generated Traffic |
Conditions |
Cycle Length |
RTOR |
Performance Measure |
Eastbound |
Westbound |
Northbound |
Southbound |
OA |
EB |
WB |
NB |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
L |
T |
R |
Tot |
Dataset 40 Without |
95.0 |
39 |
267 |
340 |
Delay |
48.8 |
55.3 |
15.6 |
45.0 |
55.6 |
21.4 |
13.7 |
34.3 |
41.8 |
56.6 |
60.3 |
50.8 |
62.0 |
40.6 |
56.2 |
44.0 |
v/c |
0.46 |
0.98 |
0.47 |
- |
0.92 |
0.69 |
- |
- |
0.70 |
0.83 |
0.83 |
- |
0.93 |
0.63 |
- |
- |
95-Queue |
2.1 |
22.9 |
13.1 |
- |
19.0 |
21.3 |
- |
- |
10.4 |
14.6 |
12.2 |
- |
17.1 |
10.5 |
- |
- |
Queue |
1.0 |
12.7 |
6.9 |
- |
10.3 |
11.8 |
- |
- |
5.4 |
7.7 |
6.3 |
- |
9.2 |
5.4 |
- |
- |
Dataset 41 With Conditions Base Case |
107.0 |
43 |
267 |
340 |
Delay |
51.0 |
53.6 |
16.9 |
51.3 |
65.2 |
25.8 |
15.2 |
39.6 |
50.0 |
60.7 |
64.0 |
56.3 |
67.2 |
45.6 |
61.3 |
49.5 |
v/c |
0.38 |
1.00 |
0.50 |
- |
0.95 |
0.76 |
- |
- |
0.77 |
0.83 |
0.83 |
- |
0.94 |
0.63 |
- |
- |
95-Queue |
2.5 |
28.1 |
16.1 |
- |
21.4 |
27.4 |
- |
- |
13.3 |
16.0 |
13.4 |
- |
18.7 |
11.8 |
- |
- |
Queue |
1.2 |
16.1 |
8.6 |
- |
11.8 |
15.6 |
- |
- |
7.0 |
8.5 |
7.0 |
- |
10.2 |
6.1 |
- |
- |
With Conditions 30% Higher Site Traffic |
108.0 |
44 |
267 |
340 |
Delay |
51.7 |
55.7 |
17.0 |
52.9 |
67.7 |
26.2 |
15.0 |
40.5 |
52.6 |
62.4 |
65.7 |
58.3 |
69.6 |
46.4 |
63.2 |
51.0 |
v/c |
0.39 |
1.1 |
0.51 |
- |
0.96 |
0.77 |
- |
- |
0.80 |
0.83 |
0.83 |
- |
0.94 |
0.64 |
- |
- |
95-Queue |
2.6 |
29.2 |
16.6 |
- |
21.8 |
28.6 |
- |
- |
14.1 |
16.3 |
13.5 |
- |
19.1 |
11.9 |
- |
- |
Queue |
1.3 |
16.8 |
8.9 |
- |
12.1 |
16.4 |
- |
- |
7.4 |
8.7 |
7.1 |
- |
10.4 |
6.2 |
- |
- |
Dataset 43 With Conditions 30% Higher Site Traffic-
enhanced |
101.0 |
44 |
267 |
340 |
Delay |
47.8 |
32.7 |
7.7 |
26.6 |
48.1 |
28.2 |
16.7 |
35.1 |
45.6 |
51.9 |
54.6 |
49.4 |
49.2 |
39.4 |
46.5 |
36.5 |
v/c |
0.36 |
0.87 |
0.55 |
- |
0.86 |
0.79 |
- |
- |
0.75 |
0.78 |
0.78 |
- |
0.84 |
0.57 |
- |
- |
95-Queue |
2.4 |
22.2 |
9.5 |
- |
18.5 |
28.3 |
- |
- |
12.8 |
14.7 |
12.3 |
- |
16.1 |
10.8 |
- |
- |
Queue |
1.2 |
12.3 |
4.9 |
- |
10.0 |
16.2 |
- |
- |
6.7 |
7.8 |
6.4 |
- |
8.6 |
5.6 |
- |
- |
to
Sub-problem 4c |
Page Break
Sub-problem 4c: Clifton Country Road 2004 PM - With vs.
Without Conditions
to Discussion |
Page Break
Problem 4: Clifton Country Road
Discussion
This problem has explored a number of capacity modeling issues in the context
of the Clifton Country Road intersection. Consistent with
Exhibit 2-3, we examined time periods, the relationships among HCM
methodologies, times to use other tools, interpretation
of results, etc. As we found with the Moe Road analysis, lane utilization
will again be important. We looked at that in the context of the AM
Existing conditions. In addition, we examined lane groups and lost times.
In the case of the PM Existing conditions, we explored issues of queue
spillback, feasibility of identified solutions, demand versus volume,
and right turns on red. In the PM With condition, we focused on feedback
(in terms of design), the impacts of various assumptions about the future
conditions, and the tie between geometric changes and intersection
performance. Only changes to the signal operation and lane
utilization were explored. No geometric changes explored.
to Problem 5 |
|