Overview
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Overview, Introduction, and Getting Started
Krome Avenue is a 33-mile north-south route that bypasses Miami, Florida on
the west side. It is essentially a rural route that has very little roadside
development. Florida’s Turnpike is about 5 miles to the east, providing
several east-west connections to Krome Avenue. Its two-lane configuration
has limited capacity compared to other facilities such as freeways and
multilane roadways. Most of the route now operates well within its capacity,
except that some congestion has been observed at critical locations. This is
a region of high population growth that is expected to generate continually
increasing traffic volumes. Prompted primarily by safety considerations, the
posted speeds have already been reduced below the 55 mph level typically
found on open highways.
In this case study, we will go through the process of identifying the goals,
objectives and analysis tools for an investigation of the existing level of
service on the entire route. We will then apply the analysis tools to assess
the current performance of this route and to identify areas that are
deficient. Finally, applying the same analysis tools, we will investigate some
alternatives for correcting the deficiencies.
The main purpose of the case study is to illustrate the concepts and
practice of applying the analysis tools in general, and the
Highway Capacity
Manual (HCM) in particular. Much of the discussion will be based on a
recently completed study of Krome Avenue that had similar goals and
objectives. Several problems will be presented to illustrate the application
of the tools and the interpretation of the results.
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Overview
Krome Avenue is a
real highway and the data used in the problems represent actual field data.
In some cases the alternative intersection improvements discussed in this
case study were chosen for their illustrative value, and do not necessarily
reflect the recommendations of the original study.
After studying this material, you
should be able to:
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Analyze a facility and
understand the
criteria that are used to classify a roadway as an urban arterial or
two-lane highway. |
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Understand what input data are
required and the assumptions that are commonly made regarding default
values for the HCM procedures for these facilities. |
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Know the appropriate kinds of
analysis that should be undertaken, including the scope of a facility that
should be included in an analysis. |
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Understand the limitations of
the HCM procedures and when it is appropriate to use other models or
computational tools. |
| Know how to reasonably interpret the results from an
HCM analysis and how these results can be used to support a particular
decision regarding a change to a transportation system. |
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Introduction
Printable
Overview, Introduction, and Getting Started
Krome Avenue
(SR 997) is
one of the westernmost roadways in the Miami urban area, separating the developed
portion of Miami from the Everglades, as shown in the map of
Exhibit 3-1. There are no access controls that
would give it any of the characteristics of a freeway. Traffic volumes are
moderate; and congestion is not a major problem, except at a few critical
intersections with important east-west arterials. A schematic overview of
the entire route is presented in
Exhibit 3-2. This route has all of the
characteristics of a two lane rural highway at the north end. It becomes
increasingly urbanized (still retaining the two-lane configuration) and is
clearly a signalized arterial at the south end of the study section. There
are several intersections, both signalized and unsignalized, that require
attention and analysis to determine what, if any, modifications should be
made. Some of the intersections have unusual features that will be explored
to create a better understanding of the application of the HCM. Discussion:
Consider the
situation described above and review the sketches and location map showing
the street system. What steps would you need to go through to conduct a
useful and relevant study of the Krome Avenue route identified in
Exhibit 3-1? After you have listed these steps, continue to
the next page to learn how we can apply the methods of the Highway Capacity
Manual to address these issues and provide assistance to decision makers on
how to improve this road facility.
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Exhibit 3-1. Krome Avenue |
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Exhibit 3-2. Route Overview |
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Getting Started
Printable
Overview, Introduction, and Getting Started To begin this particular case study, we
need first need to consider issues related to setting the scope, the goals
and objectives, the analysis methodology, the sequencing of the analysis,
the tools to use, and the data to employ. The following series of questions
must be answered before the detailed work begins:
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What are the goals, objectives, and scope?
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What tools should we
apply?
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What analyses should be conducted?
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Who are the stakeholders and what are
their issues?
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What information is required
to support the analyses?
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What growth rates should
be expected for future traffic volumes?
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Getting Started
What are the goals, objectives, and scope?
We have learned from the Florida Department of
Transportation (FDOT) staff that the goal of this project is to assess the
current operation of Krome Avenue and to evaluate potential mitigation
measures that could overcome the identified deficiencies. For the purposes
of the HCMAG, we'll also use this case study to demonstrate the
manner in which various procedures from the HCM should be selected and
applied.
In order to meet the project goals set forth by FDOT
staff, we'll need to address the following specific project objectives:
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Establish the framework of the analysis;
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Identify the most appropriate tools for carrying out the analysis;
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Apply the tools to identify deficiencies in the current operation;
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Evaluate potential mitigation measures.
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The scope of the study precludes major construction
projects such as conversion of Krome Avenue from a two-lane facility to a
multilane facility. Because of the simplicity inherent in rural settings,
we will not go into great depth in the analysis of the intersection
operations, except when a useful illustrative purpose exists. Other case
studies in this Guide deal with more complex intersections in more urbanized
settings.
Population growth in Florida is a complex issue that will
be simplified for this study by assuming fixed annual growth
rates for traffic volume projections.
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Getting Started
What tools should we
apply?
The study will focus on
the procedures prescribed by the HCM for analysis of two-lane highways and
signalized arterials. Arterial analysis also involves the HCM procedures
that deal with signalized and unsignalized intersections. The relatively
simple configuration of this essentially rural facility will allow us to
perform all of the necessary tasks without seeking tools and models that are
more complex than those offered by the HCM.
What analyses should be conducted?
There are many ways to classify traffic analysis problems that
are appropriate for analysis with the HCM. Exhibit 3-3 below includes
seven categories. The kinds of problems that are addressed in this chapter,
within these seven categories,
are highlighted in BLUE.
Exhibit 3-3. Traffic Analysis Problem Classification |
Analytical tools |
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HCM Part II |
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Facility type |
HCM Part III |
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HCM Part IV |
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Level of analysis |
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Problem type |
HCM |
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10 |
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Interrupted |
15 |
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28 |
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Planning |
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Functional Design
|
Macroscopic simulation |
11 |
16 |
29 |
Design |
Detailed design |
Microscopic simulation |
12 |
17 |
30 |
Operational analysis |
Access management |
Other
tools |
13 |
Uninterrupted |
20 |
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Intersection operations |
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14 |
22 |
Arterial operations |
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23 |
Network operations |
24 |
Freeway operations |
25 |
Corridor study |
|
18 |
Sub-area Study
|
19 |
Areawide study |
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Getting
Started
Who are the
stakeholders and what are their issues?
The agencies and individuals who have
an interest in this project include FDOT, the local communities through
which Krome Avenue passes, the residents who abut or live near to the
highway, and the commuters and others who use the facility on a regular
basis. Although the facility users are a difficult group to speak to (they
are hard to identify and they don't normally come to public hearings in
their capacity as a road user), they are nevertheless represent a viewpoint
that is equally as important as that of the other stakeholders.
The stakeholders are united around
the goal of creating a safe and operationally efficient environment, but
they have different ideas about how this might be accomplished. Some think
the answer to current operational and safety problems is to modernize the
roadway by adding new through lanes and exclusive turn lanes, while others
think that such actions would raise speeds, increase volume, and create new
problems at the interface points between the urban and rural
environments. Even with these preconceptions, all stakeholders recognize
that it is too early in the process to be definitive about a preferred
course of action, and they see this study as a necessary precursor to the
development of alternative solutions, where facts are gathered and objective
analyses are performed so that all future solution concepts can be judged
against a common reference point.
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Getting Started
What information is required
to support the analyses?
Three types of input data are required, including
geometric characteristics, operating parameters, and traffic data. Some of
the data items will be used to determine the facility class designation,
while other items are required to carry out the LOS estimation procedures.
At this point, we are interested only in identifying what we need to know.
The assumptions and application of default values will be indicated here,
but the assignment of site-specific values and their use in the HCM
procedures will be addressed in connection with each of the problems in this
case study.
To establish the data requirements, it is necessary to
refer to each of the facility chapters to identify the important
determinants of the level of service on a facility. Referring to Chapter 10
(Urban Street Concepts), we are able to learn that the information in
Exhibit 3-4 is needed to determine the arterial class:
Exhibit 3-4. Information Required to Determine Arterial Class
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Data Item |
Source or Assumptions |
Arterial function (principal or minor) |
Krome Avenue has the characteristics of
a principal arterial |
Driveway access density (very low, low,
moderate, high) |
Very low throughout the entire length |
Cross section characteristics (divided
or undivided, shoulders or not) |
Undivided, with shoulders |
Signal density (signals per mile) |
Measured distances will be used |
Speed limit |
Will be obtained from a field survey |
Roadside development (low, medium,
moderate, high) |
Very Low development throughout the
route |
Pedestrian activity level |
Negligible pedestrian activity |
Is parking allowed? |
No parking anywhere on the route |
Are there exclusive left-turn lanes? |
Yes, except at one intersection |
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Getting Started Chapter 15 tells us that an arterial analysis is performed
separately on each segment of the facility. The only piece of facility-wide
data is the length of the analysis period, usually 15 minutes or one hour. A
segment is usually terminated by a signalized intersection. The following
information is needed for each segment to produce an estimate of the LOS for
a signalized arterial:
Exhibit 3-5. Information Required to Determine Arterial Level of Service |
Data Item |
Source or
Assumptions |
Segment length
(usually the distance to the preceding intersection) |
Scaled from map |
Urban street Class
(usually the same for all segments) |
To be determined in
Problem 1 |
Demand Volume |
Based on traffic
counts |
Peak hour factor (PHF) |
Based on field
measurements |
Free-flow speed |
Set at posted speed +
5 mph |
Cycle length |
Based on field
measurements. Different at each intersection because of isolated
traffic-actuated operation. |
g/c ratio |
Based on field
measurements |
Arrival type |
Always Arrival Type -3
because of isolated operation |
Unit extension
for
traffic-actuated control |
HCM default value of
3.0 sec will be used throughout. |
Initial queue at the
beginning of the analysis period |
Assumed to be zero |
Observed delay not
related to the signal operation. |
No other delays were
observed. |
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Getting Started We must refer to HCM Chapters 12 and 20 to determine the
information required for LOS estimation on two-lane highways. Referring to
Chapter 12 (Highway Concepts), we are able to learn that the determination
of the highway Class is related more to the general nature of the highway
and to motorist expectations than to quantitative field data. Unlike
signalized arterials, there is no segmentation involved in a two-lane
highway analysis. The facility is assumed to be homogeneous, and
heterogeneous segments should be analyzed as separate facilities.
The following information is needed to produce an estimate
of the LOS for a two-lane highway:
Exhibit 3-6. Information
Required to Determine Two-lane Highway Level of Service |
Data Item |
Source or
Assumptions |
Highway Class
(I or II) |
To
be determined in Problem 1 |
Facility length |
Scaled from map |
Lane width |
Measured at 12 ft for the whole facility |
Shoulder width |
Measured at 3-5 ft. |
Terrain |
Always flat, consistent with its coastal Florida location |
Traffic volume |
Based on traffic counts |
PHF |
Based on field measurements |
Directional split |
Based on field measurements |
Trucks and buses (%) |
Based on field measurements |
Recreational vehicles (%) |
Will be aggregated with trucks and buses |
No
passing zones (%) |
Based on field measurements |
Access points per mile |
Based on field measurements |
Free flow speed |
Base free flow speed will be assumed to be the posted speed + 5 mph.
The actual free flow speed will be calculated from other data items
indicated above, using the HCM Chapter 20 procedure. |
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Getting Started
What growth rates should be
expected for future traffic volumes?
Average Daily Traffic (ADT) counts along the corridor for
the last six years (1996-2001) were obtained from the Florida Department of
Transportation (FDOT). A regression analysis was performed on the six data
points to find the best-fit linear and logarithmic traffic projections.
While the average annual linear growth rate ranges from 5 to 21 percent, the
logarithmic projection suggest an average annual 2.1 percent compounded
growth to the year 2010 and a 1.5 percent compounded growth to 2020.
The logarithmic projection is more realistic of future
growth for three reasons: 1) a linear rate of traffic growth is not
physically possible to sustain for an indefinite period of time, 2) the
historical ADT data from 2000 and 2001 in some cases already shows a trend
that is starting to level off (that is, the rate of growth is decreasing), and 3) as
roadways become more congested, the rate of traffic growth decreases. In
addition, the future land-use plan for the corridor does not indicate a
significant change over the existing land uses to warrant a continuation of
the observed historical growth rates.
The applied
growth rates recommended are as follows: 2.4 percent compounded annually for
link volumes and intersection turning movement counts except for the through
movement on Okeechobee Road, where a 2.7% annual growth rate is recommended. [
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