Case Study 3: Overview, Introduction, and Getting Started - Printable

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Overview

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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, identify 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 identify areas that are deficient. Then, applying the same analysis tools, we will investigate some alternatives for mitigating the deficiencies.  

The main purpose of the case study is to illustrate the concepts and practice of applying the transportation 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.  

Krome Avenue is an actual 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.

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Getting Started

Printable Version 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:

What are the goals, objectives, and scope?

What tools should we apply?

What analyses should be conducted?

Who are the stakeholders and what are their issues?

What information is required to support the analyses?

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:

  • Establish the framework of the analysis;

  • Identify the most appropriate tools for carrying out the analysis;

  • Apply the tools to identify deficiencies in the current operation; and

  • Evaluate potential mitigation measures.

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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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. The 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

 

HCM Part II

 

Facility type

HCM Part III

 

HCM Part IV

 

Level of analysis

 

Problem type

HCM

 

10

 

Uninterrupted

15

 

28

 

Planning

 

Functional Design

Macroscopic simulation

11

16

29

Design

Detailed design

Microscopic simulation

12

17

30

Operational analysis

Access management

Other tools

13

Interrupted

20

 

 

Intersection operations

 

14

22

Arterial operations

 

23

Network operations

24

Freeway operations

25

Corridor study

 

18

Sub-area Study

19

Areawide study

Who are the stakeholders and what are their issues?
This item may or may not be needed. It doesn’t really have any influence on the conduct of the study. If it is needed, it will have to be done by the Fort Lauderdale office.

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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
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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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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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 busses
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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What growth rates should be expected for future traffic volumes?
Annual 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 (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: 2.0 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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