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The following article is
a highly sophisticated description of traffic congestion in the US but
does not attempt to suggest strong measures to relieve the congestion. We
must make radical changes including Federal, State and local Municipality
changes in the law to achieve relief. Why should the truckers
unions not step aside and allow their big rigs to make reasonable
deliveries after the regular traffic flows slow down substantially? I
suggest that these trucks make their commercial deliveries after 9:00 PM
and cease after 6:00 AM. I also believe the additional use of one way
streets in some areas would dramatically speed things up.
Traffic Congestion and Reliability:
Trends and Advanced Strategies for Congestion Mitigation
OVERVIEW
The report
Traffic Congestion and Reliability: Trends and Advanced Strategies for
Congestion Mitigation provides a snapshot of
congestion in the United States by summarizing recent trends in
congestion, highlighting the role of travel time reliability in the
effects of congestion, and describing efforts to reduce the growth of
congestion. This is the second in an annual series developed by the
Federal Highway Administration's (FHWA) Office of Operations.
Much of the report is devoted to communicating recent
trends in congestion. (See Figure ES.1 for an overview of congestion
trends.) One of the key principles that the FHWA has promoted is that
the measures used to track congestion should be based on the
travel time experienced by users of the
highway system. While the transportation
profession has used many other types of measures to track congestion
(such as "level of service"), travel time is a more direct measure of
how congestion affects users. Travel time is understood by a wide
variety of audiences—both technical and non-technical—as a way to
describe the performance of the highway system. All of the congestion
measures used in the report are based on this
concept.
Figure
ES.1 Congestion Has Grown Substantially in U.S. Cities
Over the Past 20 Years

Source: In their most recent annual report on
the state of congestion in America's cities, the Texas Transportation
Institute noted that congestion has grown substantially over the past 20
years. While the largest cities are the most congested, congestion
occurs—and has grown—in cities of every size. A more complete discussion
follows later in this section. (The 2005 Urban Mobility Report)
The report pays particular attention to the
concept of
travel time reliability—how
consistent travel conditions are from day-to-day—and strategies aimed at
improving reliability. The variation in travel times is now understood
as a separate component of the public's and business sector's
frustration with congestion problems. Average travel times have
increased and the report discusses ways to reduce them. But the
day-to-day variations in travel conditions pose their own challenges and
the problem requires a different set of solution strategies. The topics
covered in this year's report include:
-
Characteristics of congestion and travel
reliability;
-
Significance of reliability to travelers;
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Recent trends in congestion, especially
reliability;
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Strategies to address congestion problems;
and
-
New tools and initiatives for dealing with
congestion.
WHAT IS CONGESTION?
Congestion is relatively easy to
recognize—roads filled with cars, trucks, and buses, sidewalks filled
with pedestrians. The definitions of the term congestion mention such
words as "clog," "impede," and "excessive fullness." For anyone who has
ever sat in congested traffic, those words should sound familiar. In the
transportation realm, congestion usually relates to an excess of
vehicles on a portion of roadway at a particular time resulting in
speeds that are slower—sometimes much slower—than normal or "free flow"
speeds. Congestion often means stopped or stop-and-go traffic.
Previous work has shown that congestion is
the result of seven root causes, often interacting with one another.
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Physical Bottlenecks
("Capacity") – Capacity is
the maximum amount of traffic capable of being handled by a given
highway section. Capacity is determined by a number of factors: the
number and width of lanes and shoulders; merge areas at interchanges;
and roadway alignment (grades and curves).
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Traffic Incidents
– Are events that disrupt the normal flow of traffic, usually by
physical impedance in the travel lanes. Events such as vehicular
crashes, breakdowns, and debris in travel lanes are the most common
form of incidents.
-
Work Zones
– Are construction activities on the roadway that result in physical
changes to the highway environment. These changes may include a
reduction in the number or width of travel lanes, lane "shifts," lane
diversions, reduction, or elimination of shoulders, and even temporary
roadway closures.
-
Weather
– Environmental conditions can lead to changes in driver behavior that
affect traffic flow.
-
Traffic Control
Devices – Intermittent
disruption of traffic flow by control devices such as railroad grade
crossings and poorly timed signals also contribute to congestion and
travel time variability.
-
Special Events
– Are a special case of demand fluctuations whereby traffic flow in
the vicinity of the event will be radically different from "typical"
patterns. Special events occasionally cause "surges" in traffic demand
that overwhelm the system.
-
Fluctuations in
Normal Traffic –
Day-to-day variability in demand leads to some days with higher
traffic volumes than others. Varying demand volumes superimposed on a
system with fixed capacity also results in variable (i.e., unreliable)
travel times.
National estimates of congestion by source
are useful to guide FHWA's program and to
identify which areas should be emphasized (Figure ES.2). However, local
conditions vary widely–developing methods for estimating congestion
sources on individual highways would be highly useful to transportation
engineers "in the trenches" trying to decide how to craft mitigation
strategies. FHWA is currently researching this issue and is developing a
methodology to allow transportation engineers to estimate the sources'
contribution to total congestion using local data.
Figure
ES.2 The Sources of Congestion
National Summary

Congestion results from one or more of the
seven sources on the highway system. The interaction between multiple
sources is complex and varies greatly from day-to-day and
highway-to-highway. The problem is that with the exception of the
physical bottlenecks, the sources of congestion occur with maddening
irregularity—nothing is ever the same from one day to the next! One day
commuters might face low traffic volumes, no traffic incidents, and good
weather; the next day traffic might be heavier than normal, it might be
raining, and a severe crash may occur that blocks lanes on the roadway.
As if the congestion picture was not
complicated enough, consider further that some events can cause other
events to occur. For example:
-
Abnormally high congestion can shift
traffic to other highways or cause travelers to leave later, go to
other destinations, or choose not to go at all.
-
High congestion levels can lead to an
increase in traffic incidents due to closer vehicle spacing and
overheating of vehicles during summer months.
-
Bad weather can lead to crashes.
-
The traffic turbulence and distraction to
drivers caused by an initial crash can lead to other crashes.
Because of the interconnectedness of the
sources, significant payoffs can be expected by treating them.
In addition to causing delay to travelers,
the sources of congestion also produce another effect: variability in
congestion conditions. This variability in congestion is known as
travel time reliability,
in other words, how "reliable" travel conditions are day-to-day, and is
of intense interest for transportation professionals dealing with
congestion.
THE IMPORTANCE OF
TRAVEL TIME RELIABILITY
Congestion has not only grown over the past
two decades, it has become more volatile as well. Congestion levels are
never the same from day-to-day on the same highway because the
variety of traffic-influencing events that
influence congestion are never the same. Because travel conditions are
so unreliable on congested highways, travelers must plan for these
problems by leaving early just to avoid being late. This means extra
time out of everyone's day that must be devoted to travel—even if it
means getting somewhere early, that's still time we could be using for
other endeavors. Commuters could be late for work or after-work
appointments, business travelers could be late for meetings, and
truckers could incur extra charges by not delivering their goods on
time. And all because of unreliable travel conditions on our highways!
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What is Travel Time Reliability and What Are Its
Causes?
Travel time reliability is defined as how much travel times vary
over the course of time. This variability in travel times from one
day to the next is due to the fact that underlying conditions vary
widely. The seven sources of congestion—especially
traffic-influencing "events" such as traffic incidents, weather, and
work zones—that contribute to total congestion also conspire to
produce unreliable travel times, because these are never the same
from day-to-day. Transportation professionals have for many years
referred to this event-driven variability in travel conditions as
non-recurring congestion
since it happens differently every day. Travel time reliability,
then, is just a more formal way of describing what has been
historically called non-recurring congestion. |
By its very nature, roadway performance is
at the same time consistent and repetitive,
and yet highly variable and unpredictable. It is consistent and
repetitive in that peak usage periods occur regularly and can be
predicted with a high degree of reliability. (The relative size and
timing of "rush hour" is well known in most communities.) At the same
time, it is highly variable and unpredictable, in that on any given day,
unusual circumstances such as crashes can dramatically change the
performance of the roadway, affecting both travel speeds and throughput
volumes.
The traveling public experiences these large
performance swings, and their expectation or fear of unreliable traffic
conditions affects both their view of roadway performance, and how, when
and where they choose to travel. For example, if a road is known to have
highly variable traffic conditions, a traveler using that road to catch
an airplane routinely leaves lots of "extra" time to get to the airport.
In other words, the "reliability" of this traveler's trip is directly
related to the variability in the performance of the route she or he
takes.
HOW DO WE MEASURE TRAVEL TIME RELIABILITY?
Travel time reliability can be defined in
terms of how travel times vary over time (e.g., hour-to-hour,
day-to-day). Commuters who take congested highways to and from work are
well aware of this. When asked about their commutes, they will say
things like: "it takes me 45 minutes on a good day, but an hour and 15
minutes on a bad day" or "it takes me an additional 10 minutes if I
leave 15 minutes later."
Figure ES.3 typifies this experience with
data from State Route 520, a major commuter route, in Seattle,
Washington. If there was no congestion on this 11.7 mile segment, travel
times would be around 12 minutes; on President's Day this was the case.
On other days, the average travel time was 17.5 minutes, or an average
speed of 40 mph. But when events (traffic incidents and weather) are
present, it could take nearly 25 minutes, or 43 percent longer than
average. Commuters who take State Route 520 corridor must plan for this
unpredictable variability if they want to reliably arrive on time—the
average just won't do.
Figure
ES.3 Weekday Travel Times
5:00-6:00 p.m., on State Route 520
Eastbound, Seattle, Washington

In other words, they have to build in a
buffer to
their trip planning to account for the variability. If they build in a
buffer, they will arrive early on some days. This may not necessarily be
a bad thing, but the extra time is still carved out of their day—time
they could be using for other pursuits besides commuting.
We use this buffer to measure travel time
reliability. Several statistics can be developed from this information,
but we have found the Buffer
Index, to be a particularly useful one. This
is calculated as the extra travel time needed to accomplish a trip 19
times out of 20 chances in relation to the
average
travel time for that trip. In the State Route 520 example, this is: (25
minutes - 17.5 minutes)/17.5 minutes = 43 percent. Tracking changes in
the Buffer Index over time indicates whether reliability is improving or
degrading.
MEASURING RELIABILITY
Because reliability is defined by how travel
times vary over time, it is useful to develop frequency distributions to
see how much variability exists. Calculating the average travel time and
the size of the "buffer"—the extra time needed by travelers to ensure a
high rate of on-time arrival—then helps us to develop a variety of
reliability measures. These measures include the Buffer Index, the
Planning Time, and the Planning Time Index (see Figure ES.4). They are
all based on the same underlying distribution of travel times, but
describe reliability in slightly different ways:
-
Planning Time
– The sheer size of the buffer (the 95th percentile travel time).
-
Planning Time Index
– How much larger the buffer is than the "ideal" or "free flow" travel
time (the ratio of the 95th percentile to the ideal). In the 11.5-mile
long corridor shown, the ideal travel time is 11.5 minutes, assuming
that vehicles will travel at 60 mph when no congestion is present.
-
Buffer Index
– The size of the buffer as a percentage of the average (95th
percentile minus the average, divided by the average).
Figure
ES.4 Distribution of Travel Times, State Route 520 Seattle, Eastbound,
4:00-7:00 p.m. Weekdays (11.5 Miles Long)

WHAT VALUE DOES
PROVIDING RELIABLE TRAVEL TIMES HAVE?
Improving the reliability of travel times
is significant for a number of reasons:
-
Improvements in reliability are
achieved by reducing the overall variability due to the seven
sources of congestion, mainly traffic-influencing events. In other
words, improvement strategies targeted at reliability decrease the
delay due traffic-influencing events (e.g., traffic incidents, bad
weather, and work zones). This produces a double benefit: not only
is reliability improved (by reducing the variability in travel
times) but the total
congestion delay experienced by
travelers is also reduced. The value of saving travel time is very
high for certain types of trips such as those taken by emergency
responders, but just about every traveler realizes value from travel
time savings.
-
Reducing total congestion saves time and
fuel, and leads to decreased vehicle emissions.
-
Addressing three of the major components
of unreliable travel—traffic incidents, bad weather, and work
zones—also leads to safer highways. By reducing the duration of
these events, we are reducing how long travelers are exposed to less
safe conditions.
-
Commuters as well as freight carriers
and shippers are all concerned with travel time reliability.
Variations in travel time can be highly frustrating and are valued
highly by both groups. Previous research indicates that commuters
value the variable component of their travel time between one and
six times as much as average travel time. And the increase in
just-in-time (JIT) manufacturing processes has made a reliable
travel time almost more important than an
uncongested trip. Significant variations in travel time will
decrease the benefits that come from lower inventory space and the
use of efficient transportation networks as "the new warehouse."
Therefore, in both the passenger and freight realms, evidence
suggests that travel time reliability is valued at a significant
"premium" by users.
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Reducing congestion at international
border crossings leads to lower transportation costs and benefits
the national economy as a whole. Further, reducing congestion on
U.S. highways for freight moving between Canada and Mexico fosters
international trade. Therefore, congestion on U.S. highways has a
large influence on the efficiency of international trade.
CONGESTION AND
RELIABILITY TRENDS
Examination of the available data on
congestion and highway usage over the past decade leads to the
conclusion that congestion is getting worse. Highway usage has been
growing at roughly two percent per year and is expected to continue
doing so. On highways that are already congested, any additional
traffic leads to a disproportionately higher amount of congestion—once
traffic flow has broken down to stop-and-go conditions, adding more
vehicles makes recovery very difficult.
Congestion Is Getting Worse
A good source for monitoring congestion
trends is produced annually by the Texas Transportation Institute (TTI).
In their 2005 report, TTI's researchers
found that congestion levels in 85 of the largest metropolitan areas
have grown in almost every year in all population groups from 1982 to
2003. Average urban congestion trends from 1993-2003 include the
following:
-
Peak-period
trips take an average of about seven percent longer.
-
Travelers spend 47 extra hours per year
in travel compared to 40 hours in 1993.
-
The percent of freeway mileage that is
congested has grown from 51 percent to 60 percent.
Congestion has clearly grown. Congestion
used to mean it took longer to get to/from work in the "rush hour." It
used to be thought of as a "big city" issue or an element to plan for
while traveling to special large events. There was some "slower
traffic" in small cities, but it was not much more than a minor
inconvenience. The problems that smaller cities faced were about
connections to and between cities, manufacturing plants, and markets.
Consider the following four
characteristics of congestion trends, as shown in Figure ES.5:
-
Congestion affects
more of the system. You
might encounter stop-and-go traffic on any major street or freeway.
Congestion effects have spread to neighborhoods, where cities and
residents have developed elaborate plans and innovative techniques
to make it harder for commuters to use the streets where kids play
as bypass routes for gridlocked intersections.
-
Congestion affects
more time of the day. We
are not just seeing these problems in the "rush hour." Peak periods
typically stretch for two or three hours in the morning and evening
in metro areas above one million people. Larger areas can see three
or four hours of peak conditions. These are just the average
conditions. Many cities have a few places where any daylight hour
might see stop-and-go traffic. Weekend traffic delays have become a
problem in recreational areas, near major shopping centers or sports
arenas, and in some constrained roadways.
-
The extra travel
time penalty has grown.
It just takes longer to get to your destination. Not just work or
school, but shopping trips, doctor visits, and family outings are
planned around the questions "How long do I want to spend in the
car, bus, or train?" and "Is it worth it?" Peak-period trips
required 37 percent more travel time in 2003 than a free flow trip
at midday, up from 28 percent 10 years earlier.
-
Non-recurring
congestion exerts a greater influence on total congestion.
As the physical capacity of our roadways is consumed by the growth
in traffic we've seen over the past 20 years, they also become more
vulnerable to disruptions caused by traffic-influencing events such
as traffic incidents, bad weather, and work zones. Further, these
events can occur at any time and in places that don't usually
experience congestion, thereby spreading congestion to more roadways
and more times of the day.
Figure
ES.5 Weekday Peak-Period Congestion Has Grown in Several Ways in the
Past 20 Years in Our Largest Cities

Travel
Reliability Is Also Getting Worse
Changes in reliability could be
considered a fourth characteristic of congestion trends. The extra
travel time and amount of the day and system affected by travel
delays is not the same every day. It may not even be as it was
predicted 10 minutes ago.
-
1982
– If your midday trip took 20 minutes, it would take you 23
minutes in the peak. Although no reliability statistics exist from
that long ago, analysis of recent data suggest that you would have
to add an additional nine minutes to that trip to guarantee
on-time arrival at your destination; a total of 32 minutes might
be planned for that trip.
-
2003
– By 2003, that 20-minute free-flow trip took 28 minutes. And if
on-time arrival was important you should allow 40 minutes for the
trip.
Only in the last few years have the data
been available to assess travel time reliability. Atlanta, Georgia
is a city with both a history of detailed traffic monitoring data
and significant congestion. Table ES.1 shows that travel times grew
increasingly unreliable in several highly traveled freeway corridors
over a four-year period. This is indicated by increases in the
Buffer Index; as it rises, travel times become more unreliable.
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Table ES.1 Reliability Statistics,
Atlanta, Georgia
2000-2003 |
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|
Atlanta Freeway
Corridor |
Buffer Index |
|
|
2000 |
2001 |
2002 |
2003 |
|
|
I-75A, NB
(I-285 to I-20, 7.72 miles) |
21% |
29% |
33% |
35% |
|
|
I-75A, SB
(I-20 to I-285, 7.36 miles) |
12% |
22% |
25% |
33% |
|
|
I-75B, NB
(I-20 to I-85 Split, 3.73 miles) |
48% |
59% |
58% |
100% |
|
|
I-75B, SB
(I-85 Split to I-20, 4.04 miles) |
24% |
36% |
32% |
56% |
|
|
I-75C, NB
(I-85 Split to I-285, 8.95 miles) |
30% |
39% |
32% |
35% |
|
|
I-75C, SB
(I-285 to I-85 Split, 9.63 miles) |
13% |
29% |
42% |
50% |
|
|
I-85A, NB
(Camp Creek Parkway to I-75, 4.18 miles) |
6% |
1% |
1% |
3% |
|
|
I-85A, SB
(I-75 to Camp Creek Parkway, 4.05 miles) |
7% |
8% |
5% |
8% |
|
|
I-85B, NB
(I-75 to Jimmy Carter Boulevard, 14 miles) |
22% |
49% |
19% |
23% |
|
|
I-85B, SB
(Jimmy Carter Boulevard to I-75, 13.6 miles) |
41% |
37% |
31% |
34% |
STRATEGIES TO
REDUCE CONGESTION AND IMPROVE RELIABILITY — FOCUS ON OPERATIONS
Transportation engineers and planners
have developed a variety of strategies to deal with congestion.
These fall into three general categories:
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Adding More Base
Capacity – Increasing
the number and size of highways and providing more transit and
freight rail service. This can include expanding the base capacity
(by adding additional lanes or building new highways) as well as
redesigning specific bottlenecks such as interchanges and
intersections to increase their capacity.
-
Operating
Existing Capacity More Efficiently
– Getting more out of what we have.
-
Encouraging
Travel and Land Use Patterns that Use the System in Less
Congestion Producing Ways
– Travel Demand Management (TDM), non-automotive travel modes, and
land use management.
All of these strategies can lead to a
reduction in congestion, but it is operations strategies that have
the most dramatic effect on reliability because they target the
sources of unreliable travel directly. Operations strategies focus
on the traffic-influencing events that both raise the general level
of congestion and increase unreliable travel.
A vast array of strategies are in the
transportation professional's "operations toolbox," most of which
use advanced technology to identify problems, manage traffic flow,
and relay travel conditions to users. Known as Intelligent
Transportation Systems (ITS), these technologies enable
transportation professionals to implement operations strategies
targeted specifically at the causes of unreliable travel:
-
Incident
Management –
Identifying incidents more quickly, improving response times, and
managing incident scenes more effectively;
-
Work Zone
Management – Reducing
the amount of time work zones need to be used and moving traffic
more effectively through work zones, particularly at peak times;
-
Road Weather
Management –
Prediction of weather events (such as rain, snow, ice, and fog) in
specific areas and on specific roadways, allowing for more
effective road surface treatment;
-
Planned Special
Events Traffic Management
– Pre-event planning and coordination and traffic control plans;
-
Freeway,
Arterial, and Corridor Management
– Advanced computerized control of traffic signals, ramp meters,
and lane usage (lanes that can be reversible, truck-restricted, or
exclusively for high occupancy vehicles);
-
Traveler
Information –
Providing travelers with real-time information on roadway
conditions, where congestion has formed, how bad it is, and advice
on alternative routes; and
-
Value Pricing
Strategies –
Proactively managing demand and available highway capacity by
dynamically adjusting the toll paid by users.
FHWA has
strongly promoted operations for improving congestion for several
years in the form of grants, education and outreach, technical
tools, and standards development. State and local transportation
agencies, who are responsible for implementing transportation
improvement projects, have embraced operations as a key part of
their solutions. Operations strategies in the above categories have
been effectively deployed around the country to decrease congestion
and improve reliability. Many deployments include combinations of
strategies, or congestion
relief packages, which have proven to be
more effective than simply deploying individual strategies. Several
of the more significant recent deployments include:
-
Arterial
Management.
Road Commission of Oakland
County (RCOC) FAST-TRAC Project – Advanced Traffic Signal
Coordination. Oakland County, located just
north of Detroit, began implementation of the FAST-TRAC (Faster
and Safer Travel through Traffic Routing and Advanced Controls)
system in 1992. The key element of FAST-TRAC is the Sydney
Coordinated Adaptive Traffic System (SCATS), an advanced adaptive
signal system with the capability to adjust signals on an
individual intersection, corridor, and
areawide basis. The system detects real-time demand on the
highways and continuously adjusts signal timing to meet the
demand. The result is that
FAST-TRAC reduces congestion by eliminating unnecessary stops and
providing green phases where the demand is highest.
-
Freeway
Management and Incident Management.
Wisconsin District 2 Freeway
System Operational Assessment (FSOA) Program – Integrated
Congestion Relief Strategies. During the
1990s Wisconsin DOT's District 2 implemented a freeway management
system in Milwaukee. The freeway management center, field
equipment, and central computer system are known as the MONITOR
system. Expansion continued into the early 2000s until most of the
Milwaukee area's major freeways were covered with detectors along
130 miles of freeway, 18 cameras located at major interchanges, 20
Dynamic Message Signs to communicate with motorists, over 80 ramp
meters, freeway service patrols, and trailblazer systems to aid in
rerouting traffic during traffic incidents, construction, and
other emergencies. The program is coordinated with several other
related efforts including WisDOT's
statewide SmartWays Program and the
Gary-Chicago-Milwaukee Corridor Coalition (GCM).
The ramp meters keep the freeway
operating at steady flow for longer periods of time than otherwise
could be expected. The service patrols and cameras allow for
quicker identification of and response to incidents, a major
source of unreliable travel.
-
Incident
Management.
Maryland's Coordinated
Highway Action Response Team (CHART) – Statewide Traffic Incident
Management. Maryland developed the
Coordinated Highway Action Response Team (CHART) in the mid 1980s
as an effort to improve travel to and from the state's coastal
area. Years later, this system has evolved into a statewide
operations tool that collects,
processes and broadcasts traffic information. Data are collected
through a communications infrastructure, a closed-circuit
television system, and sensor detection system. The information is
then used to make real-time traffic management decisions and
provide motorists with information through dynamic message signs,
radio travel advisories, and a telephone advisory system.
Travelers may also access an interactive on-line GIS mapping
service for major roads to obtain average speed, traffic
conditions, and lane closures due to weather or construction
activities. In addition, travelers can view selected road
conditions through on-line video links.
By reducing the duration of
incidents and providing travelers with advanced warning of their
locations, travel reliability is improved.
-
Corridor
Management, Incident Management, and Traveler Information.
Seattle's Integrated
Operations Programs. The Washington State
DOT has been aggressively pursuing operations-oriented
improvements for many years. An innovative combination of
technology, policies, and resource allocation has provided
travelers in Washington with more reliable travel times, reduced
collisions and more efficient use of the available funding. Key
aspects of the approach include: incident management; ramp
metering; short, selected capacity increases; travel conditions
and commute time information; high-occupancy vehicle lanes and
public transportation facilities; and readily understood
performance measures. As
with the Wisconsin and Maryland projects, aggressive incident
management practices in Seattle reduce the delay caused by
incidents and improve travel reliability.
-
Work Zone
Management, Corridor Management, and Value Pricing.
Houston's Accelerated
Construction of the Katy Freeway – The Systems Approach to
Bottleneck Removal. The Katy Freeway (I-10
West in Houston) expansion project is being constructed using an
innovative combination of construction and financing techniques.
The project, in broad terms, results in a six-year construction
program, (compared to the 12-year original schedule), provides a
four-lane tollway in the middle of an
expanded freeway, improves the aesthetic and landscaping
treatments in the corridor, and rebuilds the existing freeway
pavement and bridges.
Houston's Katy Freeway improvement project highlights an emerging
and highly promising operations strategy:
value pricing of managed lanes.
In this approach, certain travel lanes are set aside for high
occupancy vehicles, toll priced for other vehicles, or both. On the
Katy Freeway, travelers in buses and carpools, currently restricted
to a three-person requirement in the peak hours (2-person
requirement during other hours) due to limited capacity in the HOV
lane, will be able to travel in the free-flow managed lanes. All
travelers will have shorter time periods of congested conditions in
the peak, and should have much less stop-and-go traffic in the
off-peak. The managed lanes will also provide choices—free, but
congested lanes, bus or carpool use of the managed lanes for free or
reduced price, and a premium pay-for-travel system that allows
travelers to determine the importance of their trip and pay for
faster, more reliable travel if they so choose.
PROMISING
OPERATIONS STRATEGIES ON THE HORIZON
In addition to innovative projects that
have already been implemented, a number of even more advanced
technologies and integrated programs are in development. These
programs and technologies offer great promise for addressing
congestion problems in the near future. A review of several such
programs and technologies follows.
iFlorida:
Testbed for the
Next Generation of Operations Strategies.
(Freeway, Arterial, and Corridor Management;
Road Weather Management; and Traveler Information). In March
2003, the Florida Department of Transportation (FDOT) was selected
to participate in a highly innovative model deployment of
operational strategies with FHWA. Named
iFlorida,
this project is based on the idea that advanced operational
strategies require highly detailed traffic condition data over a
wide area. Therefore, the initial stages of the project are to
deploy additional traffic surveillance equipment to augment
FDOT's existing information
infrastructure. Once in place, the infrastructure will be used to
demonstrate the wide variety of advanced operational functions to
enhance traffic flow and improve security, including:
-
Advanced weather information;
-
Security monitoring command and
control;
-
Variable speed limit trial;
-
Roadway diversion information;
-
Statewide and central Florida traveler
information web sites;
-
On-board video surveillance on Orlando
City buses; and
-
Evacuation operations.
Integrated Corridor Management ITS Initiative.
(Freeway, Arterial, and Corridor Management).
Recognizing the importance of maximizing the operational
effectiveness of an entire corridor, the U.S. DOT's ITS program
includes "Integrated Corridor Management" (ICM) Systems as one of
nine Major Initiatives. The basic premise behind the ICM initiative
is that these independent systems and their cross—network linkages
could be operated in a more coordinated and integrated manner
resulting in significant improved operations across the corridor. As
stated in the ICM vision, "metropolitan areas will realize
significant improvements in the efficient movement of people and
goods through aggressive and proactive integration and management of
major transportation corridors." In essence, integrated corridor
management consists of the operational coordination of specific
transportation networks and cross-network connections comprising a
corridor, and the coordination of institutions responsible for
corridor mobility. The goal of the Integrated Corridor Management
Initiative is to provide the institutional guidance, operational
capabilities, and ITS technology and technical methods needed for
effective Integrated Corridor Management Systems. Currently, the ICM
initiative consists of the following four phases:
-
Foundational Research;
-
Operations and Systems Development;
-
Model Deployment; and
-
Knowledge and Technology Transfer.
Clarus
Weather Initiative:
Weather Prediction and Monitoring at the Roadway Level.
(Road Weather Management).
Clarus
(which is Latin for "clear") is an initiative to develop and
demonstrate an integrated surface transportation weather observation
data management system, and to establish a partnership to create a
nationwide surface transportation weather observing and forecasting
system. The objective of
Clarus
is to enable weather service providers to provide enhanced
information to all road, rail and transit managers, and users to
reduce the effects of adverse weather (e.g., fatalities, injuries,
and delay). The
Clarus
Initiative aims to demonstrate how an open, integrated approach to
observational data management can be used to consolidate surface
transportation environmental data. Surface transportation
environmental data assimilated by the
Clarus
system will include atmospheric data, pavement and subsurface data,
as well as hydrologic (water level) data.
NEXT STEPS:
BUILDING THE FOUNDATION FOR EFFECTIVE TRANSPORTATION OPERATIONS
Transportation operations can reduce the
growth of congestion and improve the reliability of travel
conditions for highway users. By directly targeting the sources of
unreliable travel through transportation operations, the chances of
unexpected and extreme congestion are greatly reduced, enabling
travelers to experience more consistent conditions from day-to-day.
Maximizing the potential of transportation operations requires much
more than just deploying advanced technology. Meeting customer
expectations for safe, reliable, and secure transportation services
also requires that planners and system operators coordinate better
so that operations can be strategically planned and deployed; so
that operations data and system information is routinely shared
among system operators, service providers, and transportation
planners; and so that performance is continuously monitored to
provide the feedback necessary to adapt to changing conditions and
properly plan for future demands. These three important aspects of
transportation operations are addressed below.
COORDINATION
BETWEEN PLANNING AND OPERATIONS
The operation of the transportation
system and planning for the transportation system are often two
detached sets of activities with different requirements and
different cultures. Management and operation of the transportation
system typically involves a different set of practitioners with a
short-term or real-time focus, often with little consideration of
how activities relate to a regional transportation systems long-term
goals and objectives. Transportation planning has traditionally
relied upon long-range travel needs, goals for a region, and funding
constraints with little consideration of short-term and ongoing
operational issues. Transportation agencies, metropolitan planning
organizations (MPOs), and other
stakeholders are increasingly recognizing the value of coordination
and collaboration among planners and operators. Although they come
from differing perspectives, transportation planning and operating
agencies generally share the goal of enhancing system performance,
and they can benefit from stronger linkages. The major point is that
while each group has its own priorities,
both planners and
operators need to be involved in all phases of the project
development timeline.
SHARING DATA
EFFECTIVELY: USING OPERATIONS DATA FOR IMPROVED OPERATIONS
Most major metropolitan areas have
advanced technologies deployed to monitor traffic conditions. The
data are used in real-time to identify traffic back-ups, re-time
traffic signals and ramp meters, and for estimating travel times
along highway segments. The data is extremely valuable when stored
and used to develop historic trends. In fact, the highly detailed
nature of the data (typically collected every 20 to 30 seconds at
one-half-mile intervals on freeways) allows transportation operators
to conduct many types of analyses previously unavailable to the
profession. Foremost among these is the estimation of reliability,
which requires continuously collected data in order to build a
sufficient history of how travel conditions vary over time.3
The data also provides the basis for adjusting operations control
strategies such as re-timing signals, deploying additional
equipment, and implementing diversion and evacuation plans.
Data sharing may take several forms. For
example, operations data could be archived for analysis and used in
a number of transportation planning applications, such as
calibration of systems planning models, use in micro-simulation
models, or for performance monitoring of the transportation system.
Effective data sharing can occur in several ways:
-
Develop a regional data clearinghouse;
-
Coordinate data resources with transit
agencies;
-
Use special events to initiate new
data partnerships;
-
Use operations data to develop more
effective performance measures and improve planning analysis
tools; and
-
Use archived data to inform management
and operations planning.
MARKING PROGRESS THROUGH PERFORMANCE
MEASUREMENT
In the last few years, transportation
operators have increasingly embraced the concept of performance
measurement—tracking the trends of key indicators of how the
transportation system is performing. Performance measurement has
been widely used in the private sector as a way to improve delivery
of goods and services to customers and ultimately, the success of
the enterprise. Fundamentally, this is no different from providing
improved transportation services to the public—public agencies are
businesses "selling" transportation service and travelers are the
consumers "buying" them.
Perhaps the most significant lesson from
the review of performance measurement activities over the last two
decades is that all performance measures and measurement systems
have evolved. The changes have been the result of legislative
interests, accountability efforts, new data sources, estimation
procedures, changes in knowledge about traffic conditions, and,
perhaps most importantly, growth in demand for the information once
reports and data are used. Transportation staff and leaders should
experiment with measures, data, and presentation techniques.
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