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Data Mining and Gap Analysis for Weather Responsive Traffic Management Studies
Foreword
Technical Report Documentation
Page
1.
Report No.
FHWA-JPO-11-037 |
2.
Government Accession No.
|
3.
Recipient’s Catalog No. |
4.
Title and Subtitle
Data Mining and Gap Analysis
for Weather Responsive Traffic Management
Studies |
5.
Report Date
December 2010 |
6. Performing Organization
Code |
7.
Author(s)
Daniel Krechmer, Hesham
Rakha, Mark Howard, Weimin Huang, Ismail
Zohdy, |
8.
Performing Organization Report No. |
9.
Performing Organization Name and Address
Cambridge Systematics, Inc.
4800 Hampden Lane, Suite 800
Bethesda, MD 20814
Virginia Tech Transportation Institute
3500 Transportation Research Plaza (0536)
Blacksburg, VA 24061 |
10.
Work Unit No. |
11.
Contract or Grant No.
DTFH61-06-D-00004 |
12.
Sponsoring Agency Name and Address
Research and Innovative Technology
Administration
U.S. Department of Transportation
1200 New Jersey Avenue, NE
Washington, DC 20590 |
13.
Type of Report and Period Covered
Guidelines |
14.
Sponsoring Agency Code
|
15. Supplementary
Notes
COTM’s for FHWA are C. Y. David
Yang and Roemer Alfelor. |
16. Abstract
Weather causes a variety of impacts
on the transportation system. An Oak
Ridge National Laboratory study estimated
the delay experienced by American drivers
due to snow, ice, and fog in 1999 at
46 million hours. While severe winter
storms, hurricanes, or flooding can
result in major stoppages or evacuations
of transportation systems and cost millions
of dollars, the day-to-day weather events
such as rain, fog, snow, and freezing
rain can have a serious impact on the
mobility and safety of the transportation
system users. Despite the documented
impacts of adverse weather on transportation,
the linkages between inclement weather
conditions and traffic flow in existing
analysis tools remain tenuous. This
is primarily a result of limitations
on the data used in research activities.
The overall goal of this research was
to identify gaps in the data necessary
to develop weather responsive traffic
management studies. Activities conducted
to achieve this included 1) A comprehensive
search and documentation of traffic
and weather data in the United States
and abroad that could be used for WRTM;
2) surveys, phone calls and site
visits with organizations that have
suitable traffic data on inclement weather;
3) identification of critical gaps
in regards to the collection and processing
of traffic data on inclement weather
conditions; and 4) recommendation
of strategies for gathering and processing
data that will be used in WRTM studies.
The study found that there are a number
of useful research efforts underway
both domestically and internationally
that are yielding useful data for WRTM
analysis. In some cases the scopes are
limited and confidentiality issues were
found in a number of European studies.
There is increasing availability of
quality traffic and weather data being
generated by transportation and public/private
weather information sources in the U.S.
The analysis conducted for this project
found that this data can be helpful
in identifying adverse weather impacts
on speed and lane usage. The report
recommends that FHWA work closely with
agencies as they expand their RWIS to
assure that weather data is of adequate
quality for WRTM analysis. FHWA also
should continue to fund specific research
and evaluation activities in conjunction
with the Integrated Corridor Management
Program or other WRTM initiatives. |
17.
Key Words
Weather, traffic flow,
traffic management, statistical analysis |
18.
Distribution Statement
No Restrictions. |
19.
Security Classif. (of this report)
Unclassified |
20.
Security Classif. (of this page)
Unclassified |
21.
No of Pages
149 |
22.
Price
N/A |
Form DOT F 1700.7
(8-72) Reproduction
of completed pages authorized
Metric Conversion Factors
(International System of Units)
APPROXIMATE CONVERSIONS
TO SI UNITS |
SYMBOL |
WHEN YOU KNOW |
MULTIPLY BY |
TO FIND |
SYMBOL |
LENGTH |
in |
inches |
25.4 |
millimeters |
mm |
ft |
feet |
0.305 |
meters |
m |
yd |
yards |
0.914 |
meters |
m |
mi |
miles |
1.61 |
kilometers |
km |
AREA |
in2 |
square
inches |
645.2 |
square
millimeters |
mm2 |
ft2 |
square
feet |
0.093 |
square
meters |
m2 |
yd2 |
square
yard |
0.836 |
square
meters |
m2 |
ac |
acres |
0.405 |
hectares |
ha |
mi2 |
square
miles |
2.59 |
square
kilometers |
km2 |
VOLUME |
fl
oz |
fluid
ounces |
29.57 |
milliliters |
mL |
gal |
gallons |
3.785 |
liters |
L |
ft3 |
cubic
feet |
0.028 |
cubic
meters |
m3 |
yd3 |
cubic
yards |
0.765 |
cubic
meters |
m3 |
NOTE:
volumes greater than 1000 L shall be
shown in m3 |
MASS |
oz |
ounces |
28.35 |
grams |
g |
lb |
pounds |
0.454 |
kilograms |
kg |
T |
short
tons (2000 lb) |
0.907 |
megagrams
(or "metric ton") |
Mg (or
"t") |
TEMPERATURE
(exact degrees) |
oF |
Fahrenheit |
5
(F-32)/9
or (F-32)/1.8 |
Celsius |
oC |
ILLUMINATION |
fc |
foot-candles |
10.76 |
lux |
lx |
fl |
foot-Lamberts |
3.426 |
candela/m2 |
cd/m2 |
FORCE
and PRESSURE or STRESS |
lbf |
poundforce |
4.45 |
newtons |
N |
lbf/in2 |
poundforce
per square inch |
6.89 |
kilopascals |
kPa |
APPROXIMATE CONVERSIONS
FROM SI UNITS |
SYMBOL |
WHEN YOU
KNOW |
MULTIPLY
BY |
TO FIND |
SYMBOL |
LENGTH |
mm |
millimeters |
0.039 |
inches |
in |
m |
meters |
3.28 |
feet |
ft |
m |
meters |
1.09 |
yards |
yd |
km |
kilometers |
0.621 |
miles |
mi |
AREA |
mm2 |
square
millimeters |
0.0016 |
square
inches |
in2 |
m2 |
square
meters |
10.764 |
square
feet |
ft2 |
m2 |
square
meters |
1.195 |
square
yards |
yd2 |
ha |
hectares |
2.47 |
acres |
ac |
km2 |
square
kilometers |
0.386 |
square
miles |
mi2 |
VOLUME |
mL |
milliliters |
0.034 |
fluid
ounces |
fl
oz |
L |
liters |
0.264 |
gallons |
gal |
m3 |
cubic
meters |
35.314 |
cubic
feet |
ft3 |
m3 |
cubic
meters |
1.307 |
cubic
yards |
yd3 |
MASS |
g |
grams |
0.035 |
ounces |
oz |
kg |
kilograms |
2.202 |
pounds |
lb |
Mg
(or "t") |
megagrams
(or "metric ton") |
1.103 |
short
tons (2000 lb) |
T |
TEMPERATURE
(exact degrees) |
oC |
Celsius |
1.8C+32 |
Fahrenheit |
oF |
ILLUMINATION |
lx |
lux |
0.0929 |
foot-candles |
fc |
cd/m2 |
candela/m2 |
0.2919 |
foot-Lamberts |
fl |
FORCE
and PRESSURE or STRESS |
N |
newtons |
0.225 |
poundforce |
lbf |
kPa |
kilopascals |
0.145 |
poundforce
per square inch |
lbf/in2 |
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