Intelligent Transportation Systems
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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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