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Applying Analysis Tools in Planning for Operations -

Case Study #4 – Application of Microsimulation in Combination With Travel Demand Models

Foreword

Notice

This document is disseminated under the sponsorship of the U.S. Department of Transportation in the interest of information exchange. The U.S. Government assumes no liability for the use of the information contained in this document. This report does not constitute a standard, specification, or regulation.

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Quality Assurance Statement

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Technical Report Documentation Page

1. Report No.

FHWA-HOP-10-005

2. Government Accession No.

3. Recipient’s Catalog No.

4. Title and Subtitle

Applying Analysis Tools in Planning for Operations:

Case Study #4 – Application of Microsimulation in Combination With Travel Demand Models

5. Report Date

 

6. Performing Organization Code

7. Author(s)

Richard Dowling, Allen Huang, and Kym Sterner, Dowling Associates; Krista Jeannotte, Cambridge Systematics

8. Performing Organization Report No.

9. Performing Organization Name and Address

Dowling Associates, Inc.               
280 Grand Avenue, Suite 250       
Oakland, CA 94612                        

Cambridge Systematics, Inc.
555 12th Street, Suite 1600
Oakland, CA 94607

10. Work Unit No.

11. Contract or Grant No.

DTFH61-05-C-00036

12. Sponsoring Agency Name and Address

Department of Transportation
Federal Highway Administration
U.S. Department of Transportation
1200 New Jersey Avenue, SE
Washington, DC 20590

13. Type of Report and Period Covered

14. Sponsoring Agency Code

 

15. Supplementary Notes

FHWA COTR:  Wayne Berman, Office of Operations; John Halkias, Office of Operations; and Richard Backlund, Office of Operations

16. Abstract

More and more, transportation system operators are seeing the benefits of strengthening links between planning and operations. A critical element in improving transportation decision-making and the effectiveness of transportation systems related to operations and planning is through the use of analysis tools and methods. This brochure is one in a series of five intended to improve the way existing analysis tools are used to advance operational strategies in the planning process. The specific objective of developing this informational brochure series was to provide reference and resource materials that will help planners and operations professionals to use existing transportation planning and operations analysis tools and methods in a more systematic way to better analyze, evaluate, and report the benefits of needed investments in transportation operations. 

The main problem of interfacing travel demand models with microsimulation models is that the demands produced by demand models are not as capacity constrained as they need to be for use in microsimulation models. The result is that the microsimulation model produces unrealistic facility performance estimates when it is given unrealistic calibration year and future year demands. The solution is to adjust the travel demand model demands to more realistic levels that reflect the physical limitations of the network. This brochure describes two case studies for applying simulation models in combination with travel demand models: 1) the traditional approach performing these adjustments outside of the travel demand model; and 2) an advanced approach that makes many of the demand adjustments within the demand model.

17. Key Words

analysis tools, planning for operations, travel demand modeling, microsimulation

18. Distribution Statement

 

19. Security Classif. (of this report)

Unclassified

20. Security Classif.
(of this page)

Unclassified

21. No of Pages

21

22. Price

na

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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