NATMECJUNE 5, 2012DALLAS, TEXAS

Improving MPO Decisions With Better Data:Examples in Dallas-Fort Worth

Michael Morris, P.E.Director of Transportation

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Analytical Policy Development

Data

Analytical Methodology

Performance Measures on Policy Options

Elected Officials Selection

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5 Keys to Success

Data Plan Impact Decisions Sustainable Over Time Leverage Programs Expand Analytics through Computer

Applications

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Travel Models

“Keys to Success”EstimationCalibrationValidation

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Records 2,457,123

Locations 42,985

Daily counts 83,009

Traffic Counts

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Roadway Safety –Limited Access Facilities

5,635 Signals

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Regional Traffic Signal Retiming Program

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10% Reduction in Travel Time

20% Reduction in Number of Stops

15% Reduction in Emissions (CO, NOx, and VOC)

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Cockrell Hill at I-30 – Photo taken in 2000

Cockrell Hill at I-30 – Photo taken in 2004

Cockrell Hill Interchange ExampleCompletion Date 2001

Project Cost $16.2 million

Developing employment nodes in low income areas reduces vehicle miles traveled by older vehicles and improves air quality.

Increase in Total Value1999 - $4.8 million

2004 - $193.4 million

Sustainable Development:Cockrell Hill Interchange

Today – 6,000 jobs

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Congested Corridors

Severity of Congestion

Identify Bottlenecks

Focus Additional Analysis

Morning Observed Congestion (6:30 am to 9:00 am)

Transfer Data Source to Navigational Data

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Freight Data Types

Traffic counts Commodity flows (Freight Analysis

Framework, Ver. 3) Waybill sample (Surface Transportation Board) Census economic data Foreign Trade Zone Board data Intermodal transactions (lifts) Commodity value (Freight Analysis

Framework, Ver. 3)

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Transportation DepartmentNorth Central Texas

Council of Governments

RailVolumes - 2025

Legend

Rail

Freight Rail Volume (trains per day)

MPA Boundary

Counties

76 - 125

01 - 12

13 - 25

26 - 38

39 - 50

51 - 75

Tower 55 Signal Occupancy

1509

4204

0

1440

2880

4320

Current 2025

Min

ute

s O

ccu

pie

d

24 hours

48 hours

72 hours

Tower 55

TRE

TOWER 55 RAIL RELIEVER STUDY

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Change in Average Speed

Lane Phase 1 Phase 4Phase 1 vs.

Phase 4

Left 71.5 72.38 0.88

Middle 65.63 66.19 0.56

Right 60.75 61.25 0.5

Truck Lane Pilot Study(Side-Fire Radar)

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Planning/GIS analysis to determine percentage of transactions

County Allocation

36% 34% 20% 1% 1% 8%

Toll Revenue

Allocations

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Innovative Finance Initiative(similar to Transportation Reinvestment Zones)

Sale price Appraised value Size (acres) Land use Zoning class Access Tax rate

City County Other district

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Creative Uses ofVehicle Registration Data

Validate Ramp

Volume Origin

Locations

Video Footage of A.M. Peak

Ramp License Plates

Computer A.M. Peak “Selected

Link Analysis”