getting on the moves: using dynameq and the us epa moves model to measure the air pollution...

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Getting on the MOVES: Using Dynameq and the US EPA MOVES Model to Measure the Air Pollution Emissions TRPC – Smart Corridors Project Chris Breiland Fehr & Peers September 16, 2011

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Getting on the MOVES: Using Dynameq and the US EPA MOVES Model to Measure the Air Pollution

Emissions

TRPC – Smart Corridors Project

Chris BreilandFehr & Peers

September 16, 2011

Outline

• Project Overview, Background and Objectives

• Dynameq Model Development

• Estimating Air Pollution Emissions

• Motor Vehicle Emission Simulator (MOVES)

• Comparison

• Conclusions• Q&A

• TRPC - intergovernmental board made up of local government jurisdictions

• County area - 727 sq miles population - 245,300

• The county’s population is expected to be 373,000 in 2030

• The county is the home of the State’s Capitol, City of Olympia

Overview

Project Background

• Congestion Mitigation and Air Quality (CMAQ) grant

• Options to reduce PM10 through ITS deployment– coordinated signal timing and optimization– transit signal priority (TSP)

• Two strategic corridors were chosen from the Regional Transportation Plan (RTP) that are problematic for Intercity Transit’s on-time performance goals

Study Corridors

• To improve multi-modal transportation operations on the two corridors

• To evaluate signal coordination and optimization

• To evaluate transit signal priority options

• To reduce PM10 (particulate matter) emissions in the corridors.

Project Objectives

• NETWORK– Entire network brought into DTA model from EMME Travel Demand

Model– Refined the Dynameq network to add missing intersections on the

corridors– Modified all centroid connectors for the zones around two corridors to

reflect field conditions– Verified link attributes– Network properties in DTA model: – 800 centroids – 2,500 regular nodes – 8,000 links – 20 transit lines

• TRIP TABLES– Trip tables brought from EMME Travel Demand Model– The modes are SOV, HOV & Truck

Model Development

Model Development

• INTERSECTION CONTROLS– Focused on corridors and a several-block buffer– 81 signals & 67 stop controlled intersections

• INTERSECTION GEOMETRY– Approaches to the intersections were modified to

reflect field conditions– Added right and left turn lane pockets where needed

Model Development

• Validation / Calibration

– Validated and calibrated the existing year model (study corridors and I-5 primarily) •Based on link counts

•Based on turn move counts

•Based on travel time on corridors

– Queuing at hot spots

Model Validation

Air Pollution Emissions and Model Detail

• Air Pollution Highly Sensitive to:

• VMT

• Speed

• Vehicle Type

• Drive Cycle

• DTA versus Static Models

How are Emissions Estimated?

• Air Quality Analysis tools – EMFAC, Mobile6, MOVES

Motor Vehicle Emission Simulator (MOVES)

• State-of-art tool for estimating emission from highway vehicles developed by US Environmental Protection Agency (EPA)

• Highly detailed

• Perfect for Dynameq

MOVES Input Data

Data needs from Dynameq DTA Model

• Link

MOVES Input Data

Data needs from Dynameq DTA Model

• Fleet Mix

Source Type ID Source Type Name

11 Motorcycle

21 Passenger Car

31 Passenger Truck

32 Light Commercial Truck

41 Intercity Bus

42 Transit Bus

43 School Bus

51 Refuse Truck

52 Single Unit Short-haul Truck

53 Single Unit Long-haul Truck

54 Motor Home

61 Combination Short-haul Truck

62 Combination Long-haul Truck

MOVES Input Data

Data needs from Dynameq DTA Model

• Operating Mode Distribution

– for each link, source type and pollutant

opModeID opModeName

0 Braking

1 Idling

11 Low Speed Coasting; VSP< 0; 1<=Speed<25

12 Cruise/Acceleration; 0<=VSP< 3; 1<= Speed<25

13 Cruise/Acceleration; 3<=VSP< 6; 1<=Speed<25

14 Cruise/Acceleration; 6<=VSP< 9; 1<=Speed<25

15 Cruise/Acceleration; 9<=VSP<12; 1<=Speed<25

16 Cruise/Acceleration; 12<=VSP; 1<=Speed<25

21 Moderate Speed Coasting; VSP< 0; 25<=Speed<50

22 Cruise/Acceleration; 0<=VSP< 3; 25<=Speed<50

23 Cruise/Acceleration; 3<=VSP< 6; 25<=Speed<50

24 Cruise/Acceleration; 6<=VSP< 9; 25<=Speed<50

25 Cruise/Acceleration; 9<=VSP<12; 25<=Speed<50

26 Cruise/Acceleration; 12<=VSP; 25<=Speed<50

27 Cruise/Acceleration; 12<=VSP<18; 25<=Speed<50

28 Cruise/Acceleration; 18<=VSP<24; 25<=Speed<50

29 Cruise/Acceleration; 24<=VSP<30; 25<=Speed<50

30 Cruise/Acceleration; 30<=VSP; 25<=Speed<50

33 Cruise/Acceleration; VSP< 6; 50<=Speed

35 Cruise/Acceleration; 6<=VSP<12; 50<=Speed

36 Cruise/Acceleration; 12 <= VSP; 50<=Speed

37 Cruise/Acceleration; 12<=VSP<18; 50<=Speed

38 Cruise/Acceleration; 18<=VSP<24; 50<=Speed

39 Cruise/Acceleration; 24<=VSP<30; 50<=Speed

40 Cruise/Acceleration; 30<=VSP; 50<=Speed

OpMode

Uh-oh!

OpMode

Uh-oh!

New Component for Dynameq to Extract the Necessary MOVES Input Data

OpMode

•300,000 rows

Emissions Calculation Comparisons

 

2010 Base

VMT PM 10 (g) CO2 (g)

EMME + EMFAC

25,210 1,309 12,420,539

EMFAC

30,029

2,224 17,883,106

Mobile6 1,282 16,591,022

MOVES 997 17,051,387

Concluding Thoughts

• MOVES is new standard

• MOVES is built for a tool like Dynameq

• INRO Dynameq-MOVES component enables analysis

• MOVES very difficult to run

Thank You!

Chris Breiland

[email protected]