Emissions Estimation Tool f or El Paso Border Crossings

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Emissions Estimation Tool f or El Paso Border Crossings. Reza Farzaneh, Ph.D., P.E. Josias Zietsman, Ph.D ., P.E. JAC Meeting January 23, 2014. Project Overview. Goal: Developing a MOVES-based emission estimation tool based on real-world border crossing data - PowerPoint PPT Presentation

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Emissions Estimation Tool for

El Paso Border Crossings

JAC MeetingJanuary 23, 2014

Reza Farzaneh, Ph.D., P.E.Josias Zietsman, Ph.D., P.E.

Goal: Developing a MOVES-based emission estimation tool based on real-world border crossing data

• All data from El Paso-Juarez international bridges • A four-step process to achieve the goal of the

study• Easy-to-use spreadsheet-based structure

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Project Overview

Technical Approach

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Step 1. Data Collection ProtocolData collection planData processing methodsQuality control procedures

Step 2. Data Collection GPS data (cars and trucks) Fuel samples (US and Mexico) License plate records (cars and trucks)

Step 3. Data ProcessingNorthbound and southbound tripsFuel characteristicsVehicle classification and ageQuality control

Step 4. Development of Emission Estimation Tool

•OpMode-based emission rates from MOVES•Drive schedules from GPS data•Option to modify inputs for various scenarios•Validation

Preparations Literature review and information collection

Identifying potential data sources

Step 1. Data Collection Protocol• Data collection plan

– Target vehicles: • HDD drayage (source type 61) • LD vehicles (source types 21 & 31)

– Parameters to be collected– Data collection methods– Necessary paperwork and authorizations

• TAMU IRB, U.S. CBP, Texas DPS

• Data processing and quality control procedures– Developed from previous studies– Documented in details in QAAP

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Step 2. Data Collection• Vehicle activity data using GPS technology

– HDD drayage – trucks from a drayage company – Light-duty vehicles – data collection by TTI staff

assigned to different bridges and times of day• Fleet characteristics (vehicle type and age)

– License plate recording (more than 11,000 vehicles)• Fuel characteristics

– 20 samples: 5 for each fuel type/location combination– Sent to SwRI for fuel analysis

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Step 3. Data Processing• Vehicle classification and age distributions

– Texas DMC, Chihuahua’s Recaudador de Rentas, Secretaría de Comunicaciones y Transportes

– Age distribution tables for the target vehicle types– Vehicle type split summary tables

• Fuel characteristics– Fuel tables for MOVES (El Paso and Juarez)

• Vehicle activity– GIS processing to extract sec-by-sec speed profile of border crossing

trips by• Location & Direction• Time of day• Day of week

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Step 3.Border Crossing Trips

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Ysleta-Zaragoza Bridge of the Americas

Step 3.Summary of Trips

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Day of Week Time of Day

Average Speed (mph) Weekday Weekend

Average Max Min Average Max Min

A.M. peak NB 5.9 10.1 2.2 1.9 2.8 0.7 SB 6.4 8.5 4.3 8.6 15.2 5.0

Midday NB 1.5 2.7 0.9 3.4 6.0 0.8 SB 8.7 12.2 4.1 6.7 9.5 4.6

P.M. peak NB 1.4 1.9 0.8 3.1 5.5 1.3 SB 3.0 3.0 3.0 6.6 10.1 2.6

Overnight NB 3.2 8.6 0.8 - - - SB 5.2 10.9 1.1 7.0 10.8 1.3

Day of Week Time of Day

Average Speed (mph) Weekday Weekend

Average Max Min Average Max Min

A.M. peak NB 1.5 2.2 0.9 - - - SB 8.4 13.1 5.5 - - -

Midday NB 2.1 5.1 0.7 1.6 2.2 1.2 SB 7.4 15.1 2.0 4.6 6.9 3.3

P.M. peak NB 1.5 2.7 0.8 1.1 1.4 0.7 SB 3.8 5.1 2.7 3.4 3.6 3.2

Overnight NB 0.9 0.9 0.9 - - - SB 7.1 15.5 2.3 - - -

BO

TA -

Lig

ht D

uty

BO

TA -

Hea

vy D

uty

Step 3.Age Distributions

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Passenger Passenger Freight Passenger Passenger Freight

Cars Trucks Trucks Cars Trucks Trucks23.60% 12.90% 6.90% 23.10% 16.80% N/A27.50% 25.50% 13.40% 33.40% 38.70% N/A31.70% 37.20% 38.00% 26.00% 30.10% N/A13.50% 18.60% 33.80% 9.10% 10.20% N/A2.90% 4.10% 5.70% 2.70% 2.60% N/A0.60% 1.80% 1.80% 5.80% 1.60% N/A

6 - 1011 - 1516 - 2021 - 25

25+

Mexican Vehicles US Vehicles(Registered in Mexico) (Registered in the U.S.A.)

Age Group

0 - 5

Step 4. Building Estimation Tool (1)

• Structure independent from data– Easy to update

• MOVES-based calculations– Vehicle activity: operating mode (opMode) bins– Emission rates: rates for each opMode bin

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Step 4. Building Estimation Tool (2)

• High level of flexibility• Standalone Excel-based• Input parameters by direction and vehicle location

– Traffic volume– Speed– Time of day traffic distribution– Vehicle age profile

• Default values based on collected data– Age distributions and vehicle activity profiles– User can modify these parameters

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Step 4.Border Crossing Emission Estimation Tool

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Vehicle Origin:

Time of Day:

Vehicle Type:

RESULTS

View results for…

Calculate Results Export Results

Analysis Years (up to 5):

Run ID (optional): CaseStudy02_DrayageRepalcement

Border-CrossingEmissions Estimating Tool

Border-Crossing: El Paso -- Ciudad Juarez

Vehicle Type 2010 2015 None

Passenger Cars: 14,000 12,000 11,000 10,000 8,000

Passenger Trucks: 14,000 12,000

US Vehicles (Registered in the U.S.A.) and Mexican Vehicles (Registered in Mexico)*

None None

2,500 2,200 2,000

11,000 10,000 8,000

Freight Trucks: 3,500 2,800

Average Daily Traffic (vehicles per day):

321

Enter separate data for US and Mexican vehicles?

SOUTHBOUND INPUTS

* The entered data are split 50/50 between US and Mexican vehicles

Northbound Inputs >>

Case Study Application (1)

• Case study 1: future projections

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Case Study Application (2)

• Case study 2: drayage truck replacement

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Thank You!Reza Farzaneh, Ph.D., P.E.Tel. (512) 407-1118Reza.Farzaneh@tamu.edu

Josias Zietsman, Ph.D., P.E.Tel. (979) 458-3476Zietsman@tamu.edu

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