Emissions Estimation Tool for El Paso Border Crossings JAC Meeting January 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 2 Project Overview

Technical Approach 3 Step 1. Data Collection Protocol  Data collection plan  Data processing methods  Quality 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 Processing  Northbound and southbound trips  Fuel characteristics  Vehicle classification and age  Quality 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 4

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 5

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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 7

Step 3. Border Crossing Trips 8 Ysleta-Zaragoza Bridge of the Americas

Step 3. Summary of Trips 9 BOTA - Light Duty BOTA - Heavy Duty

Step 3. Age Distributions 10

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 11

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 12

Step 4. Border Crossing Emission Estimation Tool 13

Case Study Application (1) Case study 1: future projections 14

Case Study Application (2) Case study 2: drayage truck replacement 15

16 Thank You! Reza Farzaneh, Ph.D., P.E. Tel. (512) Josias Zietsman, Ph.D., P.E. Tel. (979)