Results and Lessons-Learned from the 2016 Dallas-Ft

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Presentation transcript:

Results and Lessons-Learned from the 2016 Dallas-Ft Results and Lessons-Learned from the 2016 Dallas-Ft. Worth New Technology O-D Study Texas A&M Transportation Institute Ed Hard, TTI Arash Mirzaei, North Central Texas Council of Governments TRB National Transportation Planning Applications Conference Tuesday, May 16, 2017 Research Sponsored by:

Study Area and Overview External O-D study using cell, GPS, and Bluetooth data North Central Texas Council of Governments (NCTCOG), 13-county Dallas-Ft. Worth modeling region Broader study area covers about 10,000 square miles, over 48 counties with close to 9 million residents.

Base Data Bluetooth readers at 50 locations Cellular (Airsage) 300,000 reads, 20,400 matches (unexpanded) Cellular (Airsage) 33.2 million weekday trips GPS (INRIX) 29 million trips (82% Truck, 8% Car) 1.6 billion waypoints

Methodology – Cell Data External stations determined using Select Link Analysis with a detail coded external and internal highway network Select Link allowed objective determination of probable routes. DFW – External Traffic Assignment of Cell Data

External Trip Generation per Track

Methodology - GPS Data No Trip ID 1 Yes Trip ID 2 GPS Data filtered using an AWS instance of PostgreSQL/PostGIS and Elastic Map Reduce (Hadoop/Spark) Custom route matching algorithm matches 99% of external trips to an external station – using a 3 feature KNN search Frontage Local Main

GPS External to External Travel Times

Preliminary Results Data E-E E-I/I-E GPS Cars 7.4% 92.7% GPS Trucks Cellular Data Data E-E E-I/I-E GPS Cars 7.4% 92.7% GPS Trucks 13.0% 87.0% GPS Total 8.8% 91.2% Cellular 7.6%* 92.5%* Bluetooth 6.8% GPS Data * Based on 24-hour period

Findings/Lesson’s Learned Findings consistent with previous studies, such as TMIP Guidebook Cell and GPS needed to develop external data Agencies need to invest in technical resources and professionals to analyze passive data In-house, in-depth understanding of data critical Just scratching surfaces of data value/uses

Acknowledgments and Special Thanks! Bill Knowles Janie Temple Christeen Pusch Byron Chigoy Michael Martin Steve Farnsworth Bill King Vijay Sivaraman Rick Schuman Ted Trepanier