Data Science and Visualization Division

Making transportation data make sense from origin to destination.

What we do

Listen and Investigate 

We get that data can be hard. That’s why we are constantly scanning for new and innovative data sources and methods that can bring deeper insight to tough transportation problems. 

Evaluate and Iterate 

Obtaining an accurate view of a problem requires quality data. We use the best data available through thorough evaluation and iterative collaboration with data providers. Our focus on data quality assurance and quality control research and techniques ensures the data meet our high standards. 

Innovate to Solve Problems 

We find new ways to simplify, understand, and solve complex transportation problems, so we can then translate theory into actionable insights for everyone.

Analyze and Produce 

We fuse and analyze data and information using a broad spectrum of methodologies and innovative approaches. Our goal is to produce actionable, timely, and usable information that broadens the planning and decision-making discussion.

Share and Inform 

We want to ensure the world has the best information to make informed transportation planning decisions. So, we work to make data accessible and digestible to all audiences in a way that makes big data seem small

Our focus areas

Finding and compiling the best possible data.

Data Wrangling and Fusion
Data Wrangling and Fusion

New technology offers new data opportunities.

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Connected Vehicle Data

Ensuring the best data are used.

Data Evaluation

Spatially aligning networks to work together.

Spatial Analysis and Conflation

The bridge between theory and application.

Data Analytics

The language of data: intuition to evidence.

Statistics
Statistics

Technology and researchers working together.

AI/Machine Learning

From design to deployment.

Web Applications

Making data make sense.

Visualization

our team

Phil Lasley.

Data Science and Visualization

Phil Lasley, Ph.D., AICP, PMP
Research Scientist
Division Head
(512) 407-1113
[email protected]

Pete Koeneman.

Data and Spatial Analytics

Pete Koeneman
Research Data Scientist
Program Manager
(979) 317-2479
[email protected]

L.D. White.

Visual Analytics

L.D. White
Research Data Scientist
Program Manager
(979) 317-2249
[email protected]

Reach Us

Phil Lasley

Division Head
(512) 407-1113
[email protected]

Physical Address

Texas A&M Transportation Institute
1111 RELLIS Parkway
Bryan, Texas 77807

Mailing Address

Texas A&M Transportation Institute
3135 TAMU
College Station, Texas 77843-3135