Multi-Resolution Modeling

Texas A&M Transportation Institute
4050 Rio Bravo Drive
Suite 212
El Paso, TX 79902
(915) 521-8106
[email protected]

Jeff Shelton is a Senior Research Scientist for the Texas A&M Transportation Institute (TTI) and serves as the Division Head for the El Paso/San Antonio Research & Implementation Division and Program Manager for the Multi-Resolution Modeling program. His career experience includes leadership roles in the areas of network-wide simulation modeling, simulation of connected vehicles and transportation system management and operations, integrated corridor management and large-scale dynamic simulation. His primary duties include network traffic simulation modeling utilizing mesoscopic & microscopic traffic simulation software. Dr. Shelton is considered a leading expert in multi-resolution modeling and has developed tools that integrate regional mesoscopic simulation models with high fidelity microscopic counterpart models. He has applied this ground-breaking methodology in several successful applications including modeling of the El Paso/Juárez region and how extreme events impact cross-border traffic, strategies that manage freight in urban areas and is currently researching the impacts and challenges of technology on travel demand. Dr. Shelton is currently assisting the Los Alamos National Laboratory with a host of transportation operations including improved traffic control, capacity improvements, traffic implications from roadway construction, parking management and safety. He is also assisting the Texas Department of Transportation in supply management due to roadway improvements for Laredo, El Paso and Midland/Odessa. Dr. Shelton is developing a binational model of the El Paso/Juarez region in Dynamic Traffic Assignment format. In the past, he has led a project that addressed the future uncertainty of travel demand by developing AV/CV deployment scenarios on the heavily congested I-35 corridor in Austin, Texas. He has worked on projects funded by the Department of Energy to determine the impacts of mobile phone routing applications on fuel efficiency. He developed a methodology to rank transportation projects using multiple criterial decision-making and is a member of the International Society on MCDM.