— behavioral analysis — DATA ANALYSIS — sustainable Solutions — optimization
Urban Freight Transportation
RESEARCH FOCUS
Autonomous Truck Acceptance Simulation
This study examines how information about Autonomous Trucking (AT) regulations and benefits influences drivers’ acceptance, trust, and support for AT technologies. Using a driving simulation, participants experienced highway interactions with autonomous and manual vehicles under different information conditions. Findings provide insights into how exposure to information and real-world-like interactions shape public perceptions of autonomous trucking.
This project is currently work in progress
For more information, please contact the graduate student associated with this project
Assessing the Potential of Geotab’s Altitude Data for Urban Freight and Mobility Insights
This collaboration between Georgia Tech and Geotab evaluates how Geotab’s Altitude data can identify freight and service vehicle patterns in the Atlanta region. As a proof of concept, the project tests how Altitude data supports use cases like congestion analysis, curbside management, and freight flow dynamics. It also integrates complementary datasets to enhance insights and explores opportunities for co-development and innovation between academia and industry.
This project is currently work in progress
For more information, please contact the graduate student associated with this project
Integrating Weight-in-Motion with Vehicle and Land-Use Data Sources to Characterize Freight Truck Patterns and Optimize WIM Site Placement
The objective of this research is to support Georgia Department of Transportation (GDOT) in enhancing its freight monitoring capabilities by evaluating the effectiveness of its existing weigh-in-motion (WIM) network and assessing the potential of integrating multiple data sources to inform future WIM site placement.
This project is sponsored by the Georgia Department of Transportation with project number 01963143. You may find more information here.
For more information, please contact the graduate student associated with this project