Truck Parking Panel Discussion P25-21142 Chris Eaves Autonomous Delivery Vehicles Acceptance: The Moderating Role of Perceived Risk of Theft P25-21106 Arsalan Esmaili Mining of Heavy-Duty Truck Activity Patterns Using Natural Language Processing Techniques TRBAM-25-02063 Zhengtao Qin A Novel Approach for Reconstructing Freight Trips of Heavy-Duty Truck Using Operational Logic TRBAM-25-02064 Zhengtao Qin Container Trailer Stop Identification of Freight Enterprises Based on Transportation Management Services of The Entire Logistics Process TRBAM-25-02065 Zhengtao Qin

AI for Tracking Curbside Conflicts in Last-Mile Deliveries TRBAM-25-04046 Anne Goodchild Improving Autonomous Vehicle Crash Data by Data Mining and AI Tools TRBAM-25-04418 Arsalan Esmaili Seattle: Curb Data and Digital Infrastructure P25-20811 Mary Catherine Snyder The Impacts of Curb Space Allocations on Cruising-for-Parking Emissions in a Simulated Environment TRBAM-25-05866 Tom Maxner

Decarbonization of Trucking for Freight-Heavy Industries: Reclassify Truck Trip Patterns Considering Carbon Emissions TRBAM-25-03159 Anne Goodchild and Zhengtao Qin

Artificial Intelligence and data analysis have the potential to help the transportation system better reach its goals of providing safe and efficient ways to move people and goods. The DATA conference will bridge the gap between the data, cutting-edge technologies, and computing processes and the challenges and opportunities for organizations and agencies to incorporate these into their workflow. Presenters will emphasize concrete outcomes and examples of advancing AI and data analysis within the transportation industry and highlight practical solutions and...