With the use of historical and current real-time data, researchers have developed statistical prediction models that are being used to determine how long it will take for commercial vehicles to cross the Texas-Mexico border. The prediction model project has its roots in the 2009 installation of radio frequency identification (RFID) technology devices at the Bridge of the Americas. The devices measure wait and crossing times for commercial vehicles. As of July 2014, RFID readers are supplying the wait- and crossing-time data from seven ports of entry (POEs) and that data is used at the Border Crossing Information System (BCIS) website, located at http://bcis.tamu.edu/Commercial/en-US/index.aspx. Because each POE is unique, researchers customized algorithms and performed sensitivity analysis in order to fine-tune the accuracy of the prediction models. As a result of this project, the crossing times used on the BCIS website are forecast up to one hour in advance. Separately, researchers are building a prototype web dashboard designed to test the quality of their prediction models. For more information contact Don Kang at (979) 317-2465 or [email protected].