Development of a Short-Term Prediction Model for Commercial Vehicle Crossing Times

Project Description

Commercial vehicle crossings at the U.S.-Mexico and U.S.-Canada borders play an important role in the local and regional economies. Freight shippers and carriers use the predicted crossing times as part of their pre-trip information to plan a trip from origin to destination. This project created a tool to help shippers and freight carriers make smart route-choice decisions by providing predicted crossing times at the U.S.-Mexico border.

From the given conditions of radio frequency identification (RFID) border crossing data, a structured procedure to predict border crossing times of commercial trucks within a short range of time was developed based on statistical models. Currently, RFID reader systems that measure northbound crossing times of commercial vehicles are being implemented throughout the ports of entry along the U.S.-Mexico border. The Texas Transportation Institute plans to improve the reliability of the developed system. A third sensor will be placed at the Bridge of the Americas, and this sensor will improve the performance of the reading system and the forecasting algorithm. After placement of the third sensor, the current procedure will be readjusted to exploit the additional information for better forecasting.

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Link: Final Report

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