Project Summary
The Improving Truck Counts in California Project will expand operations of the Truck Activity Monitoring System (TAMS). A subset of the existing sites will be selected for full lane-coverage expansion to ensure that all trucks are captured at those locations. In addition, this study will explore the fusion of advanced traffic sensor technologies to develop a transfer learning framework to enhance the performance of legacy classification models. This investigation has the potential to provide a better understanding of truck trip patterns by industry, which can further validate the truck trip matrices and route assignment of the California Statewide Freight Forecasting Model (CSFFM). The data generated from this study will be utilized for calibration and validation of the next update of the California Statewide Travel Demand Model (CSTDM) and CSFFM which will be used by Caltrans Headquarters and Districts, Metropolitan Transportation Agencies, Regional Transportation Planning Agencies, other State agencies such as the California Air Resources Board and the California Energy Commission. This data will also be used to enhance and update existing planning databases within Caltrans.