METHODOLOGY
Despite being fully developed, the applications saw limited pilot utilization, so benefit estimates were based on simulations, dashboard data, trucking company feedback, and limited…
METHODOLOGY
This study used global optimization techniques, machine-learning-based solar power prediction, and two scheduling algorithms, including robust Model Predictive Control (MPC) and empirical…
The DrayFLEX project noted the following lessons learned:
Anticipate Additional Time and Resources and Consider Offering Compensation When Integrating Freight Information Systems with…