The Institute of Electrical and Electronics Engineers (IEEE) published the Texas A&M Transportation Institute’s (TTI’s) paper “Using an Interpretable Machine Learning Framework to Understand the Relationship of Mobility and Reliability Indices on Truck Drivers’ Route Choices.” (Note: To access the full article, readers will need a subscription.) A member of the TTI Mobility Division, Graduate […]
freight mobility
Making Space for Big Rigs: TTI Helps TxDOT Evaluate Technologies to Facilitate Truck Parking
Finding safe parking is a constant concern for the nation’s hundreds of thousands of truck drivers. There are typically not enough parking spaces along their routes, and there is no real way for truckers to know in advance about parking availability. How big is the issue in Texas? According to the Texas Department of Transportation’s […]
Technology, New Concepts Drive Future Freight Movement Investments
Although we often take the safe, efficient movement of freight for granted, our local and global economies depend on it. Whatever the path — highways, railways, waterways, airports, ports of entry, pipelines — reliably getting goods to market drives the heartbeat of our economy. Texas A&M Transportation Institute (TTI) researchers are at the forefront of […]