autonomous freight

Self-driving trucking facility opens in Houston, readies for 2024 launch in Texas

Texas is one step closer to seeing a Houston-to-Dallas driverless truck route on I-45. Photo courtesy of Aurora

Houston is emerging as a major player in the evolution of self-driving freight trucks.

In October, Aurora Innovation opened a more than 90,000-square-foot terminal at a Fallbrook Drive logistics hub in northwest Houston to support the launch of its first “lane” for driverless trucks — a Houston-to-Dallas route on I-45. Aurora opened its Dallas-area terminal in April.

Close to half of truck freight in Texas moves along I-45 between Houston and Dallas.

“With this corridor’s launch, we’ve defined, refined, and validated the framework for the expansion of our network with the largest partner ecosystem in the autonomous trucking industry,” Sterling Anderson, co-founder and chief product officer at Pittsburgh-based Aurora, says in a news release.

Aurora produces software that controls autonomous vehicles. The software is installed in trucks from Paccar, whose brands include Kenworth and Peterbilt, and Volvo.

Anderson says its Houston and Dallas terminals came online well ahead of its scheduled launch of driverless trucks between the two cities. The terminals house, maintain, and inspect autonomous trucks.

Aurora currently hauls more than 75 loads per week (under the supervision of vehicle operators) from Houston to Dallas and Fort Worth to El Paso. The company’s customers in its pilot project include FedEx, Uber Freight, and Werner.

“We are on track to launch commercial operations at the end of 2024, with Dallas to Houston serving as our first commercial route,” the company says.

In July, Aurora said it raised $820 million in capital to fuel its growth — growth that’s being accompanied by scrutiny. Self-driving taxi service, Cruise, which recently launched in Houston, has put it in park for the time being.

In light of recent controversies surrounding self-driving vehicles, the International Brotherhood of Teamsters, whose union members include over-the-road truckers, recently sent a letter to Lt. Gov. Dan Patrick calling for a ban on autonomous vehicles in Texas.

“The Teamsters believe that a human operator is needed in every vehicle — and that goes beyond partisan politics,” the letter states. “State legislators have a solemn duty in this matter to keep dangerous autonomous vehicles off our streets and keep Texans safe. Autonomous vehicles are not ready for prime time, and we urge you to act before someone in our community gets killed.”

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A View From HETI

Researchers have secured $3.3 million in funding to develop an AI-powered subsurface sensing system aimed at improving the safety and efficiency of underground power line installation. Photo via Getty Images

Researchers from the University of Houston — along with a Hawaiian company — have received $3.3 million in funding to explore artificial intelligence-backed subsurface sensing system for safe and efficient underground power line installation.

Houston's power lines are above ground, but studies show underground power is more reliable. Installing underground power lines is costly and disruptive, but the U.S. Department of Energy, in an effort to find a solution, has put $34 million into its new GOPHURRS program, which stands for Grid Overhaul with Proactive, High-speed Undergrounding for Reliability, Resilience, and Security. The funding has been distributed across 12 projects in 11 states.

“Modernizing our nation’s power grid is essential to building a clean energy future that lowers energy costs for working Americans and strengthens our national security,” U.S. Secretary of Energy Jennifer M. Granholm says in a DOE press release.

UH and Hawaii-based Oceanit are behind one of the funded projects, entitled “Artificial Intelligence and Unmanned Aerial Vehicle Real-Time Advanced Look-Ahead Subsurface Sensor.”

The researchers are looking a developing a subsurface sensing system for underground power line installation, potentially using machine learning, electromagnetic resistivity well logging, and drone technology to predict and sense obstacles to installation.

Jiefu Chen, associate professor of electrical and computer engineering at UH, is a key collaborator on the project, focused on electromagnetic antennas installed on UAV and HDD drilling string. He's working with Yueqin Huang, assistant professor of information science technology, who leads the geophysical signal processing and Xuqing Wu, associate professor of computer information systems, responsible for integrating machine learning.

“Advanced subsurface sensing and characterization technologies are essential for the undergrounding of power lines,” says Chen in the release. “This initiative can enhance the grid's resilience against natural hazards such as wildfires and hurricanes.”

“If proven successful, our proposed look-ahead subsurface sensing system could significantly reduce the costs of horizontal directional drilling for installing underground utilities,” Chen continues. “Promoting HDD offers environmental advantages over traditional trenching methods and enhances the power grid’s resilience.”

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