on a roll

Luxe rideshare service with EV evolution plans expands Houston-area coverage to two suburbs

Alto, which plans an imminent evolution into electric vehicles, has expanded its service in the Houston area. Photo courtesy of Alto

Some big news for outside-the-Loop ridesharing users: Luxury rideshare company Alto, which currently operates in Inner Loop and Greater Houston, will expand its current service areas to The Woodlands and Spring.

Woodlands and Spring residents who’ve used Alto in Houston can look forward to the service in December and join a waitlist now. Importantly, new users who register now will receive the first three months of Alto membership completely free. (Be sure to check the site for important details.) Memberships run $12.95 per month, or $119 for annual or family memberships. The company promises unlocked fares that are 30-50 percent lower than usually promoted.

Founded in 2018 and launched in Houston in 2020, Alto elevates basic ridesharing with a fleet of company-owned, clearly branded, 5-star crash rated luxury SUVs. For safety, cloud-based cameras capture both interior and exterior videos of the ride. The company has previously announced its plans to evolve its fleet into being completely electric.

Choosy customers can select their preferred ride “vibe” — meaning an upbeat or chill music choice and even level of conversation with the driver — via the app. Vehicles are appointed with chargers, drinks, and even upscale scents (no smelly trips here).

In effort to create a more consistent customer-service based experience, Alto drivers aren’t contractors or side-hustlers but rather employees who receive benefits. A major benefit: Alto doesn’t put time restrictions on departures, meaning users who are running late don’t have to frantically message the driver.

As those who’ve used Alto are familiar, Alto drivers are professional and personable (without being overbearing) and tend to drive much slower and conservatively — something that should be considered for those behind schedule. Importantly, Alto builds 10 to 15-minute pick up windows to adjust for demand and cleaning between rides.

As for the new area users: consider this a chance to cruise Market Street in The Woodlands or Old Town Spring in regal rideshare style.

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This article originally ran on CultureMap.

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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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