Through increasing awareness, affordability, and accessibility, the city of Houston hopes to grow the number of electric vehicles on Houston roads by 2030. Courtesy of EVolve Houston

The city of Houston has taken a major step toward reducing carbon emissions caused by its estimated 1.3 million vehicles that drive the city's streets daily.

Mayor Sylvester Turner announced a new partnership between the government, local businesses, and academic leaders that has created EVolve Houston. The coalition is aimed at boosting electric vehicle sales to 30 percent of new car sales in Houston by 2030.

"This new partnership will help solidify Houston's success as a leader in transportation technology and it will help improve air quality for the citizens of Houston and beyond, by reducing reliance on vehicles powered by carbon-based fuels," Mayor Turner says in a release. "Houston will now have a dedicated resource working to increase the adoption of electric vehicles, wherever it makes sense to do so. Nearly half of the greenhouse gas emissions in Houston come from transportation. Shifting to zero emission forms of transportation is a key strategy to help us meet our ambitious climate goals and improve our regional air quality."

EVolve Houston, which will contribute to the city's Climate Action Plan that was announced in July, will focus on increasing awareness, affordability, and availability of electric vehicles. The coalition's founding partners include the city, CenterPoint Energy, the University of Houston, NRG Energy, Shell, and LDR.

"Houston has bold goals to improve air quality and reduce greenhouse gas emissions. To do that, we must make a major impact on one of the largest sources of emissions, which is transportation" says Dr. Ramanan Krishnamoorti, the chief energy officer at University of Houston.

The partners will focus on launching pilot projects as well as hosting demonstrations and awareness activities to promote EV adoption, according to the release.

"At CenterPoint Energy, we are committed to making a positive difference in the communities we touch, and environmental stewardship is an integral component of our overall corporate responsibility approach," says Scott Prochazka, president and CEO of CenterPoint Energy, in the release. "I am proud to partner with Mayor Turner and other founding members of EVolve Houston to help accelerate clean transportation for Houston."

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Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”