The city of Alpharetta, Georgia, is utilizing the chipset to improve response times by their fire department, while Houston has deployed 500 chips across the city's school zones. Photo by Eileen Falkenberg-Hull

The dawn of smart cities is upon us, using the internet of things to solve both big and little problems. In Georgia, Texas, and Hawaii, a new technology is being used that will ease traffic woes for public safety vehicles.

The technology uses dual mode chipsets by Israel-based Autotalks that are installed in roadside units, such as traffic control boxes. Autotalks has teamed up with Applied Information Inc., an Alpharetta, Georgia-based provider of intelligent transportation infrastructure solutions, to provide traffic signal preemption technology that helps emergency vehicles reach their destination safely and quickly.

Traditionally, emergency vehicles travel through traffic with their lights or siren, or a combination of both, activated when on the way to a call. When they near an intersection, drivers must navigate the traffic signals, pedestrians, vehicles, and any road hazards, often times while at speed, all while receiving evolving information about the situation they are approaching.

In 1914, American Traffic Signal Company installed the first traffic light that could be used by police and fire personnel to control the signals in the event of an emergency. Over the last century, the traffic signal preemption technology has evolved, offering acoustic, line of sight, localized radio signal, and GPS technology.

Generations of drivers grew up seeing Rad-O-Lites by the now-defunct Relco Emergency Light Company out of Erie, Pennsylvania, flashing white signals on the same line next to traffic lights alerting them to the presence of a nearby emergency vehicle that was responding to a call.

The new technology being implemented was developed and allows emergency vehicles equipped with the units to initiate traffic signal control measures. While the technology's main use case is in emergency vehicle traffic signal preemption, it can also be used by transit buses for traffic signal priority and vehicles involved in roadside work zones.

The City of Alpharetta, Georgia, was the first in the U.S. to deploy the company's technology. According to a spokesperson for the Alpharetta Department of Public Safety, the RSUs are featured on all traffic signals controlled by the city — approximately 150 units.

In Harris County, Texas, the chips are used in over 500 School Beacon Flasher Timers.

"The AI/Autotalks solution enables roadway operators to confidently deploy V2X technology today so the infrastructure is ready for the auto industry deployment, while providing 'Day One' benefits such as safer, faster emergency vehicle response times now," says Bryan Mulligan, president of Applied Information.

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This article originally ran on AutomotiveMap.

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$5B Austin medical center, anchored by MD Anderson, to break ground this fall

moving forward

Construction on the $1 billion first phase of the AI-native University of Texas Dell Medical Center in Austin—which will feature a hospital operated by Houston’s UT MD Anderson Cancer Center—is set to start this fall.

The UT System Board of Regents approved funding for first-phase construction on Aug. 12.

The medical center—now expected to cost $5 billion, up from the initial $2.9 billion estimate—will span about 2.5 million square feet. It will include 300 to 500 patient beds, outpatient facilities, an emergency department and specialized care for cancer patients.

MD Anderson will bring its world-renowned oncology programs to the center’s integrated health care model, Dr. Claudia Lucchinetti, senior vice president of medical affairs at UT Austin and dean of the university’s Dell Medical School, tells Health Leaders.

Earlier this year, Austin tech billionaire Michael Dell and his wife, Susan, pledged $750 million for development of the medical center. The medical center, scheduled for completion in December 2030, will be a cornerstone of the new 300-acre UT Dell Campus for Advanced Research, a medical education and research hub.

“Through this new campus and medical center, Texas will lead America in health care innovation,” Gov. Greg Abbott said when the research campus was announced in April. “The next generation of medical breakthroughs will take place in Central Texas.”

The medical center will fold AI tools and other technology into the infrastructure, rather than having them added after it’s built. Among other capabilities, the technology will monitor real-time medical data, automate data entry, and help health care professionals quickly predict and identify risks to patients, according to Health Leaders.

“We are not just building a new medical center,” Lucchinetti says. “We are building a fundamentally new model of health. It’s not just a new facility. It’s not just a new collaboration. It is a convergence of capabilities that rarely come together at the same time.”

Rice lands $15M U.S. Army award to launch next-gen wireless research center

defense funding

The U.S. Army Research Office has awarded Rice University $15 million to establish a new center for next-generation sensing and communications.

The five-year research center—dubbed the Center for Large Aperture Secure Sensing, Imaging and Communications (CLASSIC)—will unite researchers from universities and national laboratories to develop advanced antenna technologies for future wireless systems. Edward Knightly, the Sheafor-Lindsay Professor of Electrical and Computer Engineering at Rice, will lead the center that “combines expertise in wireless networking, antennas, radar, artificial intelligence, circuits and physics to address growing demands on wireless systems,” according to Rice.

“The challenges we’re tackling require advances that span physics, hardware, communications and computing," Knightly said in a news release. “By combining those strengths in a single center, we can accelerate the development and demonstration of technologies that would not be possible through individual efforts alone.”

Joining Knightly will be Ashutosh Sabharwal of Rice, Sensen Li of the University of Texas at Austin, Hou-Tong Chen of Los Alamos National Laboratory, Danijela Cabric of UCLA, Josep M. Jornet and Tommaso Melodia of Northeastern University, Daniel M. Mittleman of Brown University, and Willie Padilla of Duke University.

Industry partners include Booz Allen Hamilton, Intel, Keysight, Lockheed Martin, MITRE, Northrop Grumman, Qualcomm and Raytheon.

CLASSIC researchers will investigate how large-scale antenna arrays (ELSAAs) can expand the capabilities of wireless systems where technology is limited.

ELSAAs use thousands of coordinated antenna elements to direct radio waves. Researchers aim to develop ways to use the technology to help maintain steady communication when signals are blocked or disrupted and to detect and generate detailed images of concealed objects.

Along with ELSAAs, the center will work to develop sensing techniques for threat detection, study wireless jamming and build resilient high-speed wireless networks. Researchers will ultimately validate the technology in labs and via drone-based field trials.

CLASSIC will also work on developing an AI-driven modeling framework that will simulate complex electromagnetic environments in real time.

“This award demonstrates Rice’s leadership in tackling complex national research challenges through collaboration across disciplines and institutions,” David Sholl, executive vice president for research at Rice, added in the release.