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Parallel driving is a novel framework to synthesize vehicle intelligence and transport automation. This article aims to define digital quadruplets in parallel driving. In the cyber-physical-social systems (CPSS), based on the ACP method, the names of the digital quadruplets are first given, which are descriptive, predictive, prescriptive and real vehicles. The objectives of the three virtual digital vehicles are interacting, guiding, simulating and improving with the real vehicles. Then, the three virtual components of the digital quadruplets are introduced in detail and their applications are also illustrated. Finally, the real vehicles in the parallel driving system and the research process of the digital quadruplets are depicted. The presented digital quadruplets in parallel driving are expected to make the future connected automated driving safety, efficiently and synergistically.

Digital quadruplets aiming to improve road safety, traffic efficiency, and driving cooperation for future connected automated vehicles are proposed with the enlightenment of ACP based parallel driving. The ACP method denotes Artificial societies, Computational experiments, and Parallel execution modules for cyber-physical-social systems. Four agents are designed in the framework of digital quadruplets: descriptive vehicles, predictive vehicles, prescriptive vehicles, and real vehicles. The three virtual vehicles (descriptive, predictive, and prescriptive) dynamically interact with the real one in order to enhance the safety and performance of the real vehicle. The details of the three virtual vehicles in the digital quadruplets are described. Then, the interactions between the virtual and real vehicles are presented. The experimental results of the digital quadruplets demonstrate the effectiveness of the proposed framework.

The driver keeps pressing the accelerator. But a bunch of electronics hacked into the car brings it to a safe stop anyway--the system had already been tracking the pedestrian for some time using lasers and a camera. The vehicle won't budge until the pedestrian is safely out of the way. That (staged) near miss was a test of a prototype vehicle developed by researchers at MIT. They are trying to prove that there's a different way to use robotic vehicles to improve people's lives than the driverless taxi vision espoused by some automakers and tech giants, such as Alphabet and Uber.

In the past half decade, artificial intelligence and machine learning have made significant leaps into the mainstream and into our daily lives. According to research firm Markets and Markets, the artificial intelligence market is set to grow to 5.05 billion by 2020 thanks to the increased applicability of various AI technologies into everything from finance to healthcare to retail. Today, doctors can diagnose Sepsis with an AI algorithm, for instance, and researchers can track endangered species through AI-enhanced photo capture systems. Clearly, these new self-learning and ever-improving technologies have limitless potential in a number of innovative industries. The U.S. Chamber of Commerce's Technology Engagement Center (C_TEC) recently hosted a panel discussion during its TecNation 2016 event that focused on where we stand with Artificial Intelligence and how it will affect our lives and unlock our potential in the long run.

Firefighters undergo rigorous training before responding to their first call but they still aren't superhuman. In a burning building there's a difference between what someone can sense in the surroundings and all the environmental data around him. Researchers at NASA's Jet Propulsion Laboratory (JPL) and the Department of Homeland Security (DHS) are working to fill that gap with an artificial intelligence system that can collect relevant information from the environment and relay it back to firefighters in real time. AUDREY -- or, the Assistant for Understanding Data through Reasoning, Extraction, and sYnthesis -- is integrated with the Internet of Things, which lets the system connect to wearable sensors and head-mounted displays on each firefighter, communicating data about temperatures, hazardous gases, and even GPS locations from one team member to another. "When first responders are connected to all these sensors, the AUDREY agent becomes their guardian angel," Edward Chow, manager of JPL's Civil Program Office and program manager for AUDREY, said in a press release.

The NASA-designed agent collects data on temperatures, gases and other vital signals - then crunches the stats to guide firefighters when they are tackling a blaze. Mark James, from NASA's Jet Propulsion Laboratory, said: "Because of all this data the sensor sees, firefighters won't run into the next room where the floor will collapse." The system uses sensors mounted on the firefighters' clothes - monitoring their GPS position, the heat level in surrounding areas, and whether any dangerous gases or chemicals are around. Audrey stands for Assistant for Understanding Data through Reasoning, Extraction, and sYnthesis. It is backed by the US Department of Homeland Security, and could also be used by police officers and other first responders. It has been in development for nine months and will be tested in the field next year.

Firefighters have only their wits and five senses to rely on inside a burning building. But research developed in part by NASA's Jet Propulsion Laboratory, Pasadena, California, may change that, introducing artificial intelligence (AI) that could collect data on temperatures, gases and other danger signals and guide a team of first responders safely through the flames. AUDREY, the Assistant for Understanding Data through Reasoning, Extraction, and sYnthesis, has received the Undersecretary's Award for Collaboration from the Department of Homeland Security (DHS) in recognition of its joint development by JPL and DHS. It's part of the Next Generation First Responder (NGFR) program, a DHS initiative to innovate new ways to keep firefighters, police, paramedics and other first responders safe in the field through increased awareness of their surroundings and communication abilities. But the big picture is even more exciting: AUDREY can track an entire team of firefighters, sending relevant signals to individuals while helping to make recommendations for how they could work together.

While much of the media attention around autonomous vehicle technology has been focused on fully self-driving cars, consumers shouldn't expect cars to act like chauffeurs any time soon. The vast majority of mainstream vehicles adopting autonomous driving features will be controlled by advanced driver assistance systems (ADAS) or "guardian angels" that learn over time, Gil Pratt, CEO Toyota Research Institute, told reporters and analysts last week. Speaking at the New England Motor Press Association Technology Conference at MIT, Pratt said that 30,000 motor vehicle fatalities occur in the U.S. each year. That number may seem high, but as a whole, U.S. drivers are excellent at avoiding crashes. So, instead of taking the wheel from drivers' hands, as a fully autonomous vehicle would do, auto makers are more focused on assisting drivers for years to come.

THE French Riviera is lovely at this time of year. The steering wheel spins to take the car round a bend – but my hands stay in my lap. And since there's no need to keep my eyes on the road, I'm free to enjoy the beachfront view. An oddly pixelated man with a two-dimensional windsurfer under his arm gives me the eye. Sadly, my Riviera is being projected on a large wrap-around screen in a room-sized simulator in Wokingham, UK.