TransportHow we travel in the second machine age
Transport in an age of robots
Transport is about to have a massive shift as automation becomes more competent and accepted. Many drivers will be displaced as autonomous vehicles become cheaper, more reliable, and government regulations change to accomodate the new technology. Drone technology may soon become your own personal flying car – just like the Jetsons!
Each year, 40,000 diesel-fuelled lorries pass through the gates of Yara’s fertiliser manufacturing plant in Porsgrunn, Norway. But not for long. In a few years time, all these loads will be transferred to an autonomous ship: A battery driven container vessel, the Yara Birkeland. This is good news for all those concerned about local noise and air pollution, but the real benefit will be seen when such vessels are being mass-produced and making a global contribution to reducing the effects of climate change.
The University of California San Diego will turn its campus into a test bed for self-driving vehicles starting in January 2018. The project will be implemented in stages. The first will be to put self-driving mail delivery carts on the road. The carts will run on algorithms developed by UC San Diego researchers who are part of the Contextual Robotics Institute. Back-up drivers will initially ride in the carts as a safety measure.
MIT team develops software that can tell if tires need air, spark plugs are bad, or air filter needs replacing. Imagine hopping into a ride-share car, glancing at your smartphone, and telling the driver that the car’s left front tire needs air, its air filter should be replaced next week, and its engine needs two new spark plugs.
Before coming to Yale in 2009, Dr. Federico Vaca treated countless car crash victims as an emergency medicine physician at UC Irvine Medical Center in Orange, California.
“Early on in my career, I saw a lot of motor vehicle crashes, kids being ejected from cars, a lot of young people seriously injured and too many killed,” he recalls.
Inverter improvement clears way for smaller, more efficient motor drive systems for electric vehicles
A Purdue University professor of electrical and computer engineering and a recent Ph.D. graduate have found a way to make smaller, more efficient motor drive systems for hybrid and electric cars, trucks, trains, ships and aircraft. Oleg Wasynczuk, a professor in Purdue’s School of Electrical and Computer Engineering, and Minyu Cai have designed an improved power inverter that can be used to convert direct current electricity from a battery, fuel cell or other source into alternating current to power a motor.
Application case Bus farm: study analyzes Feasibility and savings potential of autonomous driving – KIT, FZI and SSB create innovation at the interface between IT and mobility. Autonomous driving is an important building block of new mobility concepts – not only in the passenger car sector.
Intelligent vehicles get their intelligence from cameras, Light Detection and Ranging (LIDAR) sensors, and navigation and mapping systems. But there are ways to make them even smarter. Researchers at EPFL are working to improve the reliability and fault tolerance of these systems by combining the data they gather with that from other vehicles.
UAE embraces the future with the world’s first concept flight of the Autonomous Air Taxi (Volocopter). HH Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum, Crown Prince of Dubai, attended the maiden concept flight of the Autonomous Air Taxi (AAT), a vehicle that will be used for the world’s first self-flying taxi service set to be introduced by Dubai’s Road and Transport Authority (RTA).
At the recent International Astronautical Congress (IAC) in Adelaide, Australia, SpaceX CEO and Lead Designer Elon Musk provided an update to his 2016 presentation regarding the long-term technical challenges that need to be solved to support the creation of a...
Computer algorithms developed by engineering researchers at the University of Waterloo can accurately determine when drivers are texting or engaged in other distracting activities. The system uses cameras and artificial intelligence (AI) to detect hand movements that deviate from normal driving behaviour and grades or classifies them in terms of possible safety threats.
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