If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Whether they drive themselves or improve the safety of their driver, tomorrow's vehicles will be defined by software. However, it won't be written by developers but by processing data. To prepare for that future, the transportation industry is integrating AI car computers into cars, trucks and shuttles and training them using deep learning in the data center. A benefit of such a software-defined system is that it's capable of handling a wide range of automated driving -- from Level 2 to Level 5. Speaking in Tokyo at the last stop on NVIDIA's seven-city GPU Technology Conference world tour, NVIDIA founder and CEO Jensen Huang demonstrated how the NVIDIA DRIVE platform provides this scalable architecture for autonomous driving. "The future is surely a software defined car," said Huang.
David Poulsen, CutCableToday's IT expert, says connected, or autonomous, vehicles, are attractive because of the technologies that undergird them. "The Internet of Things (IoT) is one part of the equation," Poulsen explains. "The other part is artificial intelligence (AI). It acts as the driver, helping the connected'thing,' which could be a vehicle or inventory system, make smarter decisions." As applied to transportation management, that automated decision-making ability is critical.
Urban planners talk about two visions of the future city: heaven and hell. Hell, in case it's not clear, is bad--cities built for technologies, big companies, and vehicles instead of the humans who actually live in them. And hell, in some ways, is here. Today's US cities are dominated by highways there were built by razing residential neighborhoods. It's all managed by public policies that incentivize commuting in your car.
The applications of the Internet of Things (IoT) have been growing dramatically in recent a few years. According to IDC, the transportation sector will be among the first to see a significant growth from the IoT, and the global IoT market in the transportation sector is expected to reach $195 billion by 2020. The smart IoT is dramatically accelerating the pace of innovation and transforming the way of operations in transportation and infrastructure. The ubiquitous deployment of smart, connected sensors and things, combined with artificial intelligence (AI) and big data analytics, can enable us to gather insightful knowledge, make real-time and even predictive computing to help us reaching better decisions and developing better plans to improve the safety, efficiency, and reliability of smart transportation. Here we take a look at some important applications of the IoT in intelligent transportation systems and smart cities.
A Ford Fusion development vehicle equipped with autonomous controls, seen at a test facility Tuesday in Ann Arbor, Mich. A Ford Fusion development vehicle equipped with autonomous controls, seen at a test facility Tuesday in Ann Arbor, Mich. The Department of Transportation released its revised guidelines on automated driving systems Tuesday, outlining its recommended -- but not mandatory -- best practices for companies developing self-driving cars. On the same day the new plan relaxed guidance on Level 2 vehicles, the National Transportation Safety Board faulted a Tesla automated driving system for playing a "major role" in a collision that killed its test driver last year. "Just as the NTSB says the government and industry should be stepping up its efforts to ensure the safety of Level 2 automated vehicles," he added, "the Department of Transportation and Secretary Chao are rolling back their responsibility in that space."
The University of Michigan opened the $6.5m, 32 acres Mcity, the world's first controlled environment specifically designed to test the potential of connected and automated vehicle technologies that will lead the way to mass-market driverless cars Ford has become the first major car maker test autonomous vehicles at Mcity – the full-scale simulated real-world urban environment at the University of Michigan. Occupying 32 acres at the University's North Campus Research Complex, M City includes approximately five lane-miles of roads with intersections, traffic signs and signals, sidewalks, benches, simulated buildings, street lights and obstacles Occupying 32 acres at the University's North Campus Research Complex, it includes approximately five lane-miles of roads with intersections, traffic signs and signals, sidewalks, benches, simulated buildings, street lights, and obstacles such as construction barriers. For the most part, self-driving cars will be ready for the open road long before the open road is ready for them. That's true for the private companies designing and building self-driving cars, and for the taxpayer-funded government agencies that design and build the roads on which they'll drive.
Safety: Safety for the Vehicle and for the Passenger is an important aspect of the Transportation solutions which would reduce accidents, make communications secure between vehicles and infrastructure. Machines could take over critical areas where human error may affect safety adversely. With Software and Connected Vehicles (V2V, V2I) influencing next generation transportation solutions, secure behavior of the vehicles and safety of passengers for vulnerability against cyber-attacks is demanding a lot of attention from technologists and thus is a huge opportunity for innovation. Lastly, Nano technologies are driving the advent of new and advanced materials, especially for energy storage devices like batteries, solar panels, etc., which is an important area of research, to develop next generation energy efficient transportation solutions.
Self-driving is emerging from being a niche technology towards being a mainstream automotive technology. In September 2016, the National Highway and Transportation Safety Administration issued a new policy for self-driving which covered a number of aspects including guidelines for vehicles, state policy, current tools and new tools required to regulate self-driving. Updating existing vehicle standards: New standards will have to be formed keeping in mind there may be no driver behind the wheel. Differentiation between semi and fully autonomous vehicles: This was the leading cause of Uber's fallout with the California DMV.
We are use to thinking that a single UAV will only transport a single small box. In this scenario, UAV cooperative teams could play a key role in the industry. Cooperative transportation systems require a specific control and path planning strategy compared to single robots. Deformable solid linking among flying vehicles is not a new phenomenon: aerial refuelling already exists, but with manned vehicles.
There's a new player in the autonomous trucking game, and it's coming out of the gate with some big claims. Swedish transportation company Einride announced its global launch with news that it's working to establish the world's first totally emission-free road transportation system. Their aim: To knock out the current semi truck-based supply chain. Einride's emission-free model is based on an entirely new vehicle class, which it calls the "T-pod," a fully electric self-driving vehicle that can also be controlled by remote drivers. The "T-pod" is around seven meters (23 feet) long, with a cargo capacity of about 15 standard pallets and a weight of 20 tons when carrying a full load.