Driver assistance systems provide a wide range of crucial services, including closely monitoring the condition of vehicles. This paper showcases a groundbreaking sensor health monitoring system designed for the automotive industry. The ingenious system leverages cutting-edge techniques to process data collected from various vehicle sensors. It compares their outputs within the Electronic Control Unit (ECU) to evaluate the health of each sensor. To unravel the intricate correlations between sensor data, an extensive exploration of machine learning and deep learning methodologies was conducted. Through meticulous analysis, the most correlated sensor data were identified. These valuable insights were then utilized to provide accurate estimations of sensor values. Among the diverse learning methods examined, the combination of autoencoders for detecting sensor failures and random forest regression for estimating sensor values proved to yield the most impressive outcomes. A statistical model using the normal distribution has been developed to identify possible sensor failures proactively. By comparing the actual values of the sensors with their estimated values based on correlated sensors, faulty sensors can be detected early. When a defective sensor is detected, both the driver and the maintenance department are promptly alerted. Additionally, the system replaces the value of the faulty sensor with the estimated value obtained through analysis. This proactive approach was evaluated using data from twenty essential sensors in the Saipa's Quick vehicle's ECU, resulting in an impressive accuracy rate of 99\%.

Aiming for a greener transportation future, this study introduces an innovative control system for plug-in hybrid electric vehicles (PHEVs) that utilizes machine learning (ML) techniques to forecast energy usage in the pure electric mode of the vehicle and optimize power allocation across different operational modes, including pure electric, series hybrid, parallel hybrid, and internal combustion operation. The fuzzy logic decision-making process governs the vehicle control system. The performance was assessed under various driving conditions. Key findings include a significant enhancement in pure electric mode efficiency, achieving an extended full-electric range of approximately 84 kilometers on an 80% utilization of a 20-kWh battery pack. During the WLTC driving cycle, the control system reduced fuel consumption to 2.86 L/100km, representing a 20% reduction in gasoline-equivalent fuel consumption. Evaluations of vehicle performance at discrete driving speeds, highlighted effective energy management, with the vehicle battery charging at lower speeds and discharging at higher speeds, showing optimized energy recovery and consumption strategies. Initial battery charge levels notably influenced vehicle performance. A 90% initial charge enabled prolonged all-electric operation, minimizing fuel consumption to 2 L/100km less than that of the base control system. Real-world driving pattern analysis revealed significant variations, with shorter, slower cycles requiring lower fuel consumption due to prioritized electric propulsion, while longer, faster cycles increased internal combustion engine usage. The control system also adapted to different battery state of health (SOH) conditions, with higher SOH facilitating extended electric mode usage, reducing total fuel consumption by up to 2.87 L/100km.

What will AI do to employment? It is, after "will it kill us all?", the most important question about the technology, and it's remarkably hard to pin down – even as the frontier moves from science fiction to reality. At one end of the spectrum is the slightly Pollyannaish claim that new technology simply creates new jobs; at the other, fears of businesses replacing entire workforces with AI tools. Sometimes, the dispute is less about end state and more about speed of the transition: an upheaval completed in a few years is destructive for those caught in the middle of it, in a way that one which takes two decades may be survivable. Even analogies to the past are less clear than we might like.

Take a walk down any busy street and the noise can hit like a speaker accidentally left on full volume. The growls of engines accelerating when the traffic light turns green, motorbikes vying for position in the traffic, buses whizzing past and the odd rev-head all compete to be heard. The sound generated by the internal combustion engine has shaped urban life for a century, but that is gradually going to change: by 2050, 90% of cars in Australia will be electric. Australia is developing noise standards for electric cars that may follow similar rules set by the UN or US, industry experts say. But what exactly an electric car, and ultimately our cities, will sound like is under the creative control of carmakers.

Take any petrol car sold today and show it to a mechanic working on a Ford Model T 100 years ago and there is a fairly good chance they would understand roughly how it works. An internal combustion engine at the front turns the wheels, carrying a driver behind a steering wheel, some passengers and luggage. No longer will the shape of the car be defined so rigidly by bulky engines, exhaust gas handling or driveshafts. At the same time, digital technology promises to replace everything from rear-view mirrors to the human driver. Never has the car industry had to cope with so many changes all at once.

In the coming years, mobility solutions--or how we get from point A to point B--will bridge the gap between ground and air transportation--yes, that means flying cars. Technological advancements are transforming mobility for people and, leading to unprecedented change. Nand Kochhar, vice president of automotive and transportation for Siemens Software says this transformation extends beyond transportation to society in general. "The future of mobility is going to be multimodal to meet consumer demands, to offer a holistic experience in a frictionless way, which offers comfort, convenience, and safety to the end consumer." Thinking about transportation differently is part of a bigger trend, Kochhar notes: "Look at few other trends like sustainability and emissions, which are not just a challenge for the automotive industry but to society as a whole." The advances in technology will have benefits beyond shipping and commute improvements--these technological advancements, Kochhar argues, are poised to drive an infrastructure paradigm shift that will bring newfound autonomy to those who, today, aren't able to get around by themselves. Kochhar explains, "Just imagine people in our own families who are in that stage where they're not able to drive today. Now, you're able to provide them freedom." Laurel Ruma: From Technology Review, I'm Laurel Ruma, and this is Business Lab, the show that helps business leaders make sense of new technologies coming out of the lab and into the marketplace. Our topic today is the future of mobility. In 2011, Marc Andreessen famously said, "Software is eating the world."

Paris – Leading automakers have signaled their intention to scrap internal combustion engines by 2030 or cut back sharply on their production as the sector turns toward electric vehicles. The latest to unveil plans was German group Daimler, maker of Mercedes Benz and smart cars, which aims to be fully electric before 2030 -- five years ahead of a deadline proposed by the European Commission. Here is a look at who wants to do what. Daimler Plans to invest more than €40 billion ($47 billion) to be able to electrify all of its cars by the end of the decade. From 2025, all Mercedes "architectures" -- the chassis, motor and wheels -- are to be 100% electric. Daimler also plans to build eight factories to produce the batteries that are the vehicles' key component.

David Schmidt is protecting the environment, but not in the way he first intended. In engineering graduate school, his interest was nuclear fusion. A persuasive Ph.D. advisor guided him toward the physics of fuel injection, a process central to both inertial confinement fusion reactors and internal combustion engines, the advisor's other line of research. While electric cars may seem to be taking over, internal combustion engines (ICEs) will remain on the roads, seas, and tarmacs for decades to come. Schmidt's work makes them cleaner and more efficient.

But the kind of power generation that Edison pioneered on that September day in 1882 put us on a trajectory that has had unfortunate outcomes. He kicked into overdrive our reliance on fossil fuels for energy, allowing it to permeate all aspects of our lives--from the electricity we need to power our homes, offices and factories, to the petroleum we need to run our cars, ships and planes. This forced us down a path of high-energy consumption that has resulted in the rapid depletion of naturally occurring carbon-based fuel sources and inflicted near-irreversible damage on our planet. Edison's choice of coal as the fuel source for his power plant should not be taken as indicative of his support for fossil fuels as a source of energy. At least in the context of transportation, he believed that automobiles should run on electricity--not petrol--and even built a vehicle powered by alkaline batteries of his own invention.

Looking at the way we live today, it's easy to think that relatively recent discoveries and innovations in science and technology are responsible for our modern lifestyle. But even the newest devices and equipment today have their foundations in technology developed centuries ago. The technology used for information exchange, communication, transportation and many other essential aspects of our lives are all a result of a series of inventions and innovations that go back well into the past. Let's take a look at some of the most crucial technological advancements in history. Using glass to refract light is a simple idea, but it took humanity a long time to discover it.