The government workscape is changing rapidly. This major shift is multifaceted with jobs switching to remote, an overall struggle to fill roles, budget cuts and the automation of many tasks. However, one thing is clear: Government agencies are being forced to do more with less. People are fleeing the public sector for private-sector jobs. In fact, the number of private-sector jobs has now surpassed its pre-pandemic level.

Well, due to its breathtaking innovation, deep learning has left various industries astonished, and the transportation industry is no exception. The industry is so large that the annual GDP amounts to 471.90 U.S.D. billion in the U.S. alone. However, this industry that forms the backbone of any economy faces some severe challenges as the scale of operation escalates. Grand View Research's latest report stated that the deep learning market would reach a value of $10.2 billion by the end of the year 2025, which highlights the growing popularity of this technology. When both the industry and the technology are growing at such a rate, why not use deep learning in transport to up the performance of this sector.

What if a drone flight lands in your garden and delivers a product you booked online and takes off in seconds. Do you know how this happens? While many people are doubtful experts believe that the adoption of drones also known as unmanned aircraft systems (UAS), will become more common in the future. This blog will explain how AI drone services are transforming package industry. Drone delivery is employing unmanned aerial vehicles to deliver packages.

Many transportation sector leaders are looking to technology to overcome transportation-specific supply chain problems. Learn how using AI can help.

Transportation System Planning Fundamentals is a comprehensive video course where you can learn industry specific knowledge about system planning such as that found in the transportation industry. I have handcrafted this course to allow students to acquire core fundamental knowledge on how to develop the key knowledge needed to do effective strategic decision making throughout the transportation planning process. I will teach you the basic concepts of the transportation planning framework as well as different bits and pieces on how to create an effective transportation plan. I will also go over the management and operations of the transportation system so that you will have a solid understanding as to how the transportation system functions. If you are a professional who are interested to work as planner for the transportation industry, you will find this course of great help to get the fundamental knowledge you need to enhance your professional career.

Artificial intelligence (AI) is more accessible than ever and is increasingly used to improve business operations and outcomes, not only in transportation and logistics management, but also in diverse fields like finance, healthcare, retail and others. An Oxford Economics and NTT DATA survey of 1,000 business leaders conducted in early 2020 reveals that 96% of companies were at least researching AI solutions, and over 70% had either fully implemented or at least piloted the technology. Nearly half of survey respondents said failure to implement AI would cause them to lose customers, with 44% reporting their company's bottom line would suffer without it. Simply put, AI enables companies to parse vast quantities of business data to make well-informed and critical business decisions fast. And, the transportation management industry specifically is using this intelligence and its companion technology, machine learning (ML), to gain greater process efficiency and performance visibility driving impactful changes bolstering the bottom line.

Self-driving cars have begun to become a reality in the fields of agriculture, transportation, and military, and the day when ordinary consumers use self-driving cars in their daily lives is quickly approaching. An autonomous vehicle performs necessary operations based on sensor information and AI algorithms. It needs to collect data, plan trajectories, and execute driving routes. These tasks, especially planning and executing trajectories, require non-traditional programming methods, which rely on machine learning techniques in AI. Traditional heuristic algorithms in computer science can be used for path planning and control, such as Bellman-Ford algorithm and Dijkstra algorithm.

Artificial Intelligence (AI) is a technology that fuels machines with human intelligence -- machines that have AI capabilities can automate manual tasks and learn on the go just like humans. Such automation gets repetitive and time-consuming tasks under the AI-powered systems that learn with time and can eventually carry out critical tasks and make decisions on their own. Such unique potential drove the transportation businesses to start investing into AI technology to improve revenue and stay ahead of their competitors. Transportation industry has just begun to apply AI in critical tasks however the reliability and safety in transport are still under question. Major challenges in transport like safety, capacity issues, environmental pollution, reliability etc. provide a huge opportunity for AI innovation.

The technology behind Autonomous vehicles can surprise you. These vehicles are characterized by not having to deal with human limitations, such as tiredness and inattention. To the delight of many, these machines can park alone, and they do not drive drunk or speak on the phone while driving, like many humans that we know. It is known that human failures cause 94% of traffic accidents, and this innovation is mainly developed to save lives, reducing consistently the fatalities. According to a study from 2015 by the National Highway Traffic Safety Administration (NHTSA), traffic accidents are the most significant cause of death of young people between 15 and 29 years globally, overcoming the victims of AIDS, flu, and dengue together, according to the World Health Organization (WHO).

Just imagine the world without a transport facility! If you want to travel for long distances, how would you go? And, if a leading manufacturing company has to transport goods to its customer locations, then how it will do that without a transport facility? I think you understood the significance of the transportation industry. Do you believe or not history of the initiatives across the transportation industry have exploded in 1787 when steamboat has invented.