AI and public Transportation

AI navigation of school buses, public bus systems, trains, and commercial planes will be the de facto standard. AI system will perform flawlessly with minimal accidents or distractions.

Firstly, AI systems are capable of processing large amounts of data in real time, which allows them to make quick and accurate decisions. This is crucial in navigation where real-time data about traffic, weather conditions, and route changes are necessary for safe and efficient travel.

Secondly, AI systems can be programmed to strictly adhere to traffic rules and regulations, reducing the risk of human error which is a leading cause of accidents in transportation. They can also be designed to prioritize safety over speed or efficiency, further reducing the risk of accidents.

Thirdly, AI systems do not get tired, distracted, or impaired, which are common issues with human drivers and operators. This means they can operate vehicles for extended periods without the risk of fatigue-related accidents.

Furthermore, AI systems can be integrated with other technologies such as GPS, radar, and sensors to enhance their navigation capabilities. For example, they can use GPS data to plan the most efficient routes, radar to detect obstacles, and sensors to monitor vehicle performance.

Public Transit

Volvo Autonomous Solutions recently unveiled the Volvo VNL Autonomous, which is Volvo’s first-ever production-ready autonomous truck. The truck was showcased at the Advanced Clean Transportation (ACT) Expo in Las Vegas.

The Volvo VNL Autonomous is a purpose-built autonomous truck that combines Volvo’s commercial vehicle expertise with industry-leading autonomous driving technology from Aurora Innovation. It is designed to increase freight capacity across the United States.

Safety is a top priority for Volvo Autonomous Solutions, and the Volvo VNL Autonomous features redundant systems for steering, braking, communication, computation, power management, energy storage, and vehicle motion management to ensure safety and reliability.

The truck integrates the Aurora Driver, an SAE L4 autonomous driving system, which includes powerful AI software, lidar, cameras, radar, and sensors to navigate the world safely. This partnership between Volvo and Aurora aims to provide a cutting-edge autonomous truck that is purpose-built for integration and commercial scale.

The Volvo VNL Autonomous will be assembled at Volvo’s New River Valley (NRV) plant in Virginia, leveraging Volvo’s extensive manufacturing experience and procurement ecosystem to produce the truck at industry demand.

Volvo Autonomous Solutions is focused on customer adoption and societal impact, aiming to address driver shortages in the transportation sector and improve work-life balance for drivers. The introduction of the Volvo VNL Autonomous represents a significant milestone in the implementation of autonomous transport and the societal benefits it brings.

The sentiment expressed by passengers in the study conducted by Volvo Buses, V?sttrafik, and Chalmers University of Technology regarding self-driving buses is overwhelmingly positive. Passengers perceive self-driving buses as exciting, safe, and comfortable, leading to a high level of satisfaction with this mode of transport. They also recognize the advantages such as increased safety, efficiency, and reliability that autonomous buses bring to the transportation system. This positive sentiment and acknowledgment of benefits are crucial for the successful implementation and acceptance of autonomous buses in the future. Additionally, passengers have high expectations for the future of public transportation, envisioning a more sustainable, efficient, and personalized transport system. This sentiment underscores the importance of incorporating passenger feedback and preferences in the development of autonomous technologies to meet the expectations and needs of future commuters. Overall, the study reveals a positive outlook on self-driving buses and their potential to positively impact the future of public transportation, providing valuable insights for stakeholders to shape the development and implementation of autonomous solutions for urban transportation challenges.

The study on passengers’ experiences with self-driving buses conducted by Volvo Buses, V?sttrafik, and Chalmers University of Technology reveals predominantly positive sentiments. Passengers find self-driving buses exciting, safe, and comfortable, which is crucial for the acceptance and implementation of autonomous transportation solutions. They perceive the self-driving bus experience as seamless and comfortable, similar to a normal bus ride, indicating a smooth and familiar journey. Passengers express trust in the technology, noting that the buses handle traffic situations well and provide a sense of safety. Although self-driving buses drive slower in test situations, passengers still find the journey comfortable and uneventful. Passengers view self-driving buses as a potential enhancement to public transport efficiency and express a willingness to use autonomous buses regardless of whether there is a driver behind the wheel. The study emphasizes the importance of understanding passenger experiences with self-driving buses for future developments in autonomous transportation. Volvo Buses, V?sttrafik, and the researchers value and appreciate the insightful feedback provided by passengers, considering it incredibly valuable. The study offers valuable insights from passengers’ experiences, contributing to the development of future public transportation systems and the understanding of autonomous vehicle acceptance.

Airplanes

Virgin Atlantic is building a digital core at the heart of its business to provide customers with a seamless shop, book, and service experience for flights and holidays, with an understanding of their preferences across the entire journey.

Alaskan Airlines implemented an AI-driven program called Flyways during a trial period to discover optimal flight paths by considering factors such as the original route, current weather conditions, and weight of the aircraft.

Airbus is leveraging its expertise in artificial intelligence to develop automated solutions for air traffic management. Their Unmanned Traffic Management (UTM) system aims to help control the movement of aircraft as an adjunct to human controllers, and potentially without the need for human intervention.

Shield AI is building AI systems for a new generation of aircraft that provide persistent aerial dominance across sea, air, and land. Their technology is designed to autonomously execute missions and read and react to adversaries and the environment.

Merlin Labs has developed a digital pilot that can take the place of a human copilot. They are working with the Air Force to equip C-130J cargo planes with their system, potentially allowing the aircraft to be flown by a single human paired with an artificial copilot.

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