The Future of Transportation: AI, Connectivity, and Safety
18.03.2025
The transportation sector is undergoing major advancements that will reshape mobility, fleet management, and urban transportation. From autonomous vehicles and predictive maintenance to enhanced connectivity and mobility-as-a-service (MaaS) platforms, these innovations are driving a new era of smart and efficient travel. In this article, I will explore in what way those technologies are fueling change, backed by real-world examples and expert insights.
Autonomous Mobility And Smart Transportation Systems
We’ll notice a rise in autonomous mobility in the transportation industry. Level 4 autonomy is set to dominate logistics and commercial operations as self-driving technology matures and regulatory frameworks evolve to support it. If autonomous passenger services were once limited to pilot projects, they are now expected to expand significantly in cities that embrace innovation and provide the necessary infrastructure.
For instance, Starship’s delivery robots are just a glimpse into how AI and computer vision are enabling autonomous vehicles to operate seamlessly in complex urban environments.
Industry insights, as well, point to significant economic potential. According to McKinsey, the software powering autonomous vehicles could yield profit margins exceeding 15%, making it one of the most lucrative segments of the automotive industry.
Building on this opportunity, a German automotive leader, known for pushing boundaries in mobility, recently teamed up with Accedia to create some of the first advanced teledriving systems in Europe and the U.S. Thanks to the remote-controlled technology, we are now seeing improvements in the security and efficiency of client’s operations.
Connected Vehicles And V2X Communication
Connectivity is another cornerstone of future mobility. Soon vehicle-to-everything (V2X) communication will become integral to the success of smart cities, enabling real-time data exchange between vehicles, infrastructure and pedestrians. This interconnected ecosystem will significantly enhance traffic efficiency and passenger safety. Additionally, the integration of 5G technology will be pivotal, offering ultra-low latency communication and supporting the seamless operation of autonomous and connected vehicles.
The scale of this transformation is immense. By 2030, it is estimated that 95% of new vehicles sold globally will be connected, and 12% of those will feature Level 3 or Level 4 autonomous-driving capabilities. I’m positive this progression just proves the importance of V2X communication as a foundational technology for the future of transportation.
Passenger Safety And Regulatory Developments
Passenger safety will remain a top priority as AI in transportation continues to advance, making autonomous and connected vehicles more prevalent. Advances in AI, sensor technology and data analytics will enable vehicles to predict and respond to potential safety risks with exceptional precision. At the same time, governments worldwide will continue to step up their regulatory efforts to ensure the safe deployment of these technologies.
In the UK, the Automated Vehicles Act, which took effect in May 2024, establishes a legal framework for the operation of autonomous vehicles. Similarly, China’s new regulations, effective from April 2025, aim to balance innovation with safety. In the U.S., the National Highway Traffic Safety Administration (NHTSA) is proposing voluntary safety guidelines to encourage responsible development.
Leading nations are taking significant steps to ensure a safe and well-regulated framework for the adoption of advanced transportation technologies—something that will surely set the stage for a trend where innovation and safety go hand in hand.
EU Act Checklist: Six Steps to Find A Compliant AI Partner
Mobility-As-A-Service (MaaS) Platforms
Urban mobility is undergoing a drastic shift, with mobility-as-a-service (MaaS) platforms gaining traction as a solution to challenges like congestion and pollution. MaaS has the potential to be one of the dominant forces in urban transportation, offering passengers a seamless experience by integrating multiple modes of transport into a single platform. We can see how this trend aligns with the growing emphasis on smart cities, where integrated systems are key to solving complex mobility issues.
AI-powered route optimization is a driving force behind the adoption of MaaS, showcasing the growing role of AI in transportation. Platforms like Moovit (Intel) leverage advanced algorithms to provide personalized travel suggestions, making journeys more efficient and convenient. Moving forward, AI and its influence on urban mobility will continue to grow, making transportation networks more cohesive and efficient for cities and commuters.
Predictive Maintenance Using AI And Digital Twins
As fleets grow larger and more technologically advanced, predictive maintenance will become a critical tool for minimizing downtime and optimizing operations. AI-powered analytics and digital twin technology will play a central role in enabling real-time monitoring and predictive insights for high-value assets. In 2025 and beyond, these capabilities will become standard practice, particularly in an industry where operational efficiency is nonnegotiable.
Lufthansa Technik’s Aviatar platform exemplifies how digital twins are transforming maintenance processes. By creating virtual replicas of physical assets, the platform enables proactive maintenance planning, reducing downtime and ensuring that aircraft remain operational. Similarly, in 2023, Accedia initiated an ambitious project to integrate digital twin technology into the fleet management processes of a major aviation client. The project leverages virtual replicas to simulate and monitor operations, delivering real-time insights that enhance decision-making. By the end of 2025, these innovations are expected to reduce maintenance-related downtime by 30% and halve the time needed to deploy AI-enabled features.
How a Railway Company Uses Predictive Maintenance to Prevent Delays and Improve Efficiency
Conclusion
Driven by groundbreaking advancements in AI in transportation, connectivity and safety, the state of the transportation industry will change quickly. The innovations shared here promise to redefine mobility, offering smarter, safer and more efficient systems. The opportunities for organizations to adopt these technologies and shape the future are vast, underscoring the need to act decisively in an increasingly competitive landscape.
This article was originally published by Dimitar Dimitrov, Managing Partner at Accedia, as a contribution to the Forbes Technology Council.