Last modified on November 4, 2024

ERTICO’s Perspectives on Artificial Intelligence in Transport & Mobility

ERTICO’s Perspectives on Artificial Intelligence in Transport & Mobility

4 November 2024

Artificial Intelligence (AI) is set to revolutionise how we manage and experience transport across Europe, optimising traffic management, advancing automotive technologies, improving public transportation systems, and facilitating logistics and supply chains. In their newly published White Paper on “Perspectives on Artificial Intelligence in the Domain of Transport & Mobility”, ERTICO-ITS Europe examines the opportunities, challenges, and future outlook. It explores the potential of related applications, including generative AI and large language models, and how they can support compliance with European Union (EU) policy targets.

AI technologies are helping to build a more connected, resilient, and user-centric mobility ecosystem, where public transport, shared mobility, and low-emission options are increasingly prioritised. For connected and automated mobility (CCAM), AI can enable higher levels of autonomy up to fully autonomous vehicles. It also enables predictive maintenance, smarter route planning, vehicle-to-infrastructure communication, real-time adjustment of traffic signal timings and of public transport schedules in response to real-time demand.

While the benefits of AI in mobility are substantial, several challenges remain to ensure its responsible and effective implementation:

  • Regulation and compliance: AI systems, particularly in high-risk applications like traffic control and automated driving, must adhere to strict EU regulations to safeguard public safety and privacy, such as the AI Act.
  • Data privacy: AI-driven mobility solutions often rely on vast amounts of data. Ensuring data protection and transparency will be essential to gaining public trust and compliance with EU data regulations.
  • Skills gap: As AI reshapes the transport sector, new skill sets are required to manage advanced systems, which needs to be addressed through targeted training and educational programs.

Implementation of AI technologies in mobility will also require international collaboration to harmonise standards for seamless cross-border operations, investment in research & innovation for safety and ethics, as well as ensure inclusive and accessible mobility for all road users.

Source: The original article was published here