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Internet of Vehicles (IoV), Intelligent Transportation Systems and Cybersecurity

Published: November 2025

The development of intelligent transportation systems (ITS) and the Internet of Vehicles (IoV) is leading to a networking of vehicles and traffic infrastructure, optimizing traffic flow and increasing road safety. By integrating technologies such as AI, blockchain, and IoT, vehicles can communicate with traffic lights and other traffic elements in real time, reducing congestion and environmental impact. Security mechanisms based on blockchain technology and machine learning ensure data transmission and protect against cyberattacks. Furthermore, big data and machine learning are used to predict traffic flows and improve accident prevention techniques. With the continued development of 5G and soon 6G networks, communication between vehicles (V2X) and traffic infrastructure will be further enhanced, contributing to a more efficient and safer transportation system.

Guiding questions

  • How can data transmission and cybersecurity be optimally secured in IoV and intelligent transport systems?
  • What infrastructure is required to ensure smooth and secure communication between vehicles and traffic infrastructure in Thuringia?
  • How can environmentally friendly transport solutions, such as electric vehicles and micromobility, be promoted through intelligent transport systems?
  • What measures are necessary to optimize traffic flows in real time while simultaneously ensuring data protection?
Image description: Autonomous vehicles drive on a road, surrounded by urban landscape and other road users.

challenges

The increasing connectivity and digitalization of transportation brings new security requirements. Cybersecurity mechanisms must be developed to effectively protect IoT environments and vehicle networks from attacks. Detecting and defending against cyberattacks, such as DDoS and wormhole attacks, requires new methods based on machine learning and blockchain technology. At the same time, the expansion of 5G and future 6G infrastructures, real-time communication, and data processing place high demands on the technological infrastructure. The collection and use of large data sets for traffic forecasting and accident analysis must also be designed to be both data protection compliant and efficient.

Concrete examples

  • Intelligent traffic light control: e.g., adjusting traffic light phases to traffic volume
  • Collision warning systems for accident prevention: Real-time warnings of approaching vehicles and obstacles
Image description: Foresight – Thuringia, Blue Eye in focus

Foresight Report

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Reference

Your contact persons

Reference

Michel Reichardt

Michel Reichardt Project Manager Strategic Foresight

Christoph Grollman

Christoph Grollman Project Manager Strategic Foresight

Dr. Sophia Gänßle

Dr. Sophia Gänßle Project Manager Data Science Strategic Foresight

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