Mobility, Logistics, and Automated Transport

SystemX supports the digital and energy transitions of the sector to combine improved productivity, reduced environmental footprint, and economic performance.
Evolving practices within ecosystems require anticipating and quantifying technical, operational, and regulatory changes.

Our mission : to support the integration of tomorrow’s transport systems into their physical and digital environments.

Impacts and solutions

With a strong focus on practical applications, we leverage a multidisciplinary engineering approach to deliver scalable results capable of driving real transformation across industrial sectors.

Analysys and planing Human factors and ergonomics Connectivity and cybersecurity Safety
– Data valorization
– Modeling
– Digital Twins
– UX for automated vehicles
– AI model calibration for driver monitoring
– Securing in-vehicle data
– Architectures for intelligent transportation systems
– Operational safety
– Scenario-based approach for automated road mobility
– Validation of complex systems in digital environment

Our research activities

Analysis and Planning

  • Data analysis, predictive models, generation of synthetic populations
  • Multi-agent simulations, disaggregated, multi-scale, and multimodal approaches
  • Service planning and optimization
  • Exploration of forward-looking scenarios and evaluation of potential developments
  • Visualization tools and decision support systems

Human Factors and Ergonomics

  • Analysis of in-vehicle user experience in automated vehicles (internal HMIs)
  • Communication between connected vehicles and road users, including vulnerable users (external HMIs)

Connectivity and Cybersecurity

  • Risk analysis methodologies
  • Intrusion detection
  • Simulation of cyber-physical environments

Safety and Resilience

  • Tool-based methodology for modeling the driving environment as scenarios for the design, validation, and assessment of automated road mobility systems
  • Comprehensive safety assurance methodology for automated road transport systems, including regulatory alignment
  • Validation of sensor-based systems in virtual environments

Our key technologies

  • LIAISON: Modeling platform for mobility and logistics systems.
  • MOSAR: Methods and Tools for Safety Assessment and Robustness Analysis of autonomous vehicles.
  • Cockpit Studio Lab: Testing platform for HMIs in connected and autonomous vehicles.
    Learn more.
  • CHESS for Automotive: Cybersecurity enhancement environment for transportation systems, including access control, isolation features, and attack detection engine.

Our R&D projects

  • AI4CCAM: Studying the reliability of AI solutions for connected and automated mobility.
  • AI4REALNET: Enhancing human-AI interaction for complex network supervision.
  • AWARE2ALL: Integrating vulnerable users into automated mobility systems.
  • Citcom.ai: Experimenting with AI applications in smart territories.
  • CONNECT: Ensuring convergence between safety and security in autonomous mobility. 
  • CTM: Securing and making data exchanges reliable for connected mobility.
  • CVH: Developing a toolchain for validation and homologation of connected automated vehicles.
  • SSA: Supporting the French administration on scenario-based methodology, consolidating the national approach, and promoting it internationally (GRVA – UNECE).
  • DISCO: Digital twin for modeling urban logistics systems.
  • MAIA: Design solution for automated mobility services for airport transportation.
  • SINFONICA: Design solution for automated mobility services, with special attention to users with reduced mobility.
  • SYNERGIES: Generation of real and synthetic scenarios for the development, training, virtual testing, and validation of CCAM (Cooperative, Connected and Automated Mobility) systems.
  • InterLab: Systemic modeling of SERM (Metropolitan RER systems), decision-support tool for service design and evaluation
  • EVscale: Design and evaluation tool for territorial planning of electric vehicle charging infrastructure (IRVE)
  • Study on electric vehicle charging strategies and optimization of allocation methods
  • Study on shared use of CCAM vehicles for passenger and freight transport
  • Study on the impact of a Low Traffic Zone and parking reduction strategies