Explore some of our ongoing and upcoming projects that drive inclusivity, accessibility, and innovation in transportation systems and mobility. 🚀

Inclusive Mobility Mapping: Enhancing Safety for Vulnerable Road Users (VRUs) with Reduced Mobility

Project ID: Inclusive Mobility Mapping Funding Period: October 2023 to October 2024 Funding Agency: Vinnova (Dnr: 2023-03057)

Overview: This project focuses on enhancing safety for vulnerable road users (VRUs) with reduced mobility through data-driven mapping and innovative accessibility solutions. By integrating AI and multimodal data analysis, we aim to create safer, more inclusive urban environments.

Creating an Inclusivity Index for Digital Twin (IIDT) Transportation Systems

Project ID: Inclusivity Index Funding Period: January 2025-01 to December 2026 Funding Agency: Transport Area of Advance (Dnr: SOT C 2024-0299-37)

Overview: A digital twin in transportation systems is a virtual replica that includes data and its semantics, simulating real-world conditions. This project focuses on ensuring inclusivity in digital twins, addressing potential biases in AI-driven decision-making.

Why It Matters:

  • Inclusivity in AI Development: If digital twins fail to represent underrepresented groups (e.g., people with disabilities and the elderly), AI systems may inherit these gaps, leading to biased outcomes.
  • Accurate Representation: Comprehensive data from diverse population ensure AI systems function effectively and equitably in real-world scenarios.
  • Innovation through Metrics: Developing indexes to assess the inclusivity and diversity of digital twins promotes fair and reliable AI systems.

Objectives:

  • Ensure representation of all population groups, including those with mobility challenges.
  • Develop tools and metrics to assess and improve inclusivity in digital twins.
  • Support fair and accurate automated decision-making in transportation systems.

InfraHelper: Enhancing Digital Twins and Universal Design with Multimodal Data

Project ID: InfraHelper Funding Period: July 2025 to December 2025 Collaboration: City of Gothenburg (SLK-2025-00073)

Overview: This pilot study focuses on human-centered road analysis for digital twin modeling and universal design using multimodal data. The project aims to create more inclusive and accessible urban infrastructure through advanced data integration.

Objectives:

  • Enrich Digital Twin Models: Integrate multimodal data to enhance digital twin models of Gothenburg’s city infrastructure
  • Support Universal Design: Implement design principles that ensure accessibility and inclusivity for all road users

Stay tuned for updates and results from these transformative projects!