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| Funder | Vinnova |
|---|---|
| Recipient Organization | Chalmers University of Technology |
| Country | Sweden |
| Start Date | Oct 31, 2023 |
| End Date | Oct 30, 2024 |
| Duration | 365 days |
| Number of Grantees | 1 |
| Roles | Principal Investigator |
| Data Source | Swedish Research Council |
| Grant ID | 2023-03057_Vinnova |
Purpose and goal:
This project is focused on improving the safety and understanding of Vulnerable Road Users (VRUs) with reduced mobility across various traffic environments. Our research will provide a thorough understanding of their motion patterns and the safety challenges they face in different environmental settings - both in terms of external threats and perceived danger.
The insights derived from the collected data will guide practical recommendations for infrastructure improvements and tailored safety measures. Expected results and effects:
Building on the insights and data collected during this project, we will lay a robust foundation for the Proof of Concept phase, which will focus on building an AI-enabled inclusive and infrastructure-aware traffic monitoring and analysis system. The detailed understanding of VRUs´ challenges and motion patterns coupled with different types of infrastructure will guide the design and functionalities of the upcoming system development.
This ensures that the system is not just technologically sound but is also addressing the genuine needs of VRUs in real-world traffic scenarios. Approach and implementation:
The project is structured through 4 WPs. The objective of WP1 is to compile existing safety research data including a critical review, environmental analysis, and interviews with relevant stakeholders. In WP2, we will analyze the motion patterns and behaviors of VRUs with reduced mobility in urban and suburban environments through user studies.
An inclusivity-focused real-life multi-sensor dataset will be collected in WP3 for benchmarking AI-based VRU detection and tracking algorithms. Finally, in WP4, we aim to establish a viable objective and a detailed plan for the next steps.
Chalmers University of Technology
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