AI Innovations and Ethical Data Approaches Highlighted at Mobile Tartu Conference
The 9th Mobile Tartu Conference organized by the The Mobility Lab of the University of Tartu focused on mobile big data analytics for fair and sustainable societies. The use of appropriate data-driven approaches and advanced AI technologies to address these pressing challenges was strongly emphasised.
During the conference, Prof. Jukka Krisp (University of Augsburg/University of Tartu) discussed the role of AI in improving navigation and personalised routing, emphasising the importance of trustworthy data and ethical deployment. Regarding AI, Prof. Nico Van de Weghe (Ghent University) highlighted how generative AI impacts mobility research, showcasing its potential to simulate traffic flows and optimize transport schedules.
The concept of Mobility Data Justice, focusing on equitable access to mobility and data while addressing the ethical implications of datafication, was introduced by Prof. Anu Masso (Tallinn University of Technology), who brought up one of the key topics in the field of data. Lastly, Prof. Robin Lovelace (University of Leeds) advocated for reproducible research and open-source tools in transport planning to ensure long-term impact.
Another contribution to the conference came from Gerard Franco-Panadés, a PhD candidate from Servei Català de Trànsit and CARNET. He presented his research on the use of artificial intelligence for improving traffic flow and detecting the probability of accident risks on interurban roads. His work highlights how advanced algorithms can process real-time traffic data to forecast traffic characteristics and actuate in real-time through traffic panels, traffic and navigation apps, or law enforcement action; leading to traffic improvement and to safer roads.
A key conclusion from the conference was that collaboration between scholars, transport developers, and tech providers is crucial for integrating AI into transportation systems, driving cross-disciplinary efforts and ground-breaking research. These initiatives demonstrate how AI can revolutionize mobility planning through effective data usage and ethical implementation, enhancing traffic management.
Overall, the integration of AI into mobility will improve transport efficiency and quality of life, leading to more equitable and sustainable mobility. Insights from the Mobile Tartu Conference highlight the importance of reliable data, ethical AI deployment, and interdisciplinary collaboration in mobility planning. This approach not only enhances traffic management but also makes transportation systems more sustainable for all users, as advancements in AI contribute to smarter and more efficient mobility, reducing traffic congestion and pollution. Efficient transport planning also promotes sustainable modes like public transit and cycling, fostering a healthier environment.
