SloveniaThe article discusses the application of artificial intelligence (AI) in improving traffic systems in European cities such as Amsterdam, Helsinki, and Messina through research projects involving the Jožef Stefan Institute. These AI-driven systems analyze complex traffic patterns and reveal that no single solution is universally effective, emphasizing the need for a multi-dimensional evaluation of traffic systems considering factors like safety, time, environment, and human frustration. The article criticizes current traffic planning practices in Slovenia, using the Dragomer highway exit as an example where a signal-controlled intersection was chosen over a roundabout, leading to inefficiencies and accidents. It highlights the misconception that building more lanes solves congestion, noting that this approach often increases traffic volume due to induced demand. The author argues that modern AI simulations could provide optimal solutions by evaluating various combinations of infrastructure elements.
Bias read (Center): The article presents a technical critique of traffic management policies and infrastructure design choices in Slovenia, highlighting inefficiencies and suggesting alternative approaches based on AI modeling. While it critiques current practices and implies criticism of decision-making processes, it
