Tuesday 18.02.26

at 15:00 in 3rd floor conference room in Amado building.

Transportation research has recognized the limitations of mathematical models, emphasizing the need to rely on empirical data, to account for spatial structure, and to adopt comparative approaches. The study explores traffic patterns in London, Berlin, and Montevideo using real-world traffic data from 2021–2024. We apply clustering methods, statistical tests against random distributions, time series analysis, and a comparative assessment of traffic behavior. Traffic dynamics differ significantly across the three cities and are not attributable to randomness. Each city exhibits distinct behavioral patterns across road categories, with time series analysis confirming systematic differences by both city and road type. These differences are attributed to urban spatial structure, which acts as a stable factor shaping the long-term redistribution of traffic within cities. These findings will be discussed in the seminar.

Contact information: Gleb | 058-7133117 | mail: glebr@campus.technion.ac.il