3 papers
cs.CV2026
The Harsh Truth: Segment-Level Analysis of Harsh Driving Events in Milan Using Large-Scale Telematics, Street Networks, and Google Street View
Andrea La Grotteria, Paolo Santi, Titus Venverloo +2
Police-reported crash statistics remain the standard input for urban road-safety assessment, but their incompleteness and reporting lag limit their usefulness for timely, fine-grai…
cs.NI2026
Dot-Flik: A Scalable Edge AI Architecture for Distributed Insect Monitoring
Mattia Consani, Denisa-Andreea Constantinescu, Ã se HÃ¥tveit +4
Global insect population declines necessitate scalable, continuous monitoring systems, yet existing vision-based solutions remain constrained by high hardware costs, energy demands…
physics.soc-ph2025
Street design and driving behavior: evidence from a large-scale study in Milan, Amsterdam, and Dubai
Giacomo Orsi, Titus Venverloo, Andrea La Grotteria +4
In recent years, cities have increasingly reduced speed limits from 50 km/h to 30 km/h to enhance road safety, reduce noise pollution, and promote sustainable modes of transportati…