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Predicting the impact of urban change in pedestrian and road safety
In this paper, by considering historical accident data and Street View images, we detail how to automatically predict the impact (increase or decrease) of urban interventions on accident incidence.
Explainable, automated urban interventions to improve pedestrian and vehicle safety
At the moment, urban mobility research and governmental initiatives are mostly focused on motor-related issues, e. g. the problems of congestion and pollution.
Predicting Driver Self-Reported Stress by Analyzing the Road Scene
Several studies have shown the relevance of biosignals in driver stress recognition.
Emergence of spatial transitions in urban congestion dynamics
The analysis of a large amount of real road networks in previous works showed that congestion points experience spatial abrupt transitions, namely they shift away from the city center as larger urban areas are incorporated.
Physics and Society Adaptation and Self-Organizing Systems
