MIT Portugal PhD Student @ U-Shift/CERIS & SIPG/ISR
Fourth-year MIT Portugal Transportations Systems PhD candidate at Instituto Superior
Técnico. Miguel's doctoral research focuses on understanding both objective and
subjective urban cycling safety and the link between the two. He is currently using
Computer Vision and Machine Learning methods to create a platform for understanding both
cycling safeties. He completed his MSc in Electrical and Computer Engineering at
Instituto Superior Técnico and worked as a research fellow at the Institute for
Systems and Robotics (ISR-IST) before starting his doctoral path.
During his free time, Miguel is 1 part Lego builder, 1 part amateur chef, and 1 part tech enthusiast.
CYCLANDS is a curated collection of 30 datasets on cycling crashes to lower the barrier in objective cycling research comprising nearly 1.6M cycling accidents. This data is vital for road safety analysis, enabling researchers to develop models to understand how different factors impact the frequency and severity of accidents. Observations include the severity and location of the accident, aiming to foster the worldwide study of cycling safety by providing a testbed for researchers.
Circuity, the ratio of network distances to straight-line distances, is considered a critical measurement in urban network morphology and transportation efficiency as it can measure the attractiveness of routes in terms of distance traveled. Here, we compare circuity measures for drivable, cyclable, and walkable networks to analyze how they evolved and understand whether urban changes have produced meaningful circuity changes.
Development of different metrics to assess the risk perception of a cyclist when riding a bike in an urban scenario. In this domain, the trajectory of the cyclist is considered, as well as other stationary or moving objects in its vicinity, its change in speed, acceleration and its geographic positioning (given by the smartphone) and the effort/stress of the rider, by analyzing their heart rate variability in an ECG.
Development of a device capable of automatically digitalize and map a network of sidewalks in a city. This mapping will allow for the further development of support applications with the objective of guiding pedestrians in cities with various mobility needs. This project was funded by Thales TecInnov 1st Edition.