[HTML][HTML] Transportation Mode Detection Using Learning Methods and Self-Contained Sensors

I Gharbi, F Taia-Alaoui, H Fourati, N Vuillerme, Z Zhou - Sensors, 2024 - mdpi.com
Due to increasing traffic congestion, travel modeling has gained importance in the
development of transportion mode detection (TMD) strategies over the past decade …

Investigating the impact of information sharing in human activity recognition

MA Shafique, SS Marchán - Sensors, 2022 - mdpi.com
The accuracy of Human Activity Recognition is noticeably affected by the orientation of
smartphones during data collection. This study utilized a public domain dataset that was …

[HTML][HTML] Improving ridership by predicting train occupancy levels

MA Shafique - Journal of Public Transportation, 2024 - Elsevier
With the frequent global breakouts of infectious diseases such as Covid-19 and the likes,
passengers feel unsafe traveling in crowded trains. The reluctance to share public transport …

Sensing With Integrity: Responsible Sensor Systems in an Era of AI

D Eisenberg - 2024 - search.proquest.com
Deep and machine learning now offer immense benefits for consumer choice,
decisionmaking, medicine, mental health and education, smart cities, and intelligent …

Urban low carbon transportation travel mode selection method based on Bayesian DSGE model.

JY Geng, S Patnaik - Advances in Transportation Studies, 2022 - search.ebscohost.com
Due to the problems of low emission reduction contribution rate, large carbon emissions and
low accuracy of selection results after applying the traditional low-carbon transportation …