Transport behavior-mining from smartphones: a review

V Servizi, FC Pereira, MK Anderson… - … transport research review, 2021 - Springer
Background Although people and smartphones have become almost inseparable,
especially during travel, smartphones still represent a small fraction of a complex multi …

Recognition of human locomotion on various transportations fusing smartphone sensors

AD Antar, M Ahmed, MAR Ahad - Pattern Recognition Letters, 2021 - Elsevier
Recognition of daily human activities in various locomotion and transportation modes has
numerous applications like coaching users for behavior modification and maintaining a …

Evaluating the interplay between trajectory segmentation and mode inference error

G Kosmacher, K Shankari - Transportation research record, 2024 - journals.sagepub.com
Travel behavior changes are essential to transportation decarbonization. Travel diaries,
consisting of sequences of trips between places, are typically used to instrument human …

Towards knowledge infusion for robust and transferable machine learning in IoT

J Fürst, MF Argerich, B Cheng, E Kovacs - Open Journal of Internet of …, 2020 - ronpub.com
Machine learning (ML) applications in Internet of Things (IoT) scenarios face the issue that
supervision signals, such as labeled data, are scarce and expensive to obtain. For example …

Large Scale Passenger Detection with Smartphone/Bus Implicit Interaction and Multisensory Unsupervised Cause-effect Learning

V Servizi, DR Persson, FC Pereira, H Villadsen… - arXiv preprint arXiv …, 2022 - arxiv.org
Intelligent Transportation Systems (ITS) underpin the concept of Mobility as a Service
(MaaS), which requires universal and seamless users' access across multiple public and …