Urban sensing based on mobile phone data: Approaches, applications, and challenges

M Ghahramani, MC Zhou… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
Data volume grows explosively with the proliferation of powerful smartphones and
innovative mobile applications. The ability to accurately and extensively monitor and …

A survey of data fusion in smart city applications

BPL Lau, SH Marakkalage, Y Zhou, NU Hassan… - Information …, 2019 - Elsevier
The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …

A review of big data applications in urban transit systems

K Lu, J Liu, X Zhou, B Han - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Operations, management and planning of urban transit systems have evolved substantially
since the application of transit data collection technologies, such as, automated fare …

[PDF][PDF] The role of environmental conditions and purchasing power parity in determining quality of life among big Asian cities

M Audi, A Ali - International Journal of Energy Economics and Policy, 2023 - zbw.eu
This article has examined the role of environmental conditions and purchasing power parity
in deciding the quality of life among big Asian cities. The study has constructed an index for …

[HTML][HTML] iabacus: A wi-fi-based automatic bus passenger counting system

M Nitti, F Pinna, L Pintor, V Pilloni, B Barabino - Energies, 2020 - mdpi.com
Since the early stages of the Internet-of-Things (IoT), one of the application scenarios that
have been affected the most by this new paradigm is mobility. Smart Cities have greatly …

Observer-based event-triggered adaptive platooning control for autonomous vehicles with motion uncertainties

Y Xue, C Wang, C Ding, B Yu, S Cui - Transportation research part C …, 2024 - Elsevier
Based on the back-stepping technique, this paper designs an observer-based event-
triggered adaptive platooning control algorithm for autonomous vehicles (AVs) with motion …

[PDF][PDF] Visualizing public transit system operation with GTFS data: A case study of Calgary, Canada

P Prommaharaj, S Phithakkitnukoon, MG Demissie… - Heliyon, 2020 - cell.com
Public transportation agencies are one of the industries that generate a large volume of data
on a high frequency and velocity basis. The General Transit Feed Specification (GTFS) is …

[HTML][HTML] Deriving neighborhood-level diet and physical activity measurements from anonymized mobile phone location data for enhancing obesity estimation

RZ Zhou, Y Hu, JN Tirabassi, Y Ma, Z Xu - International Journal of Health …, 2022 - Springer
Background Obesity is a serious public health problem. Existing research has shown a
strong association between obesity and an individual's diet and physical activity. If we …

Understanding urban human mobility through crowdsensed data

Y Zhou, BPL Lau, C Yuen, B Tunçer… - IEEE Communications …, 2018 - ieeexplore.ieee.org
Understanding how people move in the urban area is important for solving urbanization
issues, such as traffic management, urban planning, epidemic control, and communication …

[PDF][PDF] Inferring social influence in transport mode choice using mobile phone data

S Phithakkitnukoon, T Sukhvibul, M Demissie… - EPJ Data Science, 2017 - Springer
A longitudinal mobile phone data that include both location and communication logs is
analyzed to infer social influence in terms of ego-network effect in the commute mode …